Category: EdTech

  • Using generative tools to deepen, not replace, human connection in schools

    Using generative tools to deepen, not replace, human connection in schools

    Key points:

    For the last two years, conversations about AI in education have tended to fall into two camps: excitement about efficiency or fear of replacement. Teachers worry they’ll lose authenticity. Leaders worry about academic integrity. And across the country, schools are trying to make sense of a technology that feels both promising and overwhelming.

    But there’s a quieter, more human-centered opportunity emerging–one that rarely makes the headlines: AI can actually strengthen empathy and improve the quality of our interactions with students and staff.

    Not by automating relationships, but by helping us become more reflective, intentional, and attuned to the people we serve.

    As a middle school assistant principal and a higher education instructor, I’ve found that AI is most valuable not as a productivity tool, but as a perspective-taking tool. When used thoughtfully, it supports the emotional labor of teaching and leadership–the part of our work that cannot be automated.

    From efficiency to empathy

    Schools do not thrive because we write faster emails or generate quicker lesson plans. They thrive because students feel known. Teachers feel supported. Families feel included.

    AI can assist with the operational tasks, but the real potential lies in the way it can help us:

    • Reflect on tone before hitting “send” on a difficult email
    • Understand how a message may land for someone under stress
    • Role-play sensitive conversations with students or staff
    • Anticipate barriers that multilingual families might face
    • Rehearse a restorative response rather than reacting in the moment

    These are human actions–ones that require situational awareness and empathy. AI can’t perform them for us, but it can help us practice and prepare for them.

    A middle school use case: Preparing for the hard conversations

    Middle school is an emotional ecosystem. Students are forming identity, navigating social pressures, and learning how to advocate for themselves. Staff are juggling instructional demands while building trust with young adolescents whose needs shift by the week.

    Some days, the work feels like equal parts counselor, coach, and crisis navigator.

    One of the ways I’ve leveraged AI is by simulating difficult conversations before they happen. For example:

    • A student is anxious about returning to class after an incident
    • A teacher feels unsupported and frustrated
    • A family is confused about a schedule change or intervention plan

    By giving the AI a brief description and asking it to take on the perspective of the other person, I can rehearse responses that center calm, clarity, and compassion.

    This has made me more intentional in real interactions–I’m less reactive, more prepared, and more attuned to the emotions beneath the surface.

    Empathy improves when we get to “practice” it.

    Supporting newcomers and multilingual learners

    Schools like mine welcome dozens of newcomers each year, many with interrupted formal education. They bring extraordinary resilience–and significant emotional and linguistic needs.

    AI tools can support staff in ways that deepen connection, not diminish it:

    • Drafting bilingual communication with a softer, more culturally responsive tone
    • Helping teachers anticipate trauma triggers based on student histories
    • Rewriting classroom expectations in family-friendly language
    • Generating gentle scripts for welcoming a student experiencing culture shock

    The technology is not a substitute for bilingual staff or cultural competence. But it can serve as a bridge–helping educators reach families and students with more warmth, clarity, and accuracy.

    When language becomes more accessible, relationships strengthen.

    AI as a mirror for leadership

    One unexpected benefit of AI is that it acts as a mirror. When I ask it to review the clarity of a communication, or identify potential ambiguities, it often highlights blind spots:

    • “This sentence may sound punitive.”
    • “This may be interpreted as dismissing the student’s perspective.”
    • “Consider acknowledging the parent’s concern earlier in the message.”

    These are the kinds of insights reflective leaders try to surface–but in the rush of a school day, they are easy to miss.

    AI doesn’t remove responsibility; it enhances accountability. It helps us lead with more emotional intelligence, not less.

    What this looks like in teacher practice

    For teachers, AI can support empathy in similarly grounded ways:

    1. Building more inclusive lessons

    Teachers can ask AI to scan a lesson for hidden barriers–assumptions about background knowledge, vocabulary loads, or unclear steps that could frustrate students.

    2. Rewriting directions for struggling learners

    A slight shift in wording can make all the difference for a student with anxiety or processing challenges.

    3. Anticipating misconceptions before they happen

    AI can run through multiple “student responses” so teachers can see where confusion might arise.

    4. Practicing restorative language

    Teachers can try out scripts for responding to behavioral issues in ways that preserve dignity and connection.

    These aren’t shortcuts. They’re tools that elevate the craft.

    Human connection is the point

    The heart of education is human. AI doesn’t change that–in fact, it makes it more obvious.

    When we reduce the cognitive load of planning, we free up space for attunement.
    When we rehearse hard conversations, we show up with more steadiness.
    When we write in more inclusive language, more families feel seen.
    When we reflect on our tone, we build trust.

    The goal isn’t to create AI-enhanced classrooms. It’s to create relationship-centered classrooms where AI quietly supports the skills that matter most: empathy, clarity, and connection.

    Schools don’t need more automation.

    They need more humanity–and AI, used wisely, can help us get there.

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  • We built evaluation for accountability–now it’s time to build it for growth

    We built evaluation for accountability–now it’s time to build it for growth

    Key points:

    Teacher evaluations have been the subject of debate for decades. Breakthroughs have been attempted, but rarely sustained. Researchers have learned that context, transparency, and autonomy matter. What’s been missing is technology that enhances these at scale inside the evaluation process–not around it. 

    As an edtech executive in the AI era, I see exciting possibilities to bring new technology to bear on these factors in the longstanding dilemma of observing and rating teacher effectiveness.

    At the most fundamental level, the goals are simple, just as they are in other professions: provide accountability, celebrate areas of strong performance, and identify where improvement is needed. However, K-12 education is a uniquely visible and important industry. Between 2000 and 2015, quality control in K-12 education became more complex, with states, foundations, and federal policy all shaping the definition and measurement of a “proficient” teacher. 

    For instance, today’s observation cycle might include pre- and post-observation conferences plus scheduled and unscheduled classroom visits. Due to the potential for bias in personal observation, more weight has been given to student achievement, but after critics highlighted problems with measuring teacher performance via standardized test scores, additional metrics and artifacts were included as well.

    All of these changes have resulted in administrators spending more time on observation and evaluation, followed by copying notes between systems and drafting comments–rather than on timely, specific feedback that actually changes practice. “Even when I use Gemini or ChatGPT, I still spend 45 minutes rewriting to fit the district rubric,” one administrator noted.

    “When I think about the evaluation landscape, two challenges rise to the surface,” said Dr. Quintin Shepherd, superintendent at Pflugerville Independent School District in Texas. “The first is the overwhelming volume of information evaluators must gather, interpret, and synthesize. The second is the persistent perception among teachers that evaluation is something being done to them rather than something being done for them. Both challenges point in the same direction: the need for a resource that gives evaluators more capacity and teachers more clarity, immediacy, and ownership. This is where AI becomes essential.”

    What’s at stake

    School leaders are under tremendous pressure. Time and resources are tight. Achieving benchmarks is non-negotiable. There’s plenty of data available to identify patterns and understand what’s working–but analyzing it is not easy when the data is housed in multiple platforms that may not interface with one another. Generic AI tools haven’t solved this.  

    For teachers, professional development opportunities abound, and student data is readily available. But often they don’t receive adequate instructional mentoring to ideate and try out new strategies. 

    Districts that have experimented with AI to provide automated feedback of transcribed recordings of instruction have found limited impact on teaching practices. Teachers report skepticism that the evolving tech tools are able to accurately assess what is happening in their classrooms. Recent randomized controlled trials show that automated feedback can move specific practices when teachers engage with it. But that’s exactly the challenge: Engagement is optional. Evaluations are not. 

    Teachers whose observations and evaluations are compromised or whose growth is stymied by lost opportunities for mentoring may lose out financially. For example, in Texas, the 2025-26 school year is the data capture period for the Teacher Incentive Allotment. This means fair and objective reviews are more important than ever for educators’ future earning potential.

    For all of these reasons, the next wave of innovation has to live inside the required evaluation cycle, not off to the side as another “nice-to-have” tool.

    Streamlining the process

    My background at edtech companies has shown me how eager school leaders are to make data-informed decisions. But I know from countless conversations with administrators that they did not enter the education field to crunch numbers. They are motivated by seeing students thrive. 

    The breakthrough we need now is an AI-powered workspace that sits inside the evaluation system. Shepherd would like to see “AI that quietly assists with continuous evidence collection not through surveillance, but pattern recognition. It might analyze lesson materials for cognitive rigor, scan student work products to detect growth, or help teachers tag artifacts connected to standards.”

    We have the technology to create a collaborative workspace that can be mapped to the district’s framework and used by administrators, coaches, support teams, and educators to capture notes from observations, link them to goals, provide guidance, share lesson artifacts, engage in feedback discussions, and track growth across cycles. After participating in a pilot of one such collaborative workspace, an evaluator said that “for the first time, I wasn’t rewriting my notes to make them fit the rubric. The system kept the feedback clear and instructional instead of just compliance-based.”

    As a superintendent, Shepherd looks forward to AI support for helping make sense of complexity. “Evaluators juggle enormous qualitative loads: classroom culture, student engagement, instructional clarity, differentiation, formative assessment, and more. AI can act as a thinking partner, organizing trends, highlighting possible connections, identifying where to probe deeper, or offering research-based framing for feedback.”

    The evaluation process will always be scrutinized, but what must change is whether it continues to drain time and trust or becomes a catalyst for better teaching. Shepherd expects the pace of adoption to pick up speed as the benefits for educators become clear: “Teachers will have access to immediate feedback loops and tools that help them analyze student work, reconsider lesson structures, or reflect on pacing and questioning. This strengthens professional agency and shifts evaluation from a compliance ritual to a growth process.”

    Real leadership means moving beyond outdated processes and redesigning evaluation to center evidence, clarity, and authentic feedback. When evaluation stops being something to get through and becomes something that improves practice, we will finally see technology drive better teaching and learning.

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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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  • Edtech teaching strategies that support sustainability

    Edtech teaching strategies that support sustainability

    eSchool News is counting down the 10 most-read stories of 2025. Story #7 focuses on sustainability in edtech.

    Key points:

    Educational technology, or edtech, has reshaped how educators teach, offering opportunities to create more sustainable and impactful learning environments.

    Using edtech in teaching, educators and school leaders can reduce environmental impact while enhancing student engagement and creativity. The key is recognizing how to effectively leverage edtech learning strategies, from digitized lesson plans to virtual collaboration, and keeping an open mind while embracing new instructional methods.

    Rethinking teaching methods in the digital age

    Teaching methods have undergone significant transformation with the rise of educational technology. Traditional classroom settings are evolving, integrating tools and techniques that prioritize active participation and collaboration.

    Here are three edtech learning strategies:

    • The flipped classroom model reverses the typical teaching structure. Instead of delivering lectures in class and assigning homework, teachers provide pre-recorded lessons or materials for students to review at home. Classroom time is then used for hands-on activities, group discussions, or problem-solving tasks.
    • Gamification is another method gaining traction. By incorporating game-like elements such as point systems, leaderboards, and challenges into lesson plans, teachers can motivate students and make learning more interactive. Platforms like Kahoot and Classcraft encourage participation while reducing paper-based activities.
    • Collaborative online tools, such as Google Workspace for Education, also play a critical role in modern classrooms. They enable students to work together on projects in real time, eliminating the need for printed resources. These tools enhance teamwork and streamline the sharing of information in eco-friendly ways.

    Sustainability and innovation in education

    Have you ever wondered how much paper schools use? There are approximately 100,000 schools in this country that consume about 32 billion sheets of paper yearly. On a local level, the average school uses 2,000 sheets daily–that comes out to $16,000 a year. Think about what else that money could be used for in your school.

    Here are ways that edtech can reduce reliance on physical materials:

    • Digital textbooks minimize the need for printed books and reduce waste. Through e-readers, students access a vast library of resources without carrying heavy, paper-based textbooks.
    • Virtual labs provide another example of sustainable education. These labs allow students to conduct experiments in a simulated environment, eliminating the need for disposable materials or expensive lab setups. These applications offer interactive simulations that are cost-effective and eco-conscious.
    • Schools can also adopt learning management systems to centralize course materials, assignments, and feedback. By using these platforms, teachers can cut down on printed handouts and encourage digital submissions, further reducing paper usage.

    Additionally, edtech platforms are beginning to incorporate budget-friendly tools designed with sustainability in mind; some of these resources are free. For instance, apps that monitor energy consumption or carbon footprints in school operations can educate students about environmental stewardship while encouraging sustainable practices in their own lives.

    Supporting teachers in the shift to edtech

    Transitioning to edtech can be a challenging yet rewarding experience for educators. By streamlining administrative tasks and enhancing lesson delivery, technology empowers teachers to focus on what matters most: engaging students.

    Circling back to having an open mind–while many teachers are eager to adopt edtech learning strategies, others might struggle more with technology. You need to expect this and be prepared to offer continuous support. Professional development opportunities are essential to ease the adoption of edtech. Schools can offer workshops and training sessions to help teachers feel confident with new tools. For instance, hosting peer-led sessions where educators share best practices fosters a collaborative approach to learning and implementation.

    Another way to support teachers is by providing access to online resources that offer lesson plans, tutorials, and templates. Encouraging experimentation and flexibility in teaching methods can also lead to better integration of technology. By allowing teachers to adapt tools to their unique classroom needs, schools can foster an environment where innovation thrives.

    If you’re concerned about bumps on this road, remember teachers have common traits that align with edtech. Good teachers are organized, flexible, have communication skills, and are open-minded. Encourage a team approach that’s motivating and leverages their love of learning.

    Bringing sustainability and enhanced learning to classrooms

    The integration of edtech learning strategies into classrooms brings sustainability and enhanced learning experiences to the forefront. By reducing reliance on physical materials and introducing eco-friendly tools, schools can significantly lower their environmental impact. At the same time, teachers gain access to methods that inspire creativity and collaboration among students.

    There’s also this: Edtech learning strategies are constantly evolving, so you’ll want to stay on top of these trends. While many of those focus on learning strategies, others are more about emergency response, safety, and data management,

    Investing in modern technologies and supporting teachers through training and resources ensures the success of these initiatives. By embracing edtech learning strategies, educators and administrators can create classrooms that are not only effective but also sustainable–a win for students, teachers, and the planet.

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  • Why every middle school student deserves a second chance to learn to read

    Why every middle school student deserves a second chance to learn to read

    Key points:

    Between kindergarten and second grade, much of the school day is dedicated to helping our youngest students master phonics, syllabication, and letter-sound correspondence–the essential building blocks to lifelong learning.

    Unfortunately, this foundational reading instruction has been stamped with an arbitrary expiration date. Students who miss that critical learning window, including our English Language Learners (ELL), children with learning disabilities, and those who find reading comprehension challenging, are pushed forward through middle and high school without the tools they need. In the race to catch up to classmates, they struggle academically, emotionally, and in extreme cases, eventually disengage or drop out.

    Thirteen-year-old Alma, for instance, was still learning the English language during those first three years of school. She grappled with literacy for years, watching her peers breeze through assignments while she stumbled over basic decoding. However, by participating in a phonetics-first foundational literacy program in sixth grade, she is now reading at grade level.

    “I am more comfortable when I read,” she shared. “And can I speak more fluently.”

    Alma’s words represent a transformation that American education typically says is impossible after second grade–that every child can become a successful reader if given a second chance.

    Lifting up the learners left behind 

    At Southwestern Jefferson County Consolidated School in Hanover, Ind., I teach middle-school students like Alma who are learning English as their second language. Many spent their formative school years building oral language proficiency and, as a result, lost out on systematic instruction grounded in English phonics patterns. 

    These bright and ambitious students lack basic foundational skills, but are expected to keep up with their classmates. To help ELL students access the same rigorous content as their peers while simultaneously building the decoding skills they missed, we had to give them a do-over without dragging them a step back. 

    Last year, we introduced our students to Readable English, a research-backed phonetic system that makes English decoding visible and teachable at any age. The platform embeds foundational language instruction into grade-level content, including the textbooks, novels, and worksheets all students are using, but with phonetic scaffolding that makes decoding explicit and systematic.

    To help my students unlock the code behind complicated English language rules, we centered our classroom intervention on three core components:

    • Rhyming: The ability to rhyme, typically mastered by age five, is a key early literacy indicator. However, almost every ELL student in my class was missing this vital skill. Changing even one letter can alter the sound of a word, and homographic words like “tear” have completely different sounds and meanings. By embedding a pronunciation guide into classroom content, glyphs–or visual diacritical marks–indicate irregular sounds in common words and provide key information about the sound a particular letter makes.
    • Syllabication patterns: Because our ELL students were busy learning conversational English during the critical K-2 years, systematic syllable division, an essential decoding strategy, was never practiced. Through the platform, visual syllable breaks organize words into simple, readable chunks that make patterns explicit and teachable.
    • Silent letter patterns: With our new phonics platform, students can quickly “hear” different sounds. Unmarked letters make their usual sound while grayed-out letters indicate those with a silent sound. For students frustrated with pronunciation, pulling back the curtain on language rules provided them with that “a-ha” moment.

    The impact on our students’ reading proficiency has been immediate and measurable, creating a cognitive energy shift from decoding to comprehension. Eleven-year-old Rodrigo, who has been in the U.S. for only two years, reports he’s “better at my other classes now” and is seeing boosts in his science, social studies, and math grades.

    Taking a new step on a nationwide level

    The middle-school reading crisis in the U.S. is devastating for our students. One-third of eighth-graders failed to hit the National Assessment of Educational Progress (NAEP) benchmark in reading, the largest percentage ever. In addition, students who fail to build literacy skills exhibit lower levels of achievement and are more likely to drop out of school. 

    The state of Indiana has recognized the crisis and, this fall, launched a new reading initiative for middle-school students. While this effort is a celebrated first step, every school needs the right tools to make intervention a success, especially for our ELL students. 

    Educators can no longer expect students to access grade-level content without giving them grade-level decoding skills. Middle-school students need foundational literacy instruction that respects their age, cognitive development, and dignity. Revisiting primary-grade phonics curriculum isn’t the right answer–educators must empower kids with phonetic scaffolding embedded in the same content their classmates are learning. 

    To help all students excel and embrace a love of reading, it’s time to reject the idea that literacy instruction expires in second grade. Instead, all of us can provide every child, at any age, the chance to become a successful lifelong reader who finds joy in the written word.

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  • One Small Idea Can Have A Big Impact #EdChat

    One Small Idea Can Have A Big Impact #EdChat

    I’ve been very lucky to have been part of many different EdTech Communities over the years. From my time spent with amazing educators at Adobe, Google, Raspberry Pi, Sphero, TED-Ed, and my first EdTech Community, Evernote, I’ve loved how you get what you put into a community. It can be what you need it to be when you want it to be. I’ve taken all of these experiences I use them to help me craft the community experience for educators in the SchoolAI Community. 

    One of the things I have loved from the different communities was the effort to give the community members a platform to share their story. There is so much we can all learn from each other, but educators are not always given the chance to share or they do not have the ability to attend a conference and share their story. Sometimes the keynote circuit is the same few names and it can be tough to break into those conversations. That’s why I have started the SchoolAI Lightning Talks. 

    Open to any educator who has an idea worth sharing, I want to give as many educators as possible a chance to share something that matters to them. You can find all of the details here and the submission page here. Do not let “I’m sure everyone already knows this.” or “It probably doesn’t make that big of a difference.” stop you from sharing. Do not let the imposter syndrome take over and prevent you from sharing your idea. If you have any questions, feel free to send me an email at [email protected] or find me on my socials. @TheNerdyTeacher

    Hugs and High Fives to everyone!

    NP

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  • PhysicsWallah becomes first Indian edtech unicorn to go public

    PhysicsWallah becomes first Indian edtech unicorn to go public

    Run by founders Alakh Pandey and Prateek Maheshwari, PhysicsWallah, which became a unicorn after surpassing a USD$1bn valuation, opened its public offering for subscription on November 11, with the bidding closing on November 13.

    The IPO, comprising a Rs 3,100 crore (USD$350m) fresh issue and a Rs 380 crore (USD$42.9m) offer-for-sale (OFS) by Pandey and Maheshwari, raised Rs 1,563 crore (USD$176.4m) from anchor investors at Rs 109 per share, a day before the issue opened.

    PhysicsWallah, known for its digital courses, physical centres, and hybrid programs, with a strong focus on India’s national-level engineering and medical exams as well as government exam prep, views the IPO as a key milestone.

    We plan to open at least 70 centres annually over the next three years, with around Rs 400 crore allocated for this
    Alakh Pandey, PhysicsWallah

    The stock market listing makes PhysicsWallah India’s first pure-play edtech company to go public. Pandey said the IPO proceeds would be largely used to expand offline centres and boost branding.

    “The first major expense after the IPO will be setting up new offline centres. This is our primary focus, as we plan to open at least 70 centres annually over the next three years, with around Rs 400 crore allocated for this,” stated Pandey, during a media briefing with reporters.

    “Another Rs 400 crore will be spent on our existing centres, covering lease and rental expenses. Around Rs 700 crore will go toward branding and event marketing over the next three years, with at least Rs 250 crore each year. Additionally, Rs 200 crore will be allocated for technology upgrade and server costs, and the remaining funds will be used for general expenses.”

    Backed by venture capital firms WestBridge Capital, Hornbill, and GSV Ventures, the company, strong in India’s tier-2 and tier-3 cities, sees the IPO as paving the way for further expansion in Karnataka, Kerala, Tamil Nadu, Gujarat, Odisha, and Northeast India.

    “Physics Wallah is an impactful organisation – from Tier 3 towns to villages, students everywhere are learning through our platform,” said Pandey.

    PhysicsWallah hitting Dalal Street, India’s equivalent of Wall Street and home to the Bombay Stock Exchange (BSE), comes at a time when some of the country’s biggest edtech competitors are seeing their businesses shrink.

    While Byju’s, once the world’s “most valued” edtech startup, is facing takeover bids amid bankruptcy proceedings and lawsuits over “alleged harm to its reputation”, Unacademy has seen a year-on-year decline in total revenue over the past two years, with Upgrad reportedly considering acquiring the company at roughly a tenth of its last valuation of USD$3.44bn.

    Though PhysicsWallah reported a 33% revenue jump to Rs 847 crore (USD$95.5m) in Q1FY26, its net losses widened to Rs 127 crore (USD$14.3m) due to a 39% rise in expenses.

    The company, however, has maintained that its revenue has grown 90% over the past two years and that it maintains a strong cash balance.

    “I want this company to be run with discipline, to grow responsibly, and to make it public in a way that benefits everyone. We are in a hyper-growth phase, and as we expand, we don’t want to slow down or fail to deliver. The IPO will also help us gain more trust and traction with parents.

    “Online education will continue to be our biggest focus – whether it’s a student in Grade 6 or a college or UPSC aspirant. We currently reach 42 lakh (over 4 million) students, mostly in test prep, but we are expanding into school education and board exams. Our aim is to make affordable education accessible across regions,” Pandey added.

    Despite initial optimism, reflected in domestic mutual funds taking up more than half of the allocation – indicating early institutional confidence – the demand in the public issue has remained lukewarm.

    The IPO got off to a slow start, with Day 1 subscription at just 7% and Day 2 improving slightly to 12%, falling well short of market expectations.

    By Day 3, the IPO reached 1.11x overall subscription, with the retail portion at 85%, non-institutional investors (NII) at 25%, qualified institutional buyers (QIBs) at 1.61x, and the employee portion subscribed 2.58x.

    The basis of allotment, which determines how many shares each investor will actually receive, is expected on November 14, with listing likely on November 18.

    Experts suggest that PhysicsWallah’s IPO, which saw muted subscription initially, signals broader caution for India’s edtech sector, which is facing declining market demand and revenue losses, with over 2,000 startups having shut down in the past five years.

    But it’s not just PhysicsWallah. More edtech companies are eyeing the IPO route, including Imarticus Learning, Upgrad, Eruditus, and other education-related firms like Simplilearn and Leverage Edu.

    Just recently, B2B education platform Crizac debuted on the Indian stock market, raising £74m in its IPO, with the listing expected to support the company’s expansion into new markets and services.

    With funding in the edtech space rising five-fold in H1 2025, as per reports, industry insiders expect the next 12-24 months to bring a handful of IPOs.

    “Edtech has gone through its ups and downs and has never been a very predictable sector. There are very few companies that can actually go public successfully,” Nikhil Barshikar, CEO and co-founder of Imarticus Learning, told The Entrepreneur in a recent interview.

    “But now, more companies are focusing on cutting unprofitable or unpredictable business segments. My gut feeling is that in the next 24 months, we will see at least five to 10 listings from the edtech vertical.”

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  • Ambow Education Pushes AI Agenda Abroad While Raising Red Flags in the U.S.

    Ambow Education Pushes AI Agenda Abroad While Raising Red Flags in the U.S.

    Ambow Education, once linked to the Chinese Communist Party (CCP), is aggressively exporting its AI-driven education platform, HybriU™, to global markets—even as its footprint in the United States remains small and opaque. The company’s international ambitions raise questions about transparency, governance, and potential political influence.

    Ambow’s recent partnership with Bamboo System Technology aims to scale HybriU’s AI-education ecosystem across Southeast Asia, touting a deeper technology stack and expanded distribution. Yet outside China, Ambow’s record is spotty, and critics warn that the firm’s rapid expansion may outpace oversight or educational rigor.

    In the U.S., Ambow reportedly explored a partnership with Colorado State University (CSU), though details remain murky. Engagements like these, combined with its involvement with specialized institutions such as the NewSchool of Architecture and Design, suggest a strategy of targeting schools where oversight may be limited and innovation promises can be oversold.

    Despite these global ambitions, Ambow’s American presence is modest: a small office tucked in Cupertino, California, suggesting that the company may be testing the waters in the U.S. market rather than committing to a major operational footprint.

    For U.S. institutions, Ambow’s history—including prior CCP ties—and its small domestic footprint present a cautionary tale: a company that combines ambitious AI promises with a murky past and minimal transparency. Ambow’s expansion illustrates a growing challenge in higher education: navigating partnerships with foreign edtech firms while safeguarding institutional integrity, regulatory compliance, and academic quality.

    Sources: Ambow Education press releases, Bamboo System Technology announcements, Higher Education Inquirer reporting, corporate filings.

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  • Can AI Keep Students Motivated, Or Does it Do the Opposite? – The 74

    Can AI Keep Students Motivated, Or Does it Do the Opposite? – The 74

    Imagine a student using a writing assistant powered by a generative AI chatbot. As the bot serves up practical suggestions and encouragement, insights come more easily, drafts polish up quickly and feedback loops feel immediate. It can be energizing. But when that AI support is removed, some students report feeling less confident or less willing to engage.

    These outcomes raise the question: Can AI tools genuinely boost student motivation? And what conditions can make or break that boost?

    As AI tools become more common in classroom settings, the answers to these questions matter a lot. While tools for general use such as ChatPGT or Claude remain popular, more and more students are encountering AI tools that are purpose-built to support learning, such as Khan Academy’s Khanmigo, which personalizes lessons. Others, such as ALEKS, provide adaptive feedback. Both tools adjust to a learner’s level and highlight progress over time, which helps students feel capable and see improvement. But there are still many unknowns about the long-term effects of these tools on learners’ progress, an issue I continue to study as an educational psychologist.

    What the evidence shows so far

    Recent studies indicate that AI can boost motivation, at least for certain groups, when deployed under the right conditions. A 2025 experiment with university students showed that when AI tools delivered a high-quality performance and allowed meaningful interaction, students’ motivation and their confidence in being able to complete a task – known as self-efficacy – increased.

    For foreign language learners, a 2025 study found that university students using AI-driven personalized systems took more pleasure in learning and had less anxiety and more self-efficacy compared with those using traditional methods. A recent cross-cultural analysis with participants from Egypt, Saudi Arabia, Spain and Poland who were studying diverse majors suggested that positive motivational effects are strongest when tools prioritize autonomy, self-direction and critical thinking. These individual findings align with a broader, systematic review of generative AI tools that found positive effects on student motivation and engagement across cognitive, emotional and behavioral dimensions.

    A forthcoming meta-analysis from my team at the University of Alabama, which synthesized 71 studies, echoed these patterns. We found that generative AI tools on average produce moderate positive effects on motivation and engagement. The impact is larger when tools are used consistently over time rather than in one-off trials. Positive effects were also seen when teachers provide scaffolding, when students maintain agency in how they use the tool, and when the output quality is reliable.

    But there are caveats. More than 50 of the studies we reviewed did not draw on a clear theoretical framework of motivation, and some used methods that we found were weak or inappropriate. This raises concerns about the quality of the evidence and underscores how much more careful research is needed before one can say with confidence that AI nurtures students’ intrinsic motivation rather than just making tasks easier in the moment.

    When AI backfires

    There is also research that paints a more sobering picture. A large study of more than 3,500 participants found that while human–AI collaboration improved task performance, it reduced intrinsic motivation once the AI was removed. Students reported more boredom and less satisfaction, suggesting that overreliance on AI can erode confidence in their own abilities.

    Another study suggested that while learning achievement often rises with the use of AI tools, increases in motivation are smaller, inconsistent or short-lived. Quality matters as much as quantity. When AI delivers inaccurate results, or when students feel they have little control over how it is used, motivation quickly erodes. Confidence drops, engagement fades and students can begin to see the tool as a crutch rather than a support. And because there are not many long-term studies in this field, we still do not know whether AI can truly sustain motivation over time, or whether its benefits fade once the novelty wears off.

    Not all AI tools work the same way

    The impact of AI on student motivation is not one-size-fits-all. Our team’s meta-analysis shows that, on average, AI tools do have a positive effect, but the size of that effect depends on how and where they are used. When students work with AI regularly over time, when teachers guide them in using it thoughtfully, and when students feel in control of the process, the motivational benefits are much stronger.

    We also saw differences across settings. College students seemed to gain more than younger learners, STEM and writing courses tended to benefit more than other subjects, and tools designed to give feedback or tutoring support outperformed those that simply generated content.

    There is also evidence that general-use tools like ChatGPT or Claude do not reliably promote intrinsic motivation or deeper engagement with content, compared to learning-specific platforms such as ALEKS and Khanmigo, which are more effective at supporting persistence and self-efficacy. However, these tools often come with subscription or licensing costs. This raises questions of equity, since the students who could benefit most from motivational support may also be the least likely to afford it.

    These and other recent findings should be seen as only a starting point. Because AI is so new and is changing so quickly, what we know today may not hold true tomorrow. In a paper titled The Death and Rebirth of Research in Education in the Age of AI, the authors argue that the speed of technological change makes traditional studies outdated before they are even published. At the same time, AI opens the door to new ways of studying learning that are more participatory, flexible and imaginative. Taken together, the data and the critiques point to the same lesson: Context, quality and agency matter just as much as the technology itself.

    Why it matters for all of us

    The lessons from this growing body of research are straightforward. The presence of AI does not guarantee higher motivation, but it can make a difference if tools are designed and used with care and understanding of students’ needs. When it is used thoughtfully, in ways that strengthen students’ sense of competence, autonomy and connection to others, it can be a powerful ally in learning.

    But without those safeguards, the short-term boost in performance could come at a steep cost. Over time, there is the risk of weakening the very qualities that matter most – motivation, persistence, critical thinking and the uniquely human capacities that no machine can replace.

    For teachers, this means that while AI may prove a useful partner in learning, it should never serve as a stand-in for genuine instruction. For parents, it means paying attention to how children use AI at home, noticing whether they are exploring, practicing and building skills or simply leaning on it to finish tasks. For policymakers and technology developers, it means creating systems that support student agency, provide reliable feedback and avoid encouraging overreliance. And for students themselves, it is a reminder that AI can be a tool for growth, but only when paired with their own effort and curiosity.

    Regardless of technology, students need to feel capable, autonomous and connected. Without these basic psychological needs in place, their sense of motivation will falter – with or without AI.

    This article is republished from The Conversation under a Creative Commons license. Read the original article.

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  • Funding technology initiatives in uncertain times

    Funding technology initiatives in uncertain times

    Key points:

    Recent policy shifts have caused significant uncertainty in K-12 education funding, especially for technology initiatives. It’s no longer business as usual. Schools can’t rely on the same federal operating funds they’ve traditionally used to purchase technology or support innovation. This unpredictability has pushed school districts to explore creative, nontraditional ways to fund technology initiatives. To succeed, it’s important to understand how to approach these funding opportunities strategically.

    How to find funding

    Despite the challenges, there are still many grants available to support education initiatives and technology projects. Start with an online search using key terms related to your project–for example, “virtual reality,” “virtual field trips,” or “career and technical education.”

    Explore national organizations like the Bill & Melinda Gates Foundation or Project Tomorrow and consider potential local funding sources. Local organizations such as Rotary or Kiwanis clubs can be powerful allies in helping to fund projects. The local library and city or county government may also offer grants or partnership opportunities. Schools should also reach out to locally-headquartered businesses, many of which have community outreach or corporate social responsibility goals that align with supporting local education.

    Colleges and universities are another valuable resource. They may be conducting research that aligns with your school’s technology project. Building relationships with these institutions and organizations can put your school “in the right place at the right time” when new funding opportunities arise.

    Strategies to win the grant

    Once potential funding sources are identified, the next step is crafting a compelling proposal. Consider the following strategies to strengthen your application.

    1. Focus on the “how and why,” not just the “what.” If your school is seeking funds to buy hardware, don’t simply say, “Here’s what we want to buy.” Instead, frame it as, “Here’s how this project will improve student learning and why it matters.” Funders want to see the impact their support will have on outcomes. The more clearly a proposal connects technology to learning gains, the stronger it will be.

    2. Highlight the research. Use evidence to validate your project’s value. For example, if a school plans to purchase virtual reality headsets, cite studies showing that VR improves knowledge retention, engagement, and comprehension compared to traditional instruction. Demonstrating that the technology is research-backed helps funders feel confident in their investment.

    3. Paint a picture. Bring the project to life. Describe what students will experience and how they’ll benefit. For example: “When students put on the headset, they aren’t just reading about ancient civilizations, they’re walking through them.” Vivid descriptions help reviewers visualize the impact and believe in your vision.

    Eight questions to consider when applying for a grant

    Use these guiding questions to sharpen your proposal and ensure a strong foundation for implementation and long-term success.

    1. What is the goal? Clearly define what students will be able to do as a result of the project. Use action-orientated language: “Students will be able to…”
    2. Is the technology effective? Support your proposal with evidence such as whitepapers, case studies, or research that can demonstrate proven impact.
    3. How will the technology impact these specific students? Emphasize what makes your school or district unique, whether it’s serving a rural, urban, or high-poverty community and how this technology addresses those specific needs.
    4. What is the scope of the application? Specify whether the project involves elementary school, secondary school, or a specific subject or program like a STEM lab.
    5. How will success be measured? Too often schools reach the end of a project without a plan to track results. Plan your evaluation from the start. Track key metrics such as attendance, disciplinary data, academic performance, or engagement surveys, both before and after implementation to demonstrate results.
    6. What are your budgetary needs? Include all associated costs, including professional development and substitute coverage for teacher training.
    7. What happens after the grant is over? If you plan to use the technology for multiple years, apply for a multi-year grant rather than assuming future funding will appear. Sustainability is key.
    8. How will success be celebrated and communicated to stakeholders? Share results with the community and stakeholders. Host events recognizing teachers, students, and partners. Invite local media and highlight your funding partners–they’re not just donors, but partners in student success.

    Moving forward with confidence

    Education funding will likely remain uncertain in the years ahead. However, by being intentional about where to look for funds, how to frame proposals, and how to measure and share impact, schools can continue to implement innovative technology initiatives that elevate teaching and learning.

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