Tag: Education

  • Tech Titans, Ideologues, and the Future of American Higher Education — 2026 Update

    Tech Titans, Ideologues, and the Future of American Higher Education — 2026 Update

    This article is an update to our June 2025 Higher Education Inquirer report, Tech Titans, Ideologues, and the Future of American Higher Education. Since that report, the landscape of higher education has evolved dramatically. New developments — the increasing influence of billionaire philanthropists like Larry Ellison, private-equity figures such as Marc Rowan, and the shocking assassination of Charlie Kirk — have intensified the pressures on traditional colleges and universities. This update examines how these forces intersect with ideology, governance, financial power, and institutional vulnerability to reshape the future of American higher education.

    American higher education is under pressure from multiple directions, including financial strain, declining enrollment, political hostility, and technological disruption. Yet perhaps the greatest challenge comes from powerful outsiders who are actively reshaping how education is perceived, delivered, and valued. Figures such as Donald Trump, Elon Musk, Peter Thiel, Sam Altman, Alex Karp, Charlie Kirk, Larry Ellison, and Marc Rowan are steering resources, ideology, and policy in ways that threaten traditional universities’ missions. Each brings a distinct ideology and strategy, but their combined influence represents an existential pressure on the system.

    Larry Ellison, the billionaire founder of Oracle, has pledged to give away nearly all his fortune and already directs hundreds of millions toward research, medicine, and education-related causes. Through the Ellison Institute of Technology, he funds overseas campuses and scholarship programs at institutions like the University of Oxford. Ellison represents a “disruptor” who does not challenge degrees outright but reshapes the allocation of educational resources toward elite, globally networked research.

    The University of Phoenix cyberbreach is more than another entry in the long list of attacks on higher education. It is the clearest evidence yet of how private equity, aging enterprise software, and institutional neglect have converged to create a catastrophic cybersecurity landscape across American colleges and universities. What happened in the summer of 2025 was not an unavoidable act of foreign aggression. It was the culmination of years of cost-cutting, inadequate oversight, and a misplaced faith in legacy vendors that no longer control their own risks.

    The story begins with the Russian-speaking Clop cyber-extortion group, one of the most sophisticated data-theft organizations operating today. In early August, Clop quietly began exploiting a previously unknown vulnerability in Oracle’s E-Business Suite, a platform widely used for payroll, procurement, student employment, vendor relations, and financial aid administration. Oracle’s EBS system, decades old and deeply embedded across higher education, was never designed for modern threat environments. As soon as Clop identified the flaw—later assigned CVE-2025-61882—the group launched a coordinated campaign that compromised dozens of major institutions before Oracle even acknowledged the problem.

    Among the most heavily affected institutions was the University of Phoenix. Attackers gained access to administrative systems and exfiltrated highly sensitive data: names, Social Security numbers, bank accounts, routing numbers, vendor records, and financial-aid-related information belonging to students, faculty, staff, and contractors. The breach took place in August, but Phoenix did not disclose the incident until November 21, and only after Clop publicly listed the university on its extortion site. Even after forced disclosure, Phoenix offered only vague assurances about “unauthorized access” and refused to provide concrete numbers or a full accounting of what had been stolen.

    Phoenix was not alone. Harvard University confirmed that Clop had stolen more than a terabyte of data from its Oracle systems. Dartmouth College acknowledged that personal and financial information for more than a thousand individuals had been accessed, though the total is almost certainly much higher. At the University of Pennsylvania, administrators said only that unauthorized access had occurred, declining to detail the scale. What links these incidents is not prestige, geography, or mission. It is dependency on Oracle’s aging administrative software and a sector-wide failure to adapt to a threat environment dominated by globally coordinated cybercrime operations.

    Marc Rowan, co-founder and CEO of Apollo Global Management, has leveraged private-equity wealth to influence higher education governance. He gave $50 million to Penn’s Wharton School, funding faculty and research initiatives and has recently pushed alumni to withhold donations over issues of campus policy and antisemitism. Rowan also helped shape the Trump administration’s Compact for Academic Excellence, linking federal funding to compliance with ideologically driven standards. He exemplifies how private wealth can steer university governance and policy, reshaping priorities on a national scale. Together, Ellison and Rowan illustrate the twin dynamics of power and influence destabilizing higher education: immense private wealth, and the ambition to reshape institutions according to their own vision.

    With these powerful outsiders shaping the landscape, traditional universities increasingly face pressures to prioritize elite, donor-driven projects over broad public missions. Private funding favors high-prestige initiatives over public-access education, and large contributors can dictate leadership and policy directions. University priorities shift toward profitable or ideologically aligned projects, creating a two-tier system in which elite, insulated institutions grow while public universities struggle to compete, widening disparities in access and quality.

    The stakes of this upheaval have become tragically tangible. The assassination of Charlie Kirk in 2025 was a horrific reminder that conflicts over ideology, money, and influence are not abstract. Violence against public figures engaged in higher education policy and advocacy underscores the intensity of polarization and the human costs of these struggles. Such events cast a shadow over campuses, donor boards, and political advocacy alike, highlighting that the battle over the future of education is contested not only in boardrooms and legislatures but in life and death.

    Students face shrinking access to affordable, publicly supported higher education, particularly those without means or connections to elite institutions. Faculty may encounter restrictions on academic freedom and institutional autonomy, as donor preferences and political pressures increasingly shape hiring, curriculum, and governance. Society risks losing the traditional public mission of universities — fostering critical thinking, civic engagement, and broad social mobility — as education becomes more commodified, prioritizing elite outcomes over the public good.

    Building on our June 2025 report, this update underscores the accelerating influence of tech titans, ideologues, and billionaire philanthropists. Figures such as Ellison and Rowan are reshaping not just funding streams but governance structures, while the assassination of Charlie Kirk painfully illustrates the human stakes involved. Traditional colleges face a stark choice: maintain their public mission — democratic access, critical inquiry, and civic purpose — or retreat into survival mode, prioritizing donor dollars, corporate partnerships, and prestige. The pressures highlighted in June are not only continuing but intensifying, and the consequences — for students, faculty, and society — remain profound.

    Sources

    Fortune: Larry Ellison pledges nearly all fortune (fortune.com)

    Times Higher Education: Ellison funds Oxford scholars (timeshighereducation.com)

    Almanac UPenn: Rowan gift to Wharton (almanac.upenn.edu)

    Inquirer: Rowan donor pressure at Penn (inquirer.com)

    Inquirer: Rowan and Trump’s Compact (inquirer.com)

    Higher Education Inquirer original article (highereducationinquirer.org)

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  • NIH Approves 100s of Grant Applications It Shelved or Denied

    NIH Approves 100s of Grant Applications It Shelved or Denied

    The National Institutes of Health is deciding, per court agreements, whether to award or deny droves of grant applications that the agency previously either rejected or shelved. This funding was stalled last year amid the Trump administration’s blunt moves to restrict research into certain disfavored topics, such as diversity, equity and inclusion—though researchers and state attorneys general said officials shot down a greater range of projects, including ones that could save lives.

    The NIH’s agreements, laid out in court filings in two ongoing lawsuits, are already bearing fruit. A spokesperson for the Massachusetts attorney general’s office, which is leading one of the cases, said the agreement in that suit promises decisions on more than 5,000 grants nationally. On Dec. 29, the date of the agreement, the NIH issued 528 grant decisions, 499 of which were approvals, the spokesperson said.

    A spokesperson for the American Civil Liberties Union, which is leading the other case, said the agreement in that case involves about 400 grants. He said the NIH awarded at least 135 out of 146 applications in a batch of decisions on Dec. 29.

    The filings set a series of dates by which the NIH agreed to decide on awarding or denying other types of grants. The last deadline is July 31.

    The agreements are another example of the Trump administration reversing many of its sweeping cuts to research funding in response to litigation. Researchers and organizations filed suit after suit last year after the NIH and other federal funding agencies abruptly terminated previously awarded grants and sat on applications for new ones.

    In a news release, the ACLU said the grants that the NIH will now decide on “address urgent public health issues, including HIV prevention, Alzheimer’s disease, LGBTQ+ health, and sexual violence.” ACLU of Massachusetts legal director Jessie Rossman said in the release that the NIH’s “unprecedented” and “unlawful” actions put “many scientists’ careers in limbo, including hundreds of members of the American Public Health Association and the UAW union.”

    ACLU lawyers are among the attorneys representing those groups, Ibis Reproductive Health and individual researchers in a suit they filed in April against the NIH and the larger Health and Human Services Department for stalling and rejecting grant funding. Democratic state attorneys general filed a similar suit in the same court, the U.S. District Court of Massachusetts.

    The agencies agreed to decide these grant applications in exchange for the plaintiffs dismissing some of their claims. The agencies didn’t admit wrongdoing.

    In a news release, the Massachusetts attorney general’s office said the Trump administration “indefinitely withheld issuing final decisions on applications that had already received approval from the relevant review panels,” leaving the states that sued “awaiting decisions on billions of dollars.”

    The release said that, for example, when the suit was filed in April, the University of Massachusetts “had 353 applications for NIH funding whose review had been delayed, signifying millions in potential grant funding that would aid in lifesaving medical research.” Massachusetts attorney general Andrea Joy Campbell said in a statement that “lifesaving studies related to Alzheimer’s disease, cancer, and other devastating illnesses were frozen indefinitely—stealing hope from countless families across the country and putting lives at risk.”

    It’s unclear how much money the NIH may dole out in total. An HHS spokesperson told Inside Higher Ed that the “NIH cannot comment on the status of individual grant applications or deliberations.”

    “The agency remains committed to supporting rigorous, evidence-based research that advances the health of all Americans,” the spokesperson said. HHS and the NIH didn’t provide interviews or further comment.

    Meanwhile, a legal fight continues over grants that the NIH previously approved but later canceled.

    Lingering Questions

    In June, in these same two cases, U.S. District Judge William Young ordered the NIH to restore grants the agency had awarded but then—after Trump retook the White House—terminated midgrant.

    Young, a Reagan appointee, criticized the federal government for not formally defining DEI, despite using that term to justify terminating grants. He said at a hearing that he’d “never seen racial discrimination by the government like this” during his four decades as a federal judge.

    But, two months later, the U.S. Supreme Court, in a 5-to-4 preliminary decision, stayed Young’s ruling ordering restoration of the grants. Justice Amy Coney Barrett, a Trump appointee, wrote for the majority that Young “likely lacked jurisdiction to hear challenges to the grant terminations, which belong in the Court of Federal Claims.” However, STAT reported that the NIH had restored more than 2,000 terminated grants following Young’s ruling, and it didn’t reverse course after the Supreme Court decision.

    That question of whether researchers with canceled grants must ultimately try their luck before the Court of Federal Claims is now before the U.S. First Circuit Court of Appeals. There’s a hearing Tuesday in that matter.

    Questions linger about when the grant fight will really end. In a video interview with journalist Paul Thacker—released Wednesday and previously reported on by STAT—NIH director Jay Bhattacharya said that, despite the grant restorations, any grants dealing with DEI that come up for renewal this year won’t be funded. Bhattacharya distinguished between cutting a grant and not renewing it.

    He said that, “as best I can understand the legal aspects,” the courts have said his agency can’t cut restored grants. “But, when it comes to renewal, those grants no longer meet NIH priorities … so when they come up for renewal over the course of the year, we won’t renew them,” he said.

    Bhattacharya said the NIH’s DEI-related work “did not actually have any chance of improving the health of minority populations.” He said, “I think that the shift away from DEI is of a piece with the rest of what we’re trying to do at the NIH, which is to do research that actually makes the lives of people better.”

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  • How Higher Education Inquirer’s 2016 Warnings Played Out, 2016–2025 (Glen McGhee)

    How Higher Education Inquirer’s 2016 Warnings Played Out, 2016–2025 (Glen McGhee)

    In December 2016, the Higher Education Inquirer published a set of 18 predictions warning of an ongoing “U.S. College Meltdown.” At the time, these warnings ran counter to the dominant narrative promoted by university leaders, accreditation agencies, Wall Street analysts, and much of the higher education press. College, readers were assured, remained a sound investment. Institutional risks were described as isolated, manageable, or limited to a small number of poorly run schools.

    Nearly nine years later, that confidence has collapsed.

    A comprehensive review of publicly available data, investigative journalism, court records, and government reports shows that 17 of the Higher Education Inquirer’s 18 predictions—94.4 percent—have been fully or partially confirmed. What was once framed as speculation now reads as an early diagnosis of a system already in advanced decline.

    This article is not a victory lap. It is an accounting—of warnings ignored, of structural failures compounded, and of a higher education system reshaped less by learning than by debt, austerity, and financial engineering.

    The Growth of Student Debt

    In 2016, total student loan debt stood at approximately $1.4 trillion. By 2025, it had surpassed $1.8 trillion, despite repeated claims that the crisis was stabilizing. Millions of borrowers cycled in and out of forbearance, delinquency, and default, often unaware of the long-term consequences of capitalization, interest accrual, and damaged credit.

    Temporary relief programs—pandemic pauses, income-driven repayment plans, and selective forgiveness—offered short-term breathing room while failing to address the underlying cost structure of higher education. Legal challenges and administrative reversals further destabilized borrower expectations, reinforcing the sense that student debt had become a permanent feature of American life rather than a transitional burden.

    The Higher Education Inquirer warned in 2016 that student loans would increasingly function as a disciplinary mechanism, constraining career choice, delaying family formation, and suppressing economic mobility. That warning has proven prescient.

    Graduate Underemployment and the Erosion of the Degree Premium

    Another core prediction concerned the labor market. While headline unemployment numbers often appeared strong, the quality of employment deteriorated. By the early 2020s, a majority of recent four-year college graduates were underemployed—working in jobs that did not require a degree or offered limited advancement.

    Wages stagnated even as credential requirements rose. Employers demanded more education for the same roles, while offering less stability in return. The result was a generation of graduates caught between rising expectations and diminishing returns.

    This shift exposed a contradiction at the heart of the modern university: institutions continued to market degrees as pathways to prosperity, even as internal data increasingly showed that outcomes varied dramatically by institution, major, race, and class.

    Enrollment Decline and the Demographic Cliff

    The enrollment downturn predicted in 2016 arrived in waves. First came post–Great Recession skepticism. Then demographic decline reduced the number of traditional college-age students. Finally, the pandemic accelerated distrust, remote learning fatigue, and financial strain.

    By the mid-2020s, enrollment losses were no longer cyclical. They were structural.

    Colleges responded not by rethinking pricing or mission, but by cutting costs. Programs were eliminated, faculty positions left unfilled, and student services hollowed out. In rural and working-class regions, entire communities lost anchor institutions that had served as employers, cultural centers, and pathways to upward mobility.

    Institutional Debt, Financialization, and Risk Shifting

    One of the most underreported developments has been the rise of institutional debt. Facing declining tuition revenue, many colleges turned to bond markets to finance operations, capital projects, or refinancing. This strategy delayed collapse but increased long-term vulnerability.

    The Higher Education Inquirer warned that debt-financed survival strategies would transfer risk downward—onto students through higher tuition, onto staff through layoffs, and onto local governments when institutions failed. That pattern has repeated itself across the country.

    Meanwhile, elite universities with massive endowments continued to expand, insulate themselves from risk, and benefit from tax advantages unavailable to less wealthy institutions.

    Closures, Mergers, and Asset Stripping

    Since 2016, well over one hundred colleges have closed, merged, or been absorbed. Many closures were preceded by years of warning signs: declining enrollment, deferred maintenance, accreditation scrutiny, and emergency fundraising campaigns.

    In some cases, institutions sold land, buildings, or entire campuses to survive. In others, boards pursued mergers that preserved branding while eliminating local governance and jobs.

    These were not isolated failures. They were the predictable outcome of a system that prioritized growth, prestige, and financial metrics over resilience and public accountability.

    The Limits of Reform and the Failure of Oversight

    Perhaps the most sobering confirmation of the 2016 analysis is not any single data point, but the broader failure of reform. Despite abundant evidence of harm, regulatory responses remained fragmented and reactive. Accreditation agencies rarely intervened early. Federal enforcement was inconsistent. Media coverage often framed crises as unfortunate anomalies rather than systemic outcomes.

    The Higher Education Inquirer argued in 2016 that the greatest risk was not collapse itself, but normalization—the slow acceptance of dysfunction as inevitable. That normalization is now visible in policy debates that treat mass underemployment, lifelong debt, and institutional instability as the cost of doing business.

    A Crisis Foretold

    The U.S. college meltdown did not arrive as a single dramatic event. It unfolded slowly, unevenly, and predictably—through spreadsheets, bond prospectuses, enrollment dashboards, and borrower accounts.

    The accuracy of these forecasts underscores a deeper truth: the crisis was foreseeable. It was documented. It was warned about. What was missing was the willingness to act.

    The Higher Education Inquirer published its predictions in 2016 not to provoke fear, but to provoke accountability. Nine years later, the record is clear. The meltdown was not an accident. It was a choice—made repeatedly, by institutions and policymakers who believed the system could absorb unlimited strain.

    It could not.

    Sources

    LendingTree; EducationData; Inside Higher Ed; Higher Ed Dive; Forbes; NPR; Brookings Institution; National Bureau of Economic Research (NBER)

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  • 49 predictions about edtech, innovation, and–yes–AI in 2026

    49 predictions about edtech, innovation, and–yes–AI in 2026

    As K-12 schools prepare for 2026, edtech and innovation are no longer driven by novelty–it’s driven by necessity. District leaders are navigating tighter budgets, shifting enrollment, rising cybersecurity threats, and an urgent demand for more personalized, future-ready learning.

    At the same time, AI, data analytics, and emerging classroom technologies are reshaping not only how students learn, but how educators teach, assess, and support every learner.

    The result is a defining moment for educational technology. From AI-powered tutoring and automated administrative workflows to immersive career-connected learning and expanded cybersecurity frameworks, 2026 is poised to mark a transition from experimental adoption to system-wide integration. The year ahead will test how effectively schools can balance innovation with equity, security with access, and automation with the irreplaceable role of human connection in education.

    Here’s what K-12 industry experts, stakeholders, and educators have to say about what 2026 will bring:

    AI becomes fully mainstream: With clearer guardrails and safety standards, AI will shift from pilot projects to a natural part of daily classroom experiences. AI tackles the biggest challenges: learning gaps and mental health: Chronic absenteeism, disengagement and widening readiness levels are creating urgent needs, and AI is one of the only tools that can scale support quickly. Hyper-personalized learning becomes standard: Students need tailored, real-time feedback more than ever, and AI will adapt instruction moment to moment based on individual readiness. AI tutoring expands without replacing teachers: Quick, focused bursts of AI-led practice and feedback can relieve overwhelmed teachers and give students support when they need it most. The novelty era of AI is over: In 2026, districts will prioritize solutions that measurably improve student outcomes, relevance and wellbeing, not just cool features.
    –Kris Astle, Education Expert and Manager of Learning and Adoption, SMART Technologies

    In 2026, workforce readiness will no longer be seen as someone else’s responsibility, but will become a collective mission. Schools, employers, families, and policymakers will increasingly work together to connect students’ strengths to real opportunities. Career and technical education (CTE) and industry certifications will move to the center of the conversation as districts rethink graduation requirements to prioritize alignment between student aptitudes and workforce demand. The goal will shift from ‘graduation’ to readiness. Students don’t lack ambition, they lack connection between what they’re good at and where those talents are needed. When education, industry, and community align, that connection becomes clear. The result? A generation that enters the world not just credentialed, but confident and capable.
    —Edson Barton, CEO & Co-Founder, YouScience

    As the number of edtech applications continues to surge across classrooms nationwide, teachers and administrators will need to become increasingly discerning consumers. The challenge for 2026 won’t be finding tools, it will be identifying which ones truly move the needle for teaching and learning. To maximize impact, district leaders should look for tools that demonstrate clear instructional value, support data-driven teaching, and extend what humans alone can accomplish. This includes intentionally selecting tools that embody strong learning science, effectively personalize the learning experience, empower teachers with meaningful data, and align tightly to instructional goals. If a tool doesn’t demonstrably provide purposeful practice to enhance student learning or make teachers’ work easier, it’s unlikely to earn a place in the modern classroom.
    –Dr. Carolyn Brown, Chief academic Officer & Co-Founder of Foundations in Learning, Creator of WordFlight

    In 2026, schools will continue to prioritize clear, consistent communication between families, students and staff. The expectations around what good communication looks like will rise significantly as communication modality preferences evolve and expand. Parents increasingly rely on digital tools to stay informed, and districts will feel growing pressure to ensure their online presence is not only accurate but intuitive, engaging, accessible and available in real time. New elements such as AI chatbots and GEO practices will shift from “nice-to-have” features to essential components of a modern school communication toolbox. These tools help families find answers quickly, reduce the burden on office staff and give schools a reliable, user-friendly way to reach every stakeholder with urgent updates or important news at a moment’s notice. Historically, digital methods of school-to-home communication have been overlooked or deprioritized in many districts. But as competition for students and teachers increases and family expectations continue to rise, schools will be forced to engage more intentionally through digital channels, which are often the only reliable way to reach families today. As a result, modernizing communications will become a core strategic priority rather than an operational afterthought.
    –Jim Calabrese, CEO, Finalsite

    Educator wellness programs will increasingly integrate with student well-being initiatives, creating a truly holistic school climate. Schools may roll out building-wide morning meditations, joint movement challenges, or shared mindfulness activities that engage both staff and students. By connecting teacher and student wellness, districts will foster healthier, more resilient communities while boosting engagement and morale across the school.
    —Niki Campbell, M.S., Founder/CEO, The Flourish Group

    In 2026, we will see more talk about the need for research and evidence to guide education decisions in K-12 education. Reports on student achievement continue to show that K-12 students are not where they need to be academically, while concerns about the impact of new technologies on student well-being are on the rise. Many in the education space are now asking what we can do differently to support student learning as AI solutions rapidly make their way into classrooms. Investing in research and development with a focus on understanding  teaching and learning in the age of AI will be vital to addressing current education issues.
    —Auditi Chakravarty, CEO, AERDF

    District leaders will harness school safety as a strategic advantage. In 2026, K-12 district leaders will increasingly see school safety as a key driver of their biggest goals–from increasing student achievement to keeping great teachers in the classroom. Safety will show up more naturally in everyday conversations with teachers, parents, and students, underscoring how a secure, supportive environment helps everyone do their best work. As districts point to the way safer campuses improve focus, attract strong educators, and build community trust, school safety will become a clear advantage that helps move the whole district forward.
    —Brent Cobb, CEO, CENTEGIX 

    Learning is no longer confined to a classroom, a schedule, or even a school building. New models are expanding what’s possible for students and prompting educators to reconsider the most effective strategies for learning. A key shift is asking students, “What is school doing for you?” Virtual and hybrid models provide students the space and time to reflect on this question, and these non-traditional approaches are expected to continue growing in 2026. Education is shifting from a focus on test-taking skills to an approach that helps students become well-rounded, self-directed learners who understand what motivates them and are better prepared for career readiness and long-term success. With that comes a need for a stronger emphasis on fostering independence. It’s equally important that students learn to build resilience themselves, and for parents and teachers to recognize that letting students stumble is part of helping them without life-altering consequences will support the best citizens of the future. Aligning education with these priorities is crucial to advancing learning for the next generation.
    –Dr. Cutler, Executive Director, Wisconsin Virtual Academy

    With reading skills continuing to lag, 2026 will be pivotal for improving K–12 literacy–especially for middle school students. Schools must double down on evidence-based strategies that foster engagement and achievement, such as targeted reading interventions that help students build confidence and reconnect with reading. We’ll likely see a strong push for tools like digital libraries and personalized reading programs to help learners gain ground before entering high school. Audiobooks and other accessible digital formats can play a key role in supporting comprehension and fluency, particularly when paired with interactive resources and educator guidance. Middle school remains a crucial stage for developing lifelong reading habits that extend beyond the classroom. The top priority will be closing learning gaps by cultivating meaningful, enjoyable reading experiences for students both in and out of school.
    –Renee Davenport, Vice President of North American Schools, OverDrive

    Virtual set design, which is popular in professional theaters and higher education institutions, is now making its way into K-12 theaters. It allows schools to use the technologies they are familiar with such as short-throw projection technology, and combine it with computer graphics, 3D modeling, real-time rendering, and projection mapping technologies to create visually-stunning sets that could not be created by building traditional sets. A great example of this is highlighted in this eSchool News’ article. Overall, virtual sets elevate theater productions at a fraction of the cost and time of building physical sets, and when students are involved in creating the virtual sets, they learn a variety of tech-related skills that will help them in future careers.
    –Remi Del Mar, Group Product Manager, Epson America, Inc.

    In 2026, more school districts will take deliberate steps to integrate career-connected learning into the K–12 experience. As the workforce continues to evolve, educators recognize that students need more than academic mastery – they need technical fluency, transferable skills, and the confidence to navigate unfamiliar challenges. Districts will increasingly turn to curricula that blend rigorous instruction with meaningful, hands-on experiences, helping students understand how what they learn in the classroom connects to real opportunities beyond it. In turn, we’ll see a growing emphasis on activity-, project-, and problem-based learning that promotes relevance, exploration, and purposeful engagement. This shift will also deepen partnerships between schools, local industries, and higher education to help ensure learning experiences reflect real workforce expectations and expose students to future pathways. By embedding these experiences into daily learning, schools can help students develop a strong foundation for lifelong learning and adaptability–redefining educational success to include readiness for life and work.
    –David Dimmett, President & CEO, Project Lead the Way

    AI will push America’s century-old education system to a breaking point. AI will make it impossible to ignore that our current education priorities are obsolete and, for millions, downright harmful. The root cause? Education’s very failed ‘success’ metrics. At long last, high-school math will get its day of reckoning, with growing calls for redirecting focus toward the ideas that matter, not micro-tidbits that adults never use and smartphones perform flawlessly. Society is in a technology revolution, but how we teach our youth hasn’t changed. Frustration is growing. Students are bored and disengaged. Parents are fearful for their children’s future. Career centers will soon become ghost towns as young people question the relevance of what and how they’re being prepared for the future. The schools that rebuild around problem-solving, reasoning, and genuine human creativity will thrive, while the rest stagnate in unavoidable debate about whether their model has any real-world value.
    —Ted Dintersmith, Founder, What School Could Be

    In 2026, I anticipate several meaningful shifts in early childhood education. First, with growing recognition of the academic, social-emotional, and physical benefits of outdoor learning, more schools will prioritize creating intentional outdoor learning environments. More than just recess time, this means bringing indoor activities outdoors, so children have the chance to not only learn in nature but about nature. Additionally, as we see expansion in early childhood programs across the nation, I expect a continued focus on play-based learning. Research indicates that is how children learn best, and while there is pressure for academics and rigor, early childhood educators know play can provide that very thing. Lastly, while it’s widely known that children use their senses to learn about the world around them, I see educators being more intentional about meeting the sensory needs of all learners in their classrooms. We’ll continue to see a quest to provide environments that truly differentiate to meet individual needs in an effort to help everyone learn in the way that works best for them.
    –Jennifer Fernandez, Education Strategist, School Specialty

    As district leaders look ahead to 2026, there is a widening gap between growing special ed referrals and limited resources. With referrals now reaching more than 15 percent of all U.S. public school students, schools are under increasing pressure to make high-stakes decisions with limited staff and resources. The challenge is no longer just volume–it’s accuracy. Too often, students–especially multilingual learners–are placed in special ed not because of disability, but because their learning needs are misunderstood. Ensuring that every student receives the right support begins with getting identification right from the start. The districts that will make the most progress in the new year will focus more on improving assessment quality, not speed. This means leveraging digital tools that ease the strain on special ed teachers and school psychologists, streamlining efficiency while keeping their expert judgment at the heart of support. When accuracy becomes the foundation of special ed decision-making, schools can reallocate resources where they’re needed most and ensure that every learner is understood, supported, and given the opportunity to thrive.
    —Dr. Katy Genseke, Psy.D., Director of Clinical Product Management, Riverside Insights

    In the coming year, we’ll see more districts formalize removing cell phone access in classrooms and during the school day, along with reducing passive screen time, as educators grapple with student disengagement and rising concerns about attention, learning, and well-being. This shift will spark a renewed emphasis on real-world, hands-on learning where students can physically explore scientific principles and understand where mathematical and scientific ideas come from. Schools will increasingly prioritize experiences that connect scientific concepts to the real world, helping students build curiosity and confidence in their science and math skills. Ultimately, these changes will result in learners seeing themselves in roles connected to these experiences, such as health sciences, bio tech, engineering, agricultural science, and many more, as a way to engage and prepare them for meaningful and in-demand postsecondary professions or further education.
    –Jill Hedrick, CEO, Vernier Science Education

    Across the country, I’m inspired by how many districts are embracing evidence-based literacy practices and seeking stronger alignment in their approach. At the same time, I see areas where teachers require more consistent training, tools, and support to implement these practices effectively. This moment presents a genuine opportunity for leaders to foster greater coherence and enhance implementation in meaningful ways. Looking toward 2026, my hope is that district leaders embrace a comprehensive, long-term vision for literacy and commit to true alignment across classrooms and grade levels. That means giving teachers the time, structure, and support required for effective implementation; leading with empathy as educators adopt new practices; and recognizing that real change doesn’t come from training alone but from ongoing coaching, collaboration, and commitment from leadership. National data make the urgency clear: reading gaps persist in the early grades and beyond, and too many students enter adolescence without the foundational literacy skills they need. It’s time to change the story by building teacher capacity, strengthening implementation, and ensuring every learner at every level in every classroom has access to high-quality, science-backed reading instruction.
    —Jeanne Jeup, CEO & Founder, IMSE

    If 2023-2025 were the “panic and pilot” years for AI in schools, 2026 will be the year habits harden. The policies, tools, and norms districts choose now will set the defaults for how a generation learns, works, and thinks with AI. The surprise: students use AI less to shortcut work and more to stretch their thinking. In 2023 the fear was simple: “Kids will use AI to cheat.” By the end of 2026, the bigger surprise will be how many students use AI to do more thinking, not less, in schools that teach them how. We already see students drafting on their own, then using AI for formative feedback aligned to the teacher’s rubric. They ask “Why is this a weak thesis?” or “How could I make this clearer?” instead of “Write this for me.” Where adults set clear expectations, AI becomes a studio, not a vending machine. Students write first, then ask AI to critique, explain, or suggest revisions. They compare suggestions to the rubric and explain how they used AI as part of the assignment, instead of hiding it. The technology didn’t change. The adult framing did.
    –Adeel Khan, CEO, MagicSchool

    School safety conversations will include more types of emergencies. In a 2025 School Safety Trends Report that analyzed 265,000+ alerts, 99 percent of alerts were for everyday emergencies, including medical incidents and behavioral issues, while only 1 percent involved campus-wide events, such as lockdowns. Effective school safety planning must include a variety of types of emergencies, not just the extreme. While most people think of lockdowns when they hear “school safety,” it’s critical that schools have plans in place for situations like seizures or cardiac arrest. In these scenarios, the right protocols and technology save lives–in fact, approximately 1 in 25 high schools have a sudden cardiac arrest incident each year. In 2026, I believe wearable panic buttons and technology that maps the locations of medical devices, like AEDs, will become the standard for responding to these incidents.
    —Jill Klausing, Teacher, School District of Lee County 

    One quarter of high seniors say they have no plans for the future, and that percentage will only grow. Educators, nonprofits, and policymakers must work to connect learning with real world skills and experiences because most kids don’t know where to start. DIY digital career exploration and navigation tools are dramatically shaping kids’ futures. High quality platforms that kids can access on their phones and mobile devices are exploding, showing options far beyond a college degree.
    –Julie Lammers, CEO, American Student Assistance

    A significant trend emerging for 2026 is the focus on evidence-based learning strategies that directly address cognitive load and instructional equity. For example, as districts implement the Science of Reading, it will become even more imperative for every student to audibly distinguish soft consonant sounds and phonemes. The hidden challenge is ambient classroom noise, which increases extraneous cognitive load, forcing students to expend unnecessary mental energy just trying to hear the lesson, and diverting their focus away from processing the actual content. Therefore, instructional audio must be treated as foundational infrastructure—as essential to learning as curriculum itself. By delivering the teacher’s voice to every student in the classroom, this technology minimizes the hearing hurdle, enabling all learners to fully engage their brains in the lesson and effectively close achievement gaps rooted in communication barriers.
    –Nathan Lang-Raad, VP of Business, Lightspeed

    AI-driven automation will help schools reclaim time and clarity from chaos: School districts will finally gain control over decades of ghost and redundant data, from student records to HR files through AI-powered content management. AI will simplify compliance, communication, and collaboration: By embedding AI tools directly into content systems, schools will streamline compliance tracking, improve data accuracy, and speed up communication between departments and families. Accessible, data-driven experiences will redefine engagement: Parents and students will expect school systems to deliver personalized, seamless experiences powered by clean, connected data.
    –Andy MacIsaac, Senior Strategic Solutions Manager for Education, Laserfiche

    In the K-12 sector, we are moving away from a ‘content delivery’ model, and toward what I call ‘The Augmented Educator.’ We know that AI and predictive algorithms are improving on the technical side of learning. They can analyze student performance data to spot micro-gaps in knowledge – like identifying that a student is struggling with calculus today because they missed a specific concept in geometry three years ago. That is predictive personalization, and it creates a perfect roadmap for what a student needs to learn. However, a roadmap is useless if the student isn’t fully on board. This is where human-connection becomes irreplaceable. AI cannot empathize with a frustrated 10-year-old. It cannot look a student in the eye and build the psychological safety required to fail and try again. The future of our industry isn’t about choosing between AI or humans; it’s about this specific synergy: Technology provides the diagnostic precision, but the human provides the emotional horsepower. I predict that the most successful tutors of the next decade will be ‘coaches’ first and ‘teachers’ second. They will use technology to handle curriculum planning, allowing them to focus 100 percent of their energy on motivation, pedagogy, and building confidence. That is the only way to keep K-12 students engaged in a digital-first world.
    —Gaspard Maldonado, Head of SEO, Superprof

    If there’s one thing we see every day in classrooms, it’s that students learn differently and at their own pace, which is why committing to personalized learning is the next big step in education. This means moving beyond the old “one-size-fits-all” model and finally embracing what we’ve always known about how learning actually works. Personalization gives students something incredibly powerful: a clear sense of their own learning journey. When the curriculum, instruction, and pacing are tailored to their strengths, interests, and needs, students have better clarity and allow them to engage with their education in a way that they wouldn’t be able to in other ways. And for teachers, this shift doesn’t have to mean more complexity. With the support of smarter tools, especially AI-driven insights, the administrative burden lightens, making space for what matters most: mentoring, connecting, and building meaningful relationships with students. But personalization isn’t just about improving academic outcomes. It’s about helping students grow into resilient, self-directed thinkers who understand how to navigate their own path. When we move from generalized instruction to student-centered learning, we take a real step toward ensuring that every student has the chance to thrive.
    –Lynna Martinez-Khalilian, Chief Academic Officer, Fusion Academy

    The conversation around AI in education won’t be about replacement, it will be about renaissance. The most forward-thinking schools will use AI to automate the mundane so teachers can focus on what only humans can do: connect, inspire, and challenge students to think critically and create boldly. The future belongs to those who can harness both computational power and human imagination.
    –Jason McKenna, VP of Global Educational Strategy, VEX Robotics

    Across sectors, educational ecosystems are rapidly evolving toward skills-focused, technology-enabled, models that prepare students for a dynamic future of work. Learners are using online platforms such as iCEV to access course work, create artifacts, and share their knowledge of the subject in a creative and improved manner. Platforms like this will be utilized by CTE teachers to assist learners in building technical competencies by implementing a variety of learning models.
    –Dr. Richard McPherson, Agricultural Science Teacher, Rio Rico High School in the Santa Cruz Valley Unified School District

    In 2026, districts will confront a widening gap between the growing number of students diagnosed with specialized needs and the limited pool of clinicians available to support them. Schools will continue to face budget constraints and rising demand, which will push the field toward greater consolidation and more strategic partnerships that expand access, especially in regions that have long lacked adequate services. The organizations that succeed will be those able to scale nationally while still delivering localized, student-first support. We expect to see more attention focused on the realities of special education needs: the increasing number of students who require services, the truly limited resources, and the essential investment required in high-quality, integrated support systems that improve outcomes and make a measurable difference in students’ lives.
    –Chris Miller, CEO, Point Quest Group

    The future of K-12 projectors lies in integrated, high-performance chipsets that embed a dedicated Small Language Model (SLM), transforming the device into an AI Instructor Assistant. This powerful, low-latency silicon supports native platforms like Apple TV while primarily enabling real-time, on-board AI functions. Instructors can use simple voice commands to ask the projector to perform complex tasks: running real-time AI searches and summarization, instantly generating contextual quizzes, and providing live transcription and translation for accessibility. Additionally, specialized AI handles automated tasks like instant image auto-correction and adaptive light adjustment for student eye health. This integration turns the projector into a responsive, autonomous edge computing device, simplifying workflows and delivering instant, AI-augmented lessons in the classroom. Epson makes a great ultra short throw product that is well suited for a chipset such as this in the future.
    –Nate Moore, Executive Director of Technology, Kearsley Community Schools

    I anticipate a renewed focus on the classroom technologies that most directly strengthen student engagement. In recent research, 81 percent of K–12 IT leaders reported that student engagement is their primary measure of success, and 91 percent expect interactive tools like interactive displays, classroom cameras, and headsets to increase classroom participation in the coming year. This signals a shift toward investing in tools that enable every student to see and be seen, and hear and be heard across all learning environments. Rather than investing in the next big trend, I believe districts will prioritize technologies that consistently help learners stay focused and engaged. The year ahead will be defined not by rapid experimentation, but by the thoughtful adoption of tools that make learning more immersive, inclusive, and meaningful.
    —Madeleine Mortimore, Global Education Innovation and Research Lead, Logitech

    Technology advancements will continue to accelerate in 2026 which will have a direct impact on teaching and learning. As schools seek out new and innovative ways to engage students and support deeper learning, I predict immersive technologies such as VR (virtual reality), XR (extended reality), and hybrid learning models which integrate traditional in-person teaching and online learning with VR experiences, will become more mainstream.
    –Ulysses Navarrete, Executive Director, Association of Latino Administrators and Superintendents (ALAS)

    In 2026, mathematics education will continue to shift toward teaching math the way the brain learns, prioritizing visual and meaningful context over rote memorization. By presenting concepts visually and embedding them in engaging, real-world context first, students can better understand the structure of problems, build reasoning skills, and develop confidence in their abilities. Districts that implement research-backed, neuroscience-informed approaches at scale will help students tackle increasingly complex challenges, develop critical thinking, and approach math with curiosity rather than anxiety—preparing them for a future where problem-solving and adaptive thinking are essential.
    –Nigel Nisbet, Vice President of Content Creation, MIND Education

    My prediction for 2026 is that as more people start to recognize the value of career and technical education (CTE), enrollment in CTE programs will increase, prompting schools to expand them. Technology will enhance curricula through tools such as virtual reality and artificial intelligence, while partnerships with industry will provide students with essential, real-world experiences. Moreover, there will be a greater emphasis on both technical and soft skills, ensuring graduates are well-prepared for the workforce.
    –Patti O’Maley, Vice Principal & CTE Coordinator, Payette River Tech Academy & Recently Profiled in Building High-Impact CTE Centers: Lessons from District Leaders

    In 2026, schools are poised to shift from using AI mainly as a time saver to using it as a genuine driver of better teaching and learning. Educators will still value tools that streamline tasks, but the real momentum will come from applications that sharpen instructional practice and strengthen coaching conversations. Observation Copilot is already giving a glimpse of this future. It has changed the way I conduct classroom observations by capturing evidence with clarity and aligning feedback to both district and state evaluation frameworks. As tools like this continue to evolve, the focus will move toward deeper instructional insight, more precise feedback, and richer professional growth for teachers.
    –Brent Perdue, Principal, Jefferson Elementary School in Spokane Public Schools

    The upper grades intervention crisis demands action. Most science of reading policies focus on K-3, but the recent NAEP scores showing historically low literacy among graduating seniors signal where policy will move next. States like Virginia are already expanding requirements to serve older students, and I expect this to be a major legislative focus in 2026. The pandemic-impacted students are now in seventh grade and still struggling. We can’t ignore them any longer.
    –Juliette Reid, Director of Market Research, Reading Horizons

    High schools and career and technical education (CTE) centers are increasingly seeking out opportunities to provide immersive, hands-on experiences that prepare students for the workforce. In 2026, we will see a surge in demand for virtual and augmented reality (VR/AR) tools to fill this need. VR/AR experiences promote deeper understanding, better knowledge retention and faster skills acquisition, giving students a realistic way to experience different careers, understand job expectations, and learn transferable skills like communication and teamwork. Whether it’s by letting students virtually step into the role of a nurse, welder, or chef; or enabling them to participate in a VR simulated job interview, VR/AR helps students build knowledge, skills and confidence as they explore career paths and it will be a critical technology for workforce development in 2026 and beyond.
    –Gillian Rhodes, Chief Marketing Officer, Avantis Education, Creators of ClassVR

    In 2026, expect growing urgency around middle school literacy. The students who were in K–3 during the pandemic are now in middle school, and many still haven’t caught up–only 30 percent of eighth graders are reading proficiently, with no state showing gains since 2022. While there is a myth that students transition from learning to read to reading to learn after third grade, the reality is that many older students need ongoing reading support as they take on more complex texts. Years of testing pressure, fragmented time for reading instruction, and limited focus on adolescent literacy have left students underprepared for complex, content-rich texts. In 2026, expect more states and districts to invest in systemic literacy supports that extend beyond elementary school: embedding reading across subjects, rethinking instructional time, and rebuilding students’ stamina and confidence to tackle challenging material. The middle school reading crisis is as much about mindset as mechanics – and solving it will require both.
    —Julie Richardson, Principal Content Designer for Literacy, NWEA

    In 2026, I expect AI in education to shift from novelty to essential infrastructure, provided we keep human involvement and student safety at the center. Across districts we’ve worked with, we consistently see that the  real value of AI is not just in creating faster workflows, but in providing students and teachers with personalized support to result in more effective teaching and learning outcomes. Research and pilot programs show the strongest gains when AI augments human teaching, offering individualized feedback and tailored practice while educators focus on higher-order instruction and student connection. As adoption accelerates, the work ahead is less about whether to use AI and more about building systems that ensure it’s safe, equitable, and pedagogically sound. Beyond just product development,  means districts will need AI strategies that center governance, privacy protections, and investing in professional development so educators have the tools and confidence they need to use AI responsibly.
    —Sara Romero-Heaps, Chief Operating Officer, SchoolAI

    In 2026, K–12 education will reach a critical moment as students navigate an increasingly complex, AI-enabled world. The widening gap between the skills students develop in school and the demands of tomorrow’s workforce will draw growing attention, underscoring the need for Decision Education in classrooms nationwide. Students, parents, teachers, and education leaders are all experiencing uncertainty about the future. Schools and districts will need to integrate Decision Education more systematically so students build the dispositions and skills to make informed choices about their learning, careers, and lives. Strengthening decision-making skills gives students greater agency and helps them navigate uncertainty more effectively. Education leaders who prioritize practical approaches to closing this skills gap will be best positioned to help students thrive in a rapidly changing world.
    –David Samuelson, Executive Director, Alliance for Decision Education

    I believe 2026 will be defined by the power of local communities stepping up. We’ll see grassroots networks of educators, families, and community organizations building new models of support at the city, state, and regional levels. There will be even greater local reliance on family engagement organizations and public-private partnerships ensuring no learner gets left behind. The resilience and creativity of local communities will be education’s greatest strength in the year ahead.
    —Julia Shatilo, Senior Director, SXSW EDU

    Chronic absenteeism hasn’t eased as districts hoped–it’s proving sticky. At the same time, families are exploring and normalizing hybrid and home learning models. These two patterns may share roots in flexibility, agency, and the search for alignment between how students learn and how schools operate. Taken together, they suggest ​​significant changes in how families relate to school. In response, we’ll likely see districts and states focus on earlier, more flexible outreach and clearer visibility into alternative learning pathways–not sweeping reform, but steady adjustments aimed at keeping students connected, however and wherever learning happens.
    —Dr. Joy Smithson, Data Science Manager, SchoolStatus

    The goal for literacy remains the same: Every child deserves to become a capable, confident reader. But our understanding has deepened, and this will shape conversations and best practices ahead. Too often, we’ve examined each dimension of literacy in isolation–studying how children decode words without considering how teachers learn to teach those skills; creating research-backed interventions without addressing how schools can implement them with integrity; and celebrating individual student breakthroughs while overlooking systemic changes needed for ALL students to succeed. We now recognize that achieving literacy goals requires more than good intentions or strong programs. It demands clarity about what to teach, how to teach, how students learn, and how schools sustain success. The future of literacy isn’t about choosing sides between competing approaches, but about understanding how multiple sciences and disciplines can work together through an interdependent, systems-thinking approach to create transformative change. We must strengthen pathways into the profession, provide high-quality teacher preparation programs, support strong leadership, and focus on effective implementation that facilitates high-impact instruction at scale. These aren’t technical challenges but human ones that require solutions that emerge when multiple sciences and systems-thinking converge to drive lasting literacy change–and educational change more broadly.
    –Laura Stewart, Chief Academic Officer, 95 Percent Group

    In 2026, K-12 leaders are done tolerating fragmented data. Budgets are tightening, every dollar is under a microscope, and districts can’t keep making uninformed decisions while insights sit scattered across disconnected systems. When 80 percent of spending goes to people and programs, guesswork isn’t an option. This is the year districts flip the script. Leaders will want all their insights in one place–financial, staffing, and student data together–eliminating silos that obscure the ROI of their initiatives. Centralized visibility will be essential for confident decision-making, enabling districts to spot ineffective spending, remove redundant technology, and strategically redirect resources to interventions that demonstrably improve student outcomes.
    –James Stoffer, CEO, Abre

    America’s 250th anniversary this year will offer an opportunity to connect students with history and civic learning in more interactive and engaging ways. Educators will increasingly rely on approaches that help students explore the stories behind our nation’s landmarks, engage with historical events, and develop a deeper understanding of civic life. By creating hands-on and immersive learning experiences–both in-person and virtually–schools can help students build connections to history and foster the skills and curiosity that support informed citizenship.
    –Catherine Townsend, President & CEO, Trust for the National Mall

    In 2026, AI will move beyond static personalization to create truly adaptive learning paths that adjust in real time. We’ll see systems that can read engagement, emotional tone, and comprehension using signals like voice cues, interaction data, or optional camera-enabled insights. These systems will then adjust difficulty, modality, and pacing in response. The result will be the early stages of a personal tutor experience at scale, where learning feels less like a fixed curriculum and more like a responsive conversation that evolves with the learner. We are going to increasingly see the exploration of immersive learning, and how we can use VR or XR to create tailored experiences to meet specific learning goals. The real potential comes from immersive learning which is backed by learning science and has clear pedagogical patterns: brief, targeted activities that reinforce concepts, whether through gamified exploration or realistic skill-building. The market will mature into offering both creative conceptual journeys and hands-on practice, making immersive learning a strategy for deepening understanding and building real-world skills.
    —Dave Treat, Global CTO, Pearson

    In 2026, edtech will move decisively beyond digital worksheets toward tools that truly enrich the teaching experience. Educators will increasingly expect platforms that integrate curriculum, pedagogy, and professional learning–supporting them in real time, not adding to their workload. With AI and better learning design, edtech will help teachers focus more on student inquiry and collaboration, igniting deeper learning rather than just digitizing old practices.
    —Chris Walsh, Chief Technology & Product Officer, PBLWorks

    This year, a major pivot point will be how schools choose to allocate funding—toward emerging AI programs like ChatGPT’s education initiatives or toward hands-on materials and science equipment that ground learning in the physical world. Determining how we leverage edtech and AI without sacrificing teacher expertise, nuance, or the human connection that makes classrooms thrive will be especially important.
    –Nick Watkins, Science Teacher, Franklin Pierce School District & Vernier Trendsetters Community Member

    In 2026, independent schools will continue to navigate a period of momentum, with many experiencing rising applications and stronger retention. At the same time, leaders will face ongoing challenges: managing tighter staffing ratios, rising operational costs, and the growing gap between financial aid need and available resources; schools that prioritize strategic and nimble framing of the school’s future, innovative partnerships and programs, and intentional community engagement will be best positioned to support their students and families effectively. Independent schools will also face new opportunities and challenges that come from external forces such as the expansion of school choice and the growth of artificial intelligence. Their overall focus will continue to be on creating sustainable, student-centered environments that balance academic excellence and engagement with social-emotional care and access, ensuring independent schools remain resilient, inclusive, and impactful in a rapidly evolving educational landscape.
    –Debra P. Wilson, President, National Association of Independent Schools

    In 2026, technological advancements will continue to transform test preparation, making learning more accessible, personalized, and efficient. AI, adaptive learning, and optimized UI/UX will enable students to focus on mastering content rather than managing resources or navigating cognitive overload. These tools allow learners to target areas of improvement with precision, creating study experiences tailored to individual strengths, weaknesses, and learning styles. AI will play an increasingly central role in personalizing education, such as smarter study plans that adapt in real time, instant explanations that accelerate comprehension, and 24/7 AI tutoring that provides continuous support outside the classroom. As these technologies evolve, test prep will shift from a one-size-fits-all approach to highly customized learning journeys, enabling students to optimize their preparation and achieve measurable outcomes more efficiently. The next wave of AI-driven tools will not just assist learning, they will redefine it, empowering students to engage more deeply and achieve higher results with greater confidence.
    –Scott Woodbury-Stewart, Founder & CEO, Target Test Prep

    Edtech is advancing at an extremely rapid pace, driven by the proliferation of AI and immersive tools. In the next year, there will be leaps in how these technologies are integrated into personalized learning pathways. Specifically, schools will be able to utilize technology to make education much smarter and more personalized via AI, and more immersive and experiential via augmented and virtual reality. Additionally, the integration of gamification and true learning science is likely to broaden the ways students will engage with complex material. With these advancements, educators can expect the emergence of holistic and integrated ecosystems that go beyond just teaching academic content to ones that monitor and support mental health and well-being, build work-applicable skills, offer college and career guidance, develop peer communities, and follow students throughout their academic careers.
    –Dr. A. Jordan Wright, Chief Clinical Officer, Parallel Learning

    In 2026, meaningful progress in math education will depend less on chasing the next new idea and more on implementing proven instructional practices with consistency and coherence. Schools and districts will need to move beyond fragmented reforms and align leadership, curriculum, and instruction around a shared vision of high‑quality math learning. This includes cultivating strong math identity for learners and educators, balancing conceptual understanding with procedural fluency, and ensuring learning builds logically and cumulatively over time. When systems commit to these evidence‑based principles and support teachers with aligned professional learning, the conditions are set for sustained improvements in student math outcomes nationwide.
    –Beth Zhang, Co‑President of Lavinia Group, K12 Coalition

    Laura Ascione
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  • The Year of the AI Agent in Higher Education

    The Year of the AI Agent in Higher Education

    Reading Time: 15 minutes

    Higher education is entering a new era defined by proactive, intelligent digital helpers. Tech leaders such as Marc Benioff and Sam Altman have described 2025 as a pivotal year for AI agents, as colleges shift from basic chatbots to more advanced, autonomous AI systems. AI agents are not just tools; they are digital partners designed to support the entire student lifecycle.

    AI agents are transforming how colleges recruit, support, and engage learners. Unlike static chatbots, these systems analyze context, adapt over time, and take initiative. Their capabilities include automating application nudges, answering complex questions, and supporting academic success. This marks a major technological leap for institutions aiming to do more with fewer resources.

    In this article, we’ll define what AI agents are, explain how they differ from traditional digital assistants, and explore the growing role of agentic AI in higher education. We’ll also highlight practical benefits and examine why 2025 is a turning point for adoption.

    Are you prepared for the next evolution of enrollment and student support?

    What Is an AI Agent in Higher Education?

    In higher education, an AI agent is a software-based digital colleague designed to carry out tasks and make decisions autonomously, much like a human team member. Unlike traditional rule-based chatbots or static analytics dashboards, AI agents are dynamic, context-aware, and capable of proactive engagement. They anticipate needs, analyze data, and take meaningful action without waiting for human prompts.

    Key Capabilities of AI Agents in Higher Ed:

    • Real-Time Data Analysis: AI agents continuously ingest data from various systems, such as student information systems (SIS), learning management systems (LMS), and CRMs, and analyze it instantly. For example, if a student hasn’t logged into their course portal in over a week, the agent can flag this as a concern before a human staff member might even notice.
    • Complex Reasoning: While a basic chatbot might reply, “You missed your payment deadline,” an AI agent can infer that the student might be facing financial hardship. It reasons through that context and may recommend financial aid outreach or support services.
    • Proactive Action: Rather than waiting for a student to reach out, an AI agent can send reminders, book appointments, or trigger alerts based on predefined conditions and patterns it observes. This proactive behavior is one of the defining features that separates agents from other digital tools.
    • Human Collaboration: AI agents are not replacements for staff but digital teammates. They handle repetitive and data-heavy tasks, freeing up staff to focus on complex, high-touch interactions like one-on-one advising or sensitive student concerns.

    Imagine a first-year student named Alex who begins missing classes and deadlines. An AI agent, let’s call it “Corey,” detects these signs, reviews Alex’s recent activity, and notices additional indicators such as a missed financial aid deadline and a recent visit to the counseling center. Corey logs this information and acts.

    Corey sends Alex a supportive message suggesting tutoring and financial aid options, recommends an advising appointment, and even books a time. It also notifies the academic advisor and shares a detailed context summary, ensuring a more informed, empathetic meeting. Behind the scenes, the agent identifies other at-risk students based on similar patterns and launches personalized interventions.

    This example illustrates the power of agentic AI in higher education in managing complex student workflows with speed, precision, and care. From recruitment and enrollment to retention and autonomous student support, AI agents are redefining digital service delivery across higher education.

    AI Agents vs. Chatbots: How Are They Different?

    As colleges explore digital tools to improve student support and enrollment outcomes, it’s critical to understand the difference between AI agents and traditional chatbots. While the two terms are sometimes used interchangeably, their capabilities and strategic value are markedly different.

    Reactive vs. Proactive

    Chatbots are reactive tools. They wait for a student to initiate a question and respond with a scripted answer, often drawn from an FAQ database. Their usefulness is limited to straightforward interactions like, “What’s the application deadline?” AI agents, by contrast, are proactive. 

    They can detect when something needs attention, such as a missing transcript or a disengaged student, and initiate outreach or action without being prompted.

    Scripted Responses vs. Intelligent Actions

    Chatbots operate within a narrow script. If a question falls outside their programmed flow, they may fail to respond meaningfully. AI agents go further. They are autonomous systems capable of analyzing context, making decisions, and completing tasks. 

    For example, if a student asks about uploading a transcript, a chatbot might share a link. An AI agent would identify the missing document, send a personalized reminder, check for completion, and escalate if necessary, driving the outcome rather than just responding.

    Single-Channel vs. Omnichannel Engagement

    Chatbots often live on a single webpage and lack memory of past conversations. AI agents work across platforms, web chat, SMS, email, and student portals, and retain context across all interactions. They recognize students, recall prior discussions, and tailor communications accordingly, enabling more seamless and personalized support.

    FAQ Support vs. Lifecycle Engagement

    Chatbots help with quick answers, but AI agents support multi-step processes and lifecycle touchpoints. In admissions, for instance, a chatbot might handle inquiries, but an AI agent can follow up on incomplete applications, suggest resources, and nurture leads through enrollment. In student services, chatbots may share library hours, while AI agents detect academic disengagement and initiate support outreach.

    In short, chatbots answer questions. AI agents drive outcomes. As one expert noted, chatbots are like automated help desks, while AI agents function as full digital assistants embedded in institutional workflows. In an era of rising service expectations and limited staff capacity, this distinction matters more than ever. Institutions that embrace AI agents gain a powerful ally in delivering timely, personalized, and outcome-driven student experiences.

    How Do AI Agents Benefit Colleges and Students?

    The excitement around AI agents in higher education isn’t just about cool technology. It’s about solving real problems and creating tangible improvements for both institutions and learners. Here are some of the major benefits AI agents offer:

    1. Enhanced Student Support: Personalized, Timely, 24/7

    AI agents provide around-the-clock assistance, giving every student a digital personal assistant. Whether it’s midnight before an assignment is due or a weekend deadline looms, students can get timely help. More importantly, the support becomes proactive. For example, Georgia State University’s “Pounce” chatbot texts reminders to new students about critical steps like completing financial aid. 

    The result? Summer loss dropped from 19% to 9%, meaning hundreds more students showed up in the fall. Multiple surveys indicate that a significant share of students feel AI-powered tools help them learn more effectively, often citing faster access to personalized support.

    2. Increased Efficiency and Staff Augmentation

    AI agents act as force multipliers for campus teams. They handle thousands of repetitive inquiries, freeing staff for high-value work. Maryville University’s AI assistant “Max” answers thousands of student questions each month, resolving the majority without the need for human intervention.

    Some institutions report up to 75% time savings on routine tasks. Agents send deadline reminders, track document submissions, and streamline follow-ups. This eases staff workload and ensures faster responses for students.

    3. Improved Outcomes (Enrollment, Retention, and Success)

    AI agents improve key metrics. Integrated AI systems have been linked to measurable gains in student engagement and retention, particularly when used to support proactive outreach and early intervention.

    At Bethel University, a chatbot named “Riley” helps identify and guide prospective students to relevant resources, reducing the risk of drop-off. Since every 1% yield increase can represent hundreds of thousands in tuition revenue, tools that drive application completion and enrollment are essential.

    4. Consistency, Accuracy, and Scalability

    AI agents help deliver more consistent and accurate information across student-facing touchpoints. Unlike human staff who may interpret rules differently, agents follow uniform protocols. They scale effortlessly during peak periods. 

    When the University of Pretoria launched its chatbot, it handled 30,000+ queries in just months, easing pressure on staff and speeding up student responses. In crises or transitions, agents can quickly disseminate accurate updates to thousands.

    5. More Engaging and Proactive Student Experience

    AI agents make engagement feel more personalized. They nudge students with reminders and timely suggestions, reducing anxiety. For instance, an agent might prompt early tutoring or check in on disengaged students. 

    Nearly 48% of students report that chatbots improve their academic performance. For routine questions, many prefer AI over navigating office bureaucracy.

    6. Addressing Staff Challenges and Burnout

    With high student-to-staff ratios, burnout is common. AI agents ease this by managing low-level tasks, allowing staff to focus on complex support. Georgia Tech’s AI teaching assistant “Jill Watson” answered student questions so effectively that many didn’t realize she wasn’t human. The result was higher satisfaction and improved grades. Faculty benefit from fewer repetitive queries and more time for meaningful instruction.

    7. Data-Driven Decision Making

    AI agents generate actionable insights. For example, if hundreds of students ask how to change majors, administrators might simplify that process. Rising mental health-related queries might justify expanding counseling services. These agents serve students individually and help institutions see patterns and improve policies.

    AI agents are not about replacing human support. Instead, they enhance it. They handle scale, speed, and consistency, while humans deliver empathy, strategy, and complex care. In the ideal model, AI handles the routine so people can focus on relationships, creating a stronger, more responsive higher education experience for all.

    Why 2025 Is Called “The Year of the AI Agent”

    AI in higher education is not new. Predictive analytics, early chatbots, and automated workflows have existed on campuses for years. So Why is 2025 considered the “Year of the AI Agent”?

    The answer lies in a rare convergence of technological maturity, institutional urgency, and cultural readiness. Together, these forces have pushed AI agents out of experimentation and into real, scalable deployment across higher education.

    From Generative AI Hype to Agentic Execution

    The last few years have delivered dramatic advances in generative AI, particularly large language models capable of human-like reasoning and communication. By late 2024, however, many institutions were still grappling with a familiar challenge: impressive technology without clear operational value.

    That changed as agentic AI frameworks emerged. Unlike standalone chatbots, AI agents can reason across systems, make decisions, and take action autonomously. By 2025, the standards, tooling, and governance models needed to deploy these agents had largely solidified. Technology leaders across industries began openly describing 2025 as the moment when AI moves from novelty to infrastructure, and higher education followed suit.

    A Shift From Reactive to Proactive Campus Systems

    Perhaps the most profound change is philosophical. Traditional campus technologies are reactive: staff respond to dashboards, alerts, or student inquiries after problems arise. AI agents invert that model.

    In 2025, institutions are deploying systems that continuously monitor behavior, detect risk signals, and intervene before issues escalate. Instead of waiting for a student to ask for help, AI agents can proactively reach out with reminders, resources, or guidance. This shift, from responding to problems to preventing them, marks a fundamental evolution in how universities support students.

    A Mature Ecosystem Ready for Scale

    Another reason 2025 stands out is ecosystem readiness. Major CRM and LMS platforms now support AI agent integrations, while many universities have already launched institution-wide AI environments that allow teams to build custom tools safely and responsibly.

    Equally important, AI literacy has improved dramatically. Faculty, administrators, and students now have a shared baseline understanding of AI, reducing resistance and accelerating adoption. The organizational “soil,” in other words, is finally fertile.

    Urgency in a Challenging Higher Ed Landscape

    The broader context cannot be ignored. Enrollment pressure, budget constraints, staffing shortages, and growing student support needs have created an acute demand for scalable solutions. AI agents offer a compelling return on investment: automating routine tasks, extending staff capacity, and directly supporting recruitment, retention, and student success.

    Early results have reinforced this case, demonstrating that modest investments can yield outsized operational and experiential gains.

    Momentum and Institutional Confidence

    Finally, momentum matters. As respected associations, peer institutions, and sector leaders publicly endorse AI adoption, hesitation gives way to action. The conversation has shifted decisively, from “Should we use AI?” to “How do we implement it effectively and responsibly?”

    Taken together, these forces explain why 2025 feels different. This is the year of AI execution in higher education. Agentic AI has moved from concept to practice, and institutions embracing it now are redefining what responsive, student-centered operations look like in the modern university.

    Real-World Examples of AI Agents in Higher Ed

    University of Toronto (Canada): U of T is integrating AI agents into autonomous student support and advising. A university-wide task force recommended deploying AI tools in these areas, and a pilot program is underway for a course-specific AI chatbot that lives on course websites. This “virtual tutor” agent can answer students’ questions about class materials and guide them through content.

    Unlike public chatbots, U of T’s version runs on a secure platform with course-specific knowledge, protecting instructors’ content and student privacy. If successful, the AI tutor will be rolled out across the institution to enhance how students receive academic help outside of class.

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    Source: University of Toronto

    Arizona State University (USA): ASU has implemented AI-powered digital assistants – including a voice-activated campus chatbot through Amazon’s Alexa. In a first-of-its-kind program, ASU provided Echo Dot smart speakers to students in a high-tech dorm and launched an “ASU” Alexa skill that anyone can use to get campus information.

    Students can ask the voice assistant about dining hall menus, library hours, campus events, and more. This AI agent offers on-demand answers via natural conversation, extending student engagement and support to a hands-free, 24/7 format.

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    Source: Arizona State University

    University of British Columbia (Canada): UBC is leveraging AI agents to enhance advising and student services. For example, the Faculty of Science piloted “AskCali,” an AI academic advising assistant that uses generative AI to answer students’ questions about course requirements and program planning at any time of day.

    AskCali draws on UBC’s academic calendar and official documents to provide accurate, personalized guidance, helping students navigate complex requirements. UBC’s Okanagan campus has also deployed chatbots for departments like IT help and student services, reportedly handling the vast majority of routine inquiries and dramatically reducing wait times.

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    Source: University of British Columbia

    University of Michigan (USA): U–M has rolled out AI-driven assistants to support students in academics and campus life. Notably, the College of Literature, Science, and Arts introduced “LSA Maizey,” a 24/7 AI advising chatbot described as a “smart sidekick for college life.” Maizey answers questions about degree requirements, academic policies, registration, study strategies, and more – anytime, day or night. It provides links to official information and helps students find advising info outside of business hours.

    This AI agent augments U–M’s human advisors by handling common queries and pointing students to the right resources instantly. (U–M has also developed a campus-wide assistant called “MiMaizey” for general questions like dining, events, and wayfinding, further personalizing the student experience)

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    Source: University of Michigan

    Harvard University (USA): Harvard is experimenting with autonomous AI tutors and assistants to improve learning and advising. In one pilot, Harvard faculty built a custom AI “tutor bot” for an introductory science course that allows students to get immediate help with difficult concepts outside of class.

    Students could ask this bot unlimited questions at their own pace, without fear of judgment, and a study found it improved engagement and motivation in the course. Harvard’s IT department has also launched AI chat assistants (nicknamed “HUbot” and “PingPong”) to aid students with tech or academic questions, and Harvard Business School tested an AI teaching assistant in a finance course.

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    Source: Harvard University

    Stanford University (USA): Stanford has been a leader in using AI agents to support students academically. One example is a Stanford-developed AI system that monitors online learning platforms to detect when a student is struggling. Researchers created a machine-learning agent that predicts when a student will start “wheel-spinning” (getting stuck repeatedly on practice problems) and recommends targeted interventions to help the student overcome the obstacle.

    Essentially, the AI acts like an autonomous tutor/coach in self-paced digital courses, flagging at-risk students and suggesting that instructors or the system intervene (for example, by reviewing an earlier concept). Beyond this, Stanford has trialed AI chatbots as virtual TAs in large classes (answering common questions on course forums) and used data-driven AI models to alert advisors about students who may need support.

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    Source: Stanford University

    University of Sydney (Australia): The University of Sydney developed “Cogniti,” an AI platform that serves as an “AI stunt double” for instructors, essentially allowing teachers to clone their expertise into custom AI agents for their courses. More than 800 Sydney faculty are already using Cogniti to support their teaching.

    These AI agents (designed by the educators themselves) can answer student questions, provide instant feedback on practice exercises, and offer guidance 24/7, in alignment with the instructor’s curriculum and guidelines.

    For example, a speech pathology class uses a Cogniti bot that role-plays as a patient’s parent to help students practice clinical conversations. Cogniti won a national award for innovation, and it’s given students at Sydney access to personalized help at all hours – while letting instructors remain in control of the AI’s scope and knowledge.

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    Source: University of Sydney

    Deakin University (Australia): Deakin Genie is a pioneering digital assistant that has been serving Deakin students since late 2018. Branded as a “digital concierge,” Genie lives in the Deakin University mobile app and uses AI (natural-language processing with voice and text) to help students navigate university life. It can answer thousands of common questions (“When is my assignment due?”, “Where is the library?”), manage personal schedules and reminders, and even proactively prompt students to study or register for classes.

    Genie’s rollout was phased; it started with pilot groups and went university-wide in 2018. Within the first year, its user base more than doubled, reaching over 25,000 student downloads by 2019. At peak times (such as the start of term), Genie handles up to 12,000 conversations per day, a volume equivalent to Deakin’s call center traffic. Top queries center on first-year needs: class timetables, assignment details, finding unit (course) resources, and key dates. The Genie team closely monitors performance and tracks whether Genie’s answers resolve the question or if a human staff follow-up is needed, continually updating Genie’s knowledge base and dialog flow. 

    This iterative improvement has paid off in high student satisfaction; many students treat Genie like a supportive “friend” always on hand. Genie is also context-aware: it knows who the student is (program, year, campus) and personalizes responses (“Your next class is…”, “Your assignment 2 is due next Monday”).

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    Source: Deakin University

    Humans + AI Agents: A New Collaborative Workforce

    As AI agents gain traction across higher education, one point deserves emphasis: their value lies not in replacing people, but in working alongside them. The most successful institutions view AI agents as tools that extend human capacity rather than diminish it. 

    The goal is a blended workforce in which routine, data-heavy tasks are automated, freeing faculty and staff to focus on what humans do best: empathy, judgment, creativity, and mentorship.

    In practice, this collaboration is already taking shape across campus operations. Admissions offices are using AI agents to track application completeness and communicate with prospective students, while human counselors retain responsibility for final decisions and nuanced conversations. 

    Advising teams rely on agents to monitor engagement data and flag potential risks, but the advising itself remains a human-centered interaction and is strengthened by better insight and preparation rather than automated away.

    This shift also requires a cultural adjustment. Institutions leading the way are investing in AI literacy and professional development to help staff understand how these tools work and how they can be applied responsibly. When employees are empowered to experiment and contribute ideas, AI adoption becomes collaborative rather than imposed, encouraging innovation from the ground up.

    From Experimentation to Organizational Advantage

    Human oversight remains essential to responsible AI deployment. AI agents operate most effectively within clear governance frameworks that prioritize data privacy, institutional policy alignment, and human oversight. For high-impact decisions, such as academic standing, financial aid determinations, or student well-being, humans stay firmly in the loop. The agent may analyze data or draft recommendations, but people make the final call.

    Importantly, AI agents can actually strengthen the human touch. By helping staff prioritize outreach and monitor large student populations, they reduce the likelihood that students fall through the cracks. The result is a campus environment that is more responsive, more personalized, and ultimately more humane, where technology supports, rather than replaces, meaningful human connection.

    Are you prepared for the next evolution of enrollment and student support?

    Frequently Asked Questions

    Question: What is an AI agent in higher education? 

    Answer: In higher education, an AI agent is a software-based digital colleague designed to carry out tasks and make decisions autonomously, much like a human team member. Unlike traditional rule-based chatbots or static analytics dashboards, AI agents are dynamic, context-aware, and capable of proactive engagement. They anticipate needs, analyze data, and take meaningful action without waiting for human prompts.

    Question: How do AI agents benefit colleges and students?

    Answer:  The excitement around AI agents in higher education isn’t just about cool technology. It’s about solving real problems and creating tangible improvements for both institutions and learners. Here are some of the major benefits AI agents offer:

    Question: Why is 2025 considered the “Year of the AI Agent”?

    Answer: The answer lies in a rare convergence of technological maturity, institutional urgency, and cultural readiness. Together, these forces have pushed AI agents out of experimentation and into real, scalable deployment across higher education.

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  • What happens after the U.S. Department of Education is dissolved?

    What happens after the U.S. Department of Education is dissolved?

    eSchool News is counting down the 10 most-read stories of 2025. Story #1 focuses on the Trump Administration’s goal of dismantling the U.S. Department of Education.

    Key points:

    In light of Donald Trump assuming a second presidential term in 2025, conversations concerning dismantling the United States Department of Education have resurfaced. Supporters argue that federal involvement in education undermines state authority, while critics fear that removing the federal role could exacerbate inequities and hinder national progress. To evaluate the proposal, it is crucial to examine the federal and state roles in education, the historical and constitutional context, and the potential benefits and challenges of such a shift.

    The federal role in education

    The United States Constitution does not explicitly grant the federal government authority over education. As Lunenberg et al. (2012) noted, “Education is not a function specifically delegated to the federal government” (p. 327). Instead, under the Tenth Amendment, powers not delegated to the federal government are reserved for the states (McCarthy et al., 2019). This leaves education primarily under state jurisdiction, with federal involvement historically limited to indirect support rather than direct control.

    The United States Department of Education was established in 1979. It is responsible for overseeing federal funding for schools, enforcing federal laws in education, and ensuring equal access for students across the country.  Furthermore, it has played a significant role through legislation such as the Elementary and Secondary Education Act (ESEA) and its successors: NCLB (No Child Left Behind) and ESSA (the Every Student Succeeds Act). These laws link federal funding to specific requirements, which aim to address inequities in education. Currently, federal contributions account for approximately 8 percent of funding for elementary and secondary education, with the remaining 92 percent coming from state and local sources (“The Federal Role,” 2017).

    The role of state and local control in education

    Education policy and administration have traditionally been state functions. States determine funding formulas, establish teacher certification requirements, and oversee curricula through their departments and boards of education (Lynch, 2016). Governors and state legislatures allocate funds, which are often distributed to schools based on enrollment, need, or specific programs (Lunenberg et al., 2012).

    Local school boards also play a critical role, managing day-to-day operations and responding to community needs. This decentralized structure reflects a longstanding belief that local authorities are better positioned to address the diverse needs of their communities. However, it has also led to significant disparities between states and districts in terms of funding, resources, and student outcomes.

    Dismantling the United States Department of Education 

    One of the most compelling arguments for dismantling the United States Department of Education lies in the principle of localized control. Critics argue that education is best managed by state and local governments because they are closer to the specific needs of their communities. Localized governance could allow schools to tailor their policies, curriculum, and resource allocation in ways that best fit the unique demographics of their regions. For example, schools in rural areas may have vastly different needs than those in urban centers, which is why local authorities are likely better equipped to address these disparities without the interference of federal oversight.

    The concern extends beyond general education. The Individuals with Disabilities Education Act (IDEA), which is enforced by the United States Department of Education, mandates that students with disabilities receive free and appropriate public education (FAPE) along with necessary services and accommodations. Similarly, the department oversees federal programs that support English Language Learner (ELL) students by helping schools provide tailored instruction and resources to students who are not native English speakers. Without federal oversight, it is possible that these programs could lose funding or be inconsistently applied across states, causing vulnerable populations to be without critical support.

    Advocates of dismantling the United States Department of Education also point to the financial burden of maintaining a federal agency. They argue that billions of dollars allocated to the department could be redirected to state education budgets, thereby allowing for more impactful initiatives at the forefront. By eliminating bureaucratic layers, states could potentially deliver education funding more efficiently, thereby focusing resources directly on teachers, classrooms, and students.

    Another critical function of the United States Department of Education is establishing and enforcing national education standards. Programs such as NCLB and ESSA aim to hold schools accountable for student performance and ensure consistency across states (albeit, there are arguments those programs have led to a culture of “teaching to the test” and have stifled creativity in the classroom), but allowing states and local districts to have greater freedom to design their own standards and assessments may fostering innovation while also leading to the quality of education varying dramatically from state to state and can cause challenges for students in transient populations due to a lack of cohesion disrupting their education and limiting their opportunities.

    Keeping the United States Department of Education 

    Dismantling the United States Department of Education raises significant concerns about equity. The department plays a crucial role in addressing disparities in funding education, as well as in funding access. Federal programs (i.e., Title I, free meals, counseling, after-school programs, etc.) provide additional resources to schools serving high numbers of low-income students, many of which are located in inner-city areas. Without the United States Department of Education, these programs might be eliminated or left to the discretion of states that have historically struggled to prioritize funding for underserved communities.

    Inner-city urban schools often face unique challenges (i.e., overcrowding, insufficient funding, higher rates of poverty among students, etc.). Many of these schools also serve disproportionately high numbers of students with disabilities and ELL students, thereby making federal support even more vital. The United States Department of Education enforces civil rights protections that ensures that all students (including vulnerable subgroups) receive equitable treatment. Dismantling the department could weaken these safeguards, thereby leaving marginalized communities more vulnerable to neglect. Therefore, the loss of federal oversight is a serious concern for public education. Historically, states have not always allocated resources equitably, and urban school districts have often been underfunded compared to their suburban counterparts. Federal intervention has been essential in addressing these disparities. Without it, inner-city schools may struggle to maintain even basic standards of education, thereby exacerbating poverty and inequality.

    All schools (not just inner-city schools) will be adversely impacted by dismantling the United States Department of Education. Federal funding supports Advanced Placement (AP) courses, STEM initiatives, and dual-enrollment opportunities. Dismantling the United States Department of Education could lead to inconsistencies in college admissions processes because states might adopt different graduation requirements and assessments. This lack of standardization could complicate admissions for students applying to out-of-state or prestigious universities. Furthermore, the United States Department of Education funds research initiatives that lead to the development of new teaching methods, technologies, and curricula. These innovations often benefit all schools, but without federal support, such research might stagnate leaving schools without access to cutting-edge educational resources.

    Conclusion

    In conclusion, the debate pertaining to dismantling the United States Department of Education has taken on new urgency under the Trump administration in 2025. While advocates of dismantling the department argue for greater local control and efficiency, the critics highlight the potential risks to equity and access.  As the nation grapples with this issue, it is essential to prioritize the needs of students (and communities). The ultimate goal must be to create a more equitable and effective education system that serves all students regardless of their background or zip code.

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  • Our top education stories of 2025

    Our top education stories of 2025

    Our top education stories of 2025

    Note that the first one from this “media” outlet for school choice (and by “for” I do mean in favour of) is focused on the proposed Catholic cyber charter school.

    Why We Do This

    Fact-based, nonprofit journalism is the key to shaping better outcomes for America’s students. Support us this holiday season and be part of the solution.

    Good morning,

    We hope you’re enjoying a restful holiday season. At The 74, we’ve been reflecting on a dizzying year in education news. From the dismantling of the Education Department to immigration crackdowns that spurred concerned families to keep children home from school (or leave the country altogether) to why kids aren’t reading for fun anymore and artificial intelligence in the classroom, we have covered a vast array of important stories this year. Below is a roundup of some of our biggest, most important stories of 2025.

    And, in case you missed them earlier this month, we are reupping our lists of the most talked-about and impactful education essays of 2025, the best charts of the year and our annual Jealousy List.

    And a programming note: We’ll be taking a break from our regular lineup of newsletters for the rest of the week. We wish you all a happy and healthy New Year!

    When it comes to education news, 2025 was unprecedented. Tectonic shifts to education policy and child welfare were set in motion — and at a dizzying pace. Plus, many other storylines were playing out, including literacy, the state of teacher pay and the challenges educators face as they grapple with the rapid adoption of artificial intelligence. And we expanded our coverage to include crucial issues facing early child care and education. We hope you take the time to read (and share) these impactful stories. Here are some of the highlights:

    • Supreme Court: The Justice, the Professor and the Friendship That Could Rattle a Pivotal Religious Charter School Case

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  • 25 predictions about AI and edtech

    25 predictions about AI and edtech

    eSchool News is counting down the 10 most-read stories of 2025. Story #2 focuses on predictions educators made for AI in 2025.

    When it comes to education trends, AI certainly has staying power. As generative AI technologies evolve, educators are moving away from fears about AI-enabled cheating and are embracing the idea that AI can open new doors for teaching and learning.

    AI tools can reduce the administrative burden so many educators carry, can personalize learning for students, and can help students become more engaged in their learning when they use the tools to brainstorm and expand on ideas for assignments and projects. Having AI skills is also essential for today’s students, who will enter a workforce where AI know-how is becoming more necessary for success.

    So: What’s next for AI in education? We asked educators, edtech industry leaders, stakeholders, and experts to share some predictions about where they think AI is headed in 2025. (Here’s our list of 50 predictions for edtech in 2025.)

    Here’s what they had to say:

    In 2025, online program leaders will begin to unlock the vast potential of generative AI, integrating it more deeply into the instructional design process in ways that can amplify and expedite the work of faculty and instructional designers. This technology, already making waves in instruction and assessment, stands poised to transform the creation of online courses. By streamlining time-intensive tasks, generative AI offers the promise of automation, replication, and scalability, enabling institutions to expand their online offerings at an unprecedented pace. The key is that we maintain rigorous standards of quality–and create clear guardrails around the ethical use of AI at a time when increasingly sophisticated models are blurring the lines between human design–and artificial intelligence. Generative AI holds extraordinary promise, but its adoption must be grounded in practices that prioritize equitable and inclusive access, transparency, and educational excellence.
    –Deb Adair, CEO, Quality Matters

    In 2025, education in the United States will reflect both the challenges and opportunities of a system in transition. Uncertainty and change at the federal level will continue to shift decision-making power to states, leaving them with greater autonomy but also greater responsibility. While this decentralization may spark localized innovation, it is just as likely to create uneven standards. In some states, we’ve already seen benchmarks lowered to normalize declines, a trend that could spread as states grapple with resource and performance issues. This dynamic will place an even greater burden on schools, teachers, and academic leaders. As those closest to learners, they will bear the responsibility of bridging the gap between systemic challenges and individual student success. To do so effectively, schools will require tools that reduce administrative complexity, enabling educators to focus on fostering personal connections with students–the foundation of meaningful academic growth. AI will play a transformative role in this landscape, offering solutions to these pressures. However, fragmented adoption driven by decentralized decision-making will lead to inequities, with some districts leveraging AI effectively and others struggling to integrate it. In this complex environment, enterprise platforms that offer flexibility, integration, and choice will become essential. 2025 will demand resilience and creativity, but it also offers all of us an opportunity to refocus on what truly matters: supporting educators and the students they inspire.
    —Scott Anderberg, CEO, Moodle

    As chatbots become more sophisticated, they’re rapidly becoming a favorite among students for their interactive and personalized support, and we can expect to see them increasingly integrated into classrooms, tutoring platforms, and educational apps as educators embrace this engaging tool for learning. Additionally, AI is poised to play an even larger role in education, particularly in test preparation and course planning. By leveraging data and predictive analytics, AI-driven tools will help students and educators create more tailored and effective learning pathways, enhancing the overall educational experience.
    —Brad Barton, CTO, YouScience 

    As we move into 2025,  we’ll move past the AI hype cycle and pivot toward solving tangible classroom challenges. Effective AI solutions will integrate seamlessly into the learning environment, enhancing rather than disrupting the teaching experience. The focus will shift to practical tools that help teachers sustain student attention and engagement–the foundation of effective learning. These innovations will prioritize giving educators greater flexibility and control, allowing them to move freely around the classroom while effortlessly managing and switching between digital resources. An approach that ensures technology supports and amplifies the irreplaceable human connections at the heart of learning, rather than replacing them.
    –Levi Belnap, CEO, Merlyn Mind

    The year 2025 is set to transform science education by implementing AI-driven learning platforms. These platforms will dynamically adjust to the student’s interests and learning paces, enhancing accessibility and inclusivity in education. Additionally, virtual labs and simulations will rise, enabling students to experiment with concepts without geographical constraints. This evolution will make high-quality STEM education more universally accessible.
    –Tiago Costa, Cloud & AI Architect, Microsoft; Pearson Video Lesson Instructor 

    In the two years since GenAI was unleashed, K-12 leaders have ridden the wave of experimentation and uncertainty about the role this transformative technology should have in classrooms and districts. 2025 will see a shift toward GenAI strategy development, clear policy and governance creation, instructional integration, and guardrail setting for educators and students. K-12 districts recognize the need to upskill their teachers, not only to take advantage of GenAI to personalize learning, but also so they can teach students how to use this tech responsibly. On the back end, IT leaders will grapple with increased infrastructure demands and ever-increasing cybersecurity threats.
    —Delia DeCourcy, Senior Strategist, Lenovo Worldwide Education Team

    AI-driven tools will transform the role of teachers and support staff in 2025: The advent of AI will allow teachers to offload mundane administrative tasks to students and provide them more energy to be at the “heart and soul” of the classroom. Moreover, more than two-thirds (64 percent) of parents agreed or strongly agreed that AI should help free teachers from administrative tasks and help them build connections with the classroom. Impact of technological advancements on hybrid and remote learning models in 2025: AI is revolutionizing the online learning experience with personalized pathways, tailored skills development and support, and enhanced content creation. For example, some HBS Online courses, like Launching Tech Ventures, feature an AI course assistant bot to help address learners’ questions and facilitate successful course completion. While the long-term impact remains uncertain, AI is narrowing the gap between online and in-person education. By analyzing user behavior and learning preferences, AI can create adaptive learning environments that dynamically adjust to individual needs, making education more engaging and effective. 
    –David Everson, Senior Director of Marketing Solutions, Laserfiche

    In education and digital publishing, artificial intelligence (AI) will continue transitioning from novelty applications to solutions that address real-world challenges facing educators and students. Successful companies will focus on data security and user trust, and will create learner-centered AI tools to deliver personalized experiences that adapt to individual needs and enhance efficiency for educators, enabling them to dedicate more time to fostering meaningful connections with students. The ethical integration of AI technologies such as retrieval-augmented generation (RAG) is key to this evolution. Unlike traditional large language models that ingest information from the Internet at large, RAG delivers AI outputs that are grounded in authoritative, peer-reviewed content, reducing the risk of misinformation while safeguarding the integrity of intellectual property. Thoughtfully developed AI tools such as this will become partners in the learning journey, encouraging analysis, problem-solving, and creativity rather than fostering dependence on automated responses. By taking a deliberate approach that focuses on ethical practices, user-centered design, and supporting the cultivation of essential skills, successful education companies will use AI less as innovation for its own sake and more as a means to provide rich and memorable teaching and learning experiences.
    —Paul Gazzolo, Senior Vice President & Global General Manager, Gale, a Part of Cengage Group

    Adaptive learning technologies will continue to personalize curriculum and assessment, creating a more responsive and engaging educational journey that reflects each student’s strengths and growth areas. Generative AI and other cutting-edge advancements will be instrumental in building solutions that optimize classroom support, particularly in integrating assessment and instruction. We will see more technology that can help educators understand the past to edit materials in the present, to accelerate teachers planning for the future.
    —Andrew Goldman, EVP, HMH Labs

    We’ll witness a fundamental shift in how we approach student assessment, moving away from conventional testing models toward more authentic experiences that are seamless with instruction. The thoughtful integration of AI, particularly voice AI technology, will transform assessment from an intermittent event into a natural part of the learning process. The most promising applications will be those that combine advanced technology with research-validated methodologies. Voice-enabled assessments will open new possibilities for measuring student knowledge in ways that are more natural and accessible, especially for our youngest learners, leveraging AI’s capabilities to streamline assessment while ensuring that technology serves as a tool to augment, rather than replace, the critical role of teachers.
    –Kristen Huff, Head of Measurement, Curriculum Associates

    AI is already being used by many educators, not just to gain efficiencies, but to make a real difference in how their students are learning. I suspect in 2025 we’ll see even more educators experimenting and leveraging AI tools as they evolve–especially as more of the Gen Z population enters the teaching workforce. In 2024, surveyed K-12 educators reported already using AI to create personalized learning experiences, provide real-time performance feedback, and foster critical thinking skills. Not only will AI usage continue to trend up throughout 2025, I do believe it will reach new heights as more teachers begin to explore GenAI as a hyper-personalized asset to support their work in the classroom. This includes the use of AI as an official teacher’s assistant (TA), helping to score free response homework and tests and providing real-time, individualized feedback to students on their education journey.
    –John Jorgenson, CMO, Cambium Learning Group

    The new year will continue to see the topic of AI dominate the conversation as institutions emphasize the need for students to understand AI fundamentals, ethical considerations, and real-world applications outside of the classroom. However, a widening skills gap between students and educators in AI and digital literacy presents a challenge. Many educators have not prioritized keeping up with rapid technological advancements, while students–often exposed to digital tools early on–adapt quickly. This gap can lead to uneven integration of AI in classrooms, where students sometimes outpace their instructors in understanding. To bridge this divide, comprehensive professional development for teachers is essential, focusing on both technical skills and effective teaching strategies for AI-related topics. Underscoring the evolving tech in classrooms will be the need for evidence of outcomes, not just with AI but all tools. In the post-ESSER era, evidence-based decision-making is crucial for K-12 schools striving to sustain effective programs without federal emergency funds. With the need to further justify expenditures, schools must rely on data to evaluate the impact of educational initiatives on student outcomes, from academic achievement to mental health support. Evidence helps educators and administrators identify which programs truly benefit students, enabling them to allocate resources wisely and prioritize what works. By focusing on measurable results, schools can enhance accountability, build stakeholder trust, and ensure that investments directly contribute to meaningful, lasting improvements in learning and well-being.
    —Melissa Loble, Chief Academic Officer, Instructure

    With AI literacy in the spotlight, lifelong learning will become the new normal. Immediate skills need: The role of “individual contributors” will evolve, and we will all be managers of AI agents, making AI skills a must-have. Skills of the future: Quantum skills will start to be in demand in the job market as quantum development continues to push forward over the next year. Always in-demand skills: The overall increase in cyberattacks and emerging risks, such as harvest now and decrypt later (HNDL) attacks, will further underscore the continued importance of cybersecurity skills. Upskilling won’t end with AI. Each new wave of technology will demand new skills, so lifelong learners will thrive. AI will not be siloed to use among technology professionals. The democratization of AI technology and the proliferation of AI agents have already made AI skills today’s priority. Looking ahead, quantum skills will begin to grow in demand with the steady advance of the technology. Meanwhile cybersecurity skills are an evergreen need.
    —Lydia Logan, VP of Global Education & Workforce Development, IBM

    This coming year, we’ll see real progress in using technology, particularly GenAI, to free up teachers’ time. This will enable them to focus on what they do best: working directly with students and fostering the deep connections crucial for student growth and achievement. GenAI-powered assistants will streamline lesson planning after digesting information from a sea of assessments to provide personalized recommendations for instruction to an entire class, small groups, and individual students. The bottom line is technology that never aims to replace a teacher’s expertise–nothing ever should–but gives them back time to deepen relationships with students.
    —Jack Lynch, CEO, HMH

    Looking to 2025, I anticipate several key trends that will further enhance the fusion of educators, AI and multimodal learning. AI-powered personalization enhanced by multimedia: AI will deliver personalized learning paths enriched with various content formats. By adapting to individual learning styles–whether visual, auditory, or kinesthetic–we can make education more engaging and effective. Expansion of multimodal learning experiences: Students will increasingly expect learning materials that engage multiple senses. Integrating short-form videos created and vetted by actual educators, interactive simulations, and audio content will cater to different learning preferences, making education more inclusive and effective. Deepening collaboration with educators: Teachers will play an even more critical role in developing and curating multimodal content. Their expertise ensures that the integration of technology enhances rather than detracts from the learning experience.
    –Nhon Ma, CEO & Co-founder, Numerade

    AI and automation become a competitive advantage for education platforms and systems. 2025 will be the year for AI to be more infused in education initiatives and platforms. AI-powered solutions have reached a tipping point from being a nice-to-have to a must-have in order to deliver compelling and competitive education experiences. When we look at the education sector, the use cases are clear. From creating content like quizzes, to matching students with education courses that meet their needs, to grading huge volumes of work, enhancing coaching and guidance for students, and even collecting, analyzing and acting on feedback from learners, there is so much value to reap from AI. Looking ahead, there could be additional applications in education for multimodal AI models, which are capable of processing and analyzing complex documents including images, tables, charts, and audio.
    —Rachael Mohammed, Corporate Social Responsibility Digital Offerings Leader, IBM

    Agentic and Shadow AI are here. Now, building guardrails for safe and powerful use will be key for education providers and will require new skillsets. In education, we expect the start of a shift from traditional AI tools to agents. In addition, the mainstream use of AI technology with ChatGPT and OpenAI has increased the potential risk of Shadow AI (the use of non-approved public AI applications, potentially causing concerns about compromising sensitive information). These two phenomena highlight the importance of accountability, data and IT policies, as well as control of autonomous systems. This is key mostly for education providers, where we think there will be greater attention paid to the AI guardrails and process. To be prepared, educators, students, and decision makers at all levels need to be upskilled in AI, with a focus on AI ethics and data management. If we invest in training the workforce now, they will be ready to responsibly develop and use AI and AI agents in a way that is trustworthy.
    —Justina Nixon-Saintil, Vice President & Chief Impact Officer, IBM

    Rather than replacing human expertise, AI can be used as a resource to allow someone to focus more of their time on what’s truly important and impactful. As an educator, AI has become an indispensable tool for creating lesson plans. It helps generate examples, activity ideas, and anticipate future students’ questions, freeing me to focus on the broader framework and the deeper meaning of what I’m teaching.
    –Sinan Ozdemir, Founder & Chief Technology Officer, Shiba Technologies; Author, Quick Start Guide to Large Language Models 

    Data analytics and AI will be essential towards tackling the chronic absenteeism crisis. In 2025, the conversation around belonging will shift from abstract concepts to concrete actions in schools. Teachers who build strong relationships with both students and families will see better attendance and engagement, leading more schools to prioritize meaningful connection-building over quick-fix solutions. We’ll see more districts move toward personalized, two-way school communications that create trust with parents and the larger school community. In order to keep up with the growing need for this type of individualized outreach, schools will use data analytics and AI to identify attendance and academic patterns that indicate students are at risk of becoming chronically absent. It won’t be dramatic, but we’ll see steady progress throughout the year as schools recognize that student success depends on creating environments where both students and families feel valued and heard.
    —Dr. Kara Stern, Director of Education and Engagement, SchoolStatus

    As access to AI resources gains ground in classrooms, educators will face a dire responsibility to not only master these tools but to establish guidelines and provide best practices to ensure effective and responsible use. The increasing demand for AI requires educators to stay informed about emerging applications and prioritize ethical practices, ensuring AI enhances rather than impedes educational outcomes.. This is particularly critical in STEM fields, where AI has already transformed industries and is shaping career paths, providing new learning opportunities for students. To prevent the exacerbation of the existing STEM gap, educators must prioritize equitable access to AI resources and tools, ensuring that all students, regardless of background, have the opportunity to engage with and fully understand these technologies. This focus on equity is essential in leveling the playing field, helping bridge disparities that could otherwise limit students’ future success. Achieving these goals will require educators to engage in professional development programs designed to equip them with necessary skills and content knowledge to implement new technology in their classrooms. Learning how to foster inclusive environments is vital to cultivating a positive school climate where students feel motivated to succeed. Meanwhile, professionally-trained educators can support the integration of new technologies to ensure that every student has the opportunity to thrive in this new educational landscape.
    —Michelle Stie, Vice President, Program Design & Innovation, NMSI

    Artificial intelligence (AI) is poised to increase in use in K-12 classrooms, with literacy instruction emerging as a key area for transformative impact. While educators may associate AI with concerns like cheating, its potential to enhance human-centered teaching is gaining recognition. By streamlining administrative tasks, AI empowers teachers to focus on connecting with students and delivering personalized instruction. One trend to watch is AI’s role in automating reading assessments. These tools reduce the time educators spend administering and analyzing tests, offering real-time insights that guide individualized instruction. AI is also excelling at pinpointing skill gaps, allowing teachers to intervene early, particularly in foundational reading areas.  Another emerging trend is AI-driven reading practice. Tools can adapt to each student’s needs, delivering engaging, personalized reading tutoring with immediate corrective feedback. This ensures consistent, intentional practice–a critical factor in literacy growth. Rather than replacing teachers, AI frees up educator time for what matters most: fostering relationships with students and delivering high-quality instruction. As schools look to optimize resources in the coming year, AI’s ability to augment literacy instruction can be an important tool that maximizes students’ growth, while minimizing teachers’ work.
    —Janine Walker-Caffrey, Ed.D., Chief Academic Officer, EPS Learning

    We expect a renewed focus on human writing with a broader purpose–clear communication that demonstrates knowledge and understanding, enhanced, not replaced by available technology. With AI making basic elements of writing more accessible to all, this renaissance of writing will emphasize the ability to combine topical knowledge, critical thinking, mastery of language and AI applications to develop written work. Instead of being warned against using generative AI, students will be asked to move from demand–asking AI writing tools to produce work on their behalf, to command–owning the content creation process from start to finish and leveraging technology where it can be used to edit, enhance or expand original thinking. This shift will resurface the idea of co-authorship, including transparency around how written work comes together and disclosure of when and how AI tools were used to support the process. 
    —Eric Wang, VP of AI, Turnitin

    GenAI and AI writing detection tools will evolve, adding advanced capabilities to match each other’s detectability flex. End users are reaching higher levels of familiarity and maturity with AI functionality, resulting in a shift in how they are leveraged. Savvy users will take a bookend approach, focusing on early stage ideation, organization and expansion of original ideas as well as late stage refinement of ideas and writing. Coupling the use of GenAI with agentic AI applications will help to overcome current limitations, introducing multi-source analysis and adaptation capabilities to the writing process. Use of detection tools will improve as well, with a focus on preserving the teaching and learning process. In early stages, detection tools and indicator reports will create opportunities to focus teaching on addressing knowledge gaps and areas lacking original thought or foundation. Later stage detection will offer opportunities to strengthen the dialogue between educators and students, providing transparency that will reduce student risk and increase engagement.
    —Eric Wang, VP of AI, Turnitin

    Advanced AI tools will provide more equitable access for all students, inclusive of reaching students in their home language, deaf and hard of hearing support through AI-enabled ASL videos, blind and visually impaired with real time audio descriptions, tactiles, and assistive technology.
    –Trent Workman, SVP for U.S. School Assessments, Pearson 

    Generative AI everywhere: Generative AI, like ChatGPT, is getting smarter and more influential every day, with the market expected to grow a whopping 46 percent every year from now until 2030. By 2025, we’ll likely see AI churning out even more impressive text, images, and videos–completely transforming industries like marketing, design, and content creation. Under a Trump administration that might take a more “hands-off” approach, we could see faster growth with fewer restrictions holding things back. That could mean more innovative tools hitting the market sooner, but it will also require companies to be careful about privacy and job impacts on their own. The threat of AI-powered cyberattacks: Experts think 2025 might be the year cybercriminals go full throttle with AI. Think about it: with the advancement of the technology, cyberattacks powered by AI models could start using deepfakes, enhanced social engineering, and ultra-sophisticated malware. If the Trump administration focuses on cybersecurity mainly for critical infrastructure, private companies could face gaps in support, leaving sectors like healthcare and finance on their own to keep up with new threats. Without stronger regulations, businesses will have to get creative–and fast–when it comes to fighting off these attacks.
    –Alon Yamin, Co-Founder & CEO, Copyleaks

    Laura Ascione
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  • international education stories that shaped 2025

    international education stories that shaped 2025

    Here are five key stories that captured how the region strengthened its global education footprint, expanded transnational provision and reshaped student mobility.

    1. UAE leads MENA surge as international study interest soars

    The United Arab Emirates emerged as one of the region’s most prominent education hubs in 2025, experiencing a sharp increase in international study interest. Data highlighted growing demand from students across MENA and beyond, reinforcing the UAE’s position as both a destination for inbound mobility and a strategic base for international providers operating in the region.

    2. UAE streamlines accreditation process for HEIs in Dubai

    Dubai took steps to simplify and align its higher education accreditation processes, a move aimed at reducing regulatory duplication while maintaining quality assurance. The changes were widely seen as a boost for international universities operating in, or considering entry into, the emirate, strengthening Dubai’s appeal as a transnational hub for education.

    3. Strategic planning pays off for the MENA region in QS rankings

    Across the region, strong investment in research output, international partnerships, and reputation reinforcements translated into tangible gains in the QS World University Rankings. Several MENA universities from countries such as Saudi Arabia, Qatar, UAE, and Lebanon all climbed significantly, with record representation from the region underscoring how coordinated national strategies are beginning to deliver global recognition.

    4. University of New Haven announces Saudi Arabia Campus

    Saudi Arabia continues to position itself as a major hub for transnational education, with the University of New Haven opening a campus in the Kingdom. The move reflected growing international confidence in Saudi Arabia’s education market, as well as the country’s broader ambitions to attract top foreign providers under its Vision 2030.

    5. Egypt signs 12 cooperation agreements with the University of Louisville

    Elsewhere in the region, Egypt strengthened its international academic ties through a series of cooperation agreements between 12 Egyptian universities and the University of Louisville in the US. The agreements aimed to expand research collaboration, faculty exchange, and student mobility, signalling Egypt’s renewed focus on global engagement.

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  • Texas A&M Won’t Reinstate Instructor Fired for Gender Lesson

    Texas A&M Won’t Reinstate Instructor Fired for Gender Lesson

    A faculty panel determined in late September that McCoul’s academic freedom was violated.

    McKenna Baker/iStock/Getty Images

    Texas A&M University will not reinstate Melissa McCoul, the instructor fired in September after a video showing a student confronting her over a gender identity lesson went viral, The New York Times reported. 

    In a Dec. 19 memo that McCoul’s lawyer Amanda Reichek shared with the Times, the Texas A&M system’s vice chancellor for academic affairs, James Hallmark, wrote that he had “determined that Dr. McCoul’s dismissal was based upon good cause.”

    A faculty panel determined in late September that McCoul’s academic freedom was violated and that former Texas A&M president Mark Welsh flouted proper termination processes when he fired her.

    McCoul was “disappointed by the university’s unexplained decision to uphold her termination but looks forward to pursuing her First Amendment, due process and breach of contract claims in court very soon,” Reichek said in a statement to the Times.

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