Category: generation

  • How school IT teams lock down QR-based SSO without hurting usability

    How school IT teams lock down QR-based SSO without hurting usability

    Key points:

    Schools can keep QR logins safe and seamless by blending clear visual cues, ongoing user education, and risk-based checks behind the scenes

    QR-based single sign-on (SSO) is fast becoming a favorite in schools seeking frictionless access, especially for bring-your-own-device (BYOD) environments.

    The BYOD in education market hit $15.2 billion in 2024 and is projected to grow at a 17.4 percent CAGR from 2025 to 2033, driven by the proliferation of digital learning and personal smart devices in schools.

    However, when attackers wrap malicious links into QR codes, school IT leaders must find guardrails that preserve usability without turning every login into a fortress.

    Phishing via QR codes, a tactic now known as “quishing,” is where attackers embed malicious QR codes in emails or posters, directing pupils, faculty, and staff to fake login pages. Over four out of five K-12 schools experienced cyber threat impacts with human-targeted threats like phishing or quishing, exceeding other techniques by 45 percent.

    Because QR codes hide or obscure the URL until after scanning, they evade many traditional email spam filters and link scanners.

    Below are three strategies to get that balance between seamless logins and safe digital environments right.

    How to look out for visual signals

    Approximately 60 percent of emails containing QR codes are classified as spam. Branded content, such as the school or district logo, consistent with the look and feel of other web portals and student apps, will help students identify a legitimate QR over a malicious one.

    Frontier research shows that bold colors and clear iconography can increase recognition speed by up to 40 percent. This is the kind of split-second reassurance a student or teacher needs before entering credentials on a QR-based login screen.

    Training your users to look for the full domain or service name, such as “sso.schooldistrict.edu” under the QR, is good practice to avoid quishing attacks, school-related or not. However, this will be trickier for younger students.

    The Frontier report demonstrates how younger children rely more heavily on color and icon cues than on text or abstract symbols. For K-12 students, visual trust cues such as school crests, mascots, or familiar color schemes offer a cognitive shortcut to legitimacy.

    Still, while logos and “Secured by…” badges are there to reassure users, attackers know this. Microsoft, Cisco Talos, and Palo Alto Unit42 have documented large-scale phishing campaigns where cybercriminals cloned Microsoft 365 and Okta login pages, complete with fake security seals, to harvest credentials.

    For schools rolling out QR-based SSO, pairing visible trust cues with dynamic watermarks unique to the institution makes it harder for attackers to replicate.

    User education on quishing risk

    Human error drives most breaches, particularly in K-12 schools. These environments handle a mix of pupils who are inexperienced with security risks and, therefore, are less likely to scrutinize QR codes, links, or credentials.

    Students and teachers must be taught the meaning of signs and the level of detail to consider in order to respond more quickly and correctly. A short digital literacy module about QR logins can dramatically cut phishing and quishing risk, reinforcing what legitimate login screens should look like. These should be repeated regularly for updates and to strengthen the retrieval and recognition of key visual cues.

    Research in cognitive psychology shows that repeated exposure can boost the strength of a memory by more than 30 percent, making cues harder to ignore and easier to recall. When teaching secure login habits, short, repeated micro-lessons–for example, 3-5 min videos with infographics–can boost test scores 10-20 percent. Researcher Piotr Wozniak suggests spacing reviews after 1 day, then 7 days, 16 days, 35 days, and later every 2-3 months.

    With proper education, students should instinctively not trust QRs received via text message or social media through unverified numbers or accounts. Encouraging the use of a Secure QR Code Scanner app, at least for staff and perhaps older students, can be helpful, because it will verify the embedded URL before a user opens it.

    When to step up authentication after a scan

    QR codes make logging in fast, but after a scan, you don’t have to give full access right away. Instead, schools can use these scans as the first factor and decide whether to require more proof before granting access, depending on risk signals.

    For example, if a student or teacher scans the QR code with a phone or tablet that’s not on the school’s “known device” list, the system should prompt for a PIN, passphrase, or MFA push before completing login. The same applies to sensitive systems that include student data or financial information.

    Microsoft’s 2024 Digital Defense Report shows that adding MFA blocks 99.2 percent of credential attacks. That means a simple SMS or push-based MFA can drastically slash phishing and quishing success rates. By adding a quick MFA prompt only when risk signals spike, school IT teams preserve the speed of QR logins without giving up security.

    Schools can also apply cloud-security platforms to strengthen QR-based SSO without sacrificing ease of use. These tools sit behind the scenes, continuously monitoring Google Workspace, Microsoft 365, and other education apps for unusual logins, risky devices, or policy violations.

    By automatically logging every QR login event, including device, time, and location, and triggering alerts when something looks off, IT teams gain visibility and early warning without adding extra friction for staff or students. This approach lets schools keep QR sign-ins fast and familiar with risk-based controls and data protection running in the background.

    Schools can keep QR logins safe and seamless by blending clear visual cues, ongoing user education, and risk-based checks behind the scenes. Students and staff learn to recognize authentic screens, while IT teams add extra verification only when behavior looks risky. Simultaneously, continuous monitoring tracks every scan to catch problems early and improve education resources, all without slowing anyone down.

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  • How Windows 11 is powering the next generation of K-12 innovation

    How Windows 11 is powering the next generation of K-12 innovation

    Key points:

    As school districts navigate a rapidly evolving digital landscape, IT and academic leaders face a growing list of challenges–from hybrid learning demands and complex device ecosystems to rising cybersecurity threats and accessibility expectations. To stay ahead, districts need more than incremental upgrades–they need a secure, intelligent, and adaptable technology foundation.

    That’s the focus of the new e-book, Smarter, Safer, and Future-Ready: A K-12 Guide to Migrating to Windows 11. This resource takes an in-depth look at how Windows 11 can help school districts modernize their learning environments, streamline device management, and empower students and educators with AI-enhanced tools designed specifically for education.

    Readers will discover how Windows 11:

    • Protects district data with built-in, chip-to-cloud security that guards against ransomware, phishing, and emerging cyberattacks.
    • Simplifies IT management through automated updates, intuitive deployment tools, and centralized control–freeing IT staff to focus on innovation instead of maintenance.
    • Drives inclusivity and engagement with enhanced accessibility features, flexible interfaces, and AI-powered personalization that help every learner succeed.
    • Supports hybrid and remote learning with seamless collaboration tools and compatibility across a diverse range of devices.

    The e-book also outlines practical strategies for planning a smooth Windows 11 migration–whether upgrading existing systems or introducing new devices–so institutions can maximize ROI while minimizing disruption.

    For CIOs, IT directors, and district technology strategists, this guide provides a blueprint for turning technology into a true driver of academic excellence, operational efficiency, and district resilience.

    Download the e-book today to explore how Windows 11 is helping K-12 districts become smarter, safer, and more future-ready than ever before.

    Laura Ascione
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  • 4 ways AI is empowering the next generation of great teachers

    4 ways AI is empowering the next generation of great teachers

    Key points:

    In education, we often talk about “meeting the moment.” Our current moment presents us with both a challenge and an opportunity: How can we best prepare and support our teachers as they navigate increasingly complex classrooms while also dealing with unprecedented burnout and shortages within the profession?

    One answer could lie in the thoughtful integration of artificial intelligence to help share feedback with educators during training. Timely, actionable feedback can support teacher development and self-efficacy, which is an educator’s belief that they will make a positive impact on student learning. Research shows that self-efficacy, in turn, reduces burnout, increases job satisfaction, and supports student achievement. 

    As someone who has spent nearly two decades supporting new teachers, I’ve witnessed firsthand how practical feedback delivered quickly and efficiently can transform teaching practice, improve self-efficacy, and support teacher retention and student learning.

    AI gives us the chance to deliver this feedback faster and at scale.

    A crisis demanding new solutions

    Teacher shortages continue to reach critical levels across the country, with burnout cited as a primary factor. A recent University of Missouri study found that 78 percent of public school teachers have considered quitting their profession since the pandemic. 

    Many educators feel overwhelmed and under-supported, particularly in their formative years. This crisis demands innovative solutions that address both the quality and sustainability of teaching careers.

    What’s often missing in teacher development and training programs is the same element that drives improvement in other high-performance fields: immediate, data-driven feedback. While surgeons review recordings of procedures and athletes get to analyze game footage, teachers often receive subjective observations weeks after teaching a lesson, if they receive feedback at all. Giving teachers the ability to efficiently reflect on AI-generated feedback–instead of examining hours of footage–will save time and potentially help reduce burnout.

    The transformative potential of AI-enhanced feedback

    Recently, Relay Graduate School of Education completed a pilot program with TeachFX using AI-powered feedback tools that showed remarkable promise for our teacher prep work. Our cohort of first- and second-year teachers more than doubled student response opportunities, improved their use of wait time, and asked more open-ended questions. Relay also gained access to objective data on student and teacher talk time, which enhanced our faculty’s coaching sessions.

    Program participants described the experience as “transformative,” and most importantly, they found the tools both accessible and effective.

    Here are four ways AI can support teacher preparation through effective feedback:

    1. Improving student engagement through real-time feedback

    Research reveals that teachers typically dominate classroom discourse, speaking for 70-80 percent of class time. This imbalance leaves little room for student voices and engagement. AI tools can track metrics such as student-versus-teacher talk time in real time, helping educators identify patterns and adjust their instruction to create more interactive, student-centered classrooms.

    One participant in the TeachFX pilot said, “I was surprised to learn that I engage my students more than I thought. The data helped me build on what was working and identify opportunities for deeper student discourse.”

    2. Freeing up faculty to focus on high-impact coaching

    AI can generate detailed transcripts and visualize classroom interactions, allowing teachers to reflect independently on their practice. This continuous feedback loop accelerates growth without adding to workloads.

    For faculty, the impact is equally powerful. In our recent pilot with TeachFX, grading time on formative observation assignments dropped by 60 percent, saving up to 30 hours per term. This reclaimed time was redirected to what matters most: meaningful mentoring and modeling of best practices with aspiring teachers.

    With AI handling routine analysis, faculty could consider full class sessions rather than brief segments, identifying strategic moments throughout lessons for targeted coaching. 

    The human touch remains essential, but AI amplifies its reach and impact.

    3. Scaling high-quality feedback across programs

    What began as a small experiment has grown to include nearly 800 aspiring teachers. This scalability can more quickly reduce equity issues in teacher preparation.

    Whether a teaching candidate is placed in a rural school or urban district, AI can ensure consistent access to meaningful, personalized feedback. This scalable approach helps reduce the geographic disparities that often plague teacher development programs.

    Although AI output must be checked so that any potential biases that come through from the underlying datasets can be removed, AI tools also show promise for reducing bias when used thoughtfully. For example, AI can provide concrete analysis of classroom dynamics based on observable actions such as talk time, wait time, and types of questions asked. While human review and interpretation remains essential–to spot check for AI hallucinations or other inaccuracies and interpret patterns in context–purpose-built tools with appropriate guardrails can help deliver more equitable support.

    4. Helping teachers recognize and build on their strengths

    Harvard researchers found that while AI tools excel at using supportive language to appreciate classroom projects–and recognize the work that goes into each project–students who self-reported high levels of stress or low levels of enjoyment said the feedback was often unhelpful or insensitive. We must be thoughtful and intentional about the AI-powered feedback we share with students.

    AI can also help teachers see what they themselves are doing well, which is something many educators struggle with. This strength-based approach builds confidence and resilience. As one TeachFX pilot participant noted, “I was surprised at the focus on my strengths as well and how to improve on them. I think it did a good job of getting good details on my conversation and the intent behind it. ”

    I often tell new teachers: “You’ll never see me teach a perfect lesson because perfect lessons don’t exist. I strive to improve each time I teach, and those incremental gains add up for students.” AI helps teachers embrace this growth mindset by making improvement tangible and achievable.

    The moment is now

    The current teacher shortage is a crisis, but it’s also an opportunity to reimagine how we support teachers.

    Every student deserves a teacher who knows how to meaningfully engage them. And every teacher deserves timely, actionable feedback.  The moment to shape AI’s role in teacher preparation is now. Let’s leverage these tools to help develop confident, effective teachers who will inspire the next generation of learners.

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  • Middle and high school students need education, career guidance

    Middle and high school students need education, career guidance

    Key points:

    Students need more support around education paths and career options, including hands-on experiences, according to a new nationwide survey from the nonprofit American Student Assistance.

    The survey of more than of 3,000 students in grades 7-12 offers insights into teens’ plans after high school. The research, Next Steps: An Analysis of Teens’ Post-High School Plans, uncovers evolving trends in teenagers’ attitudes, perceptions, and decision-making about their post-high school plans.

    “This analysis of teens’ post high school plans reveals shifts in students’ thinking and planning. We need to change the way we help young people navigate the complex and evolving landscape of education and career options,” said Julie Lammers, Executive Vice President of ASA. “Starting in middle school, our young people need early access to opportunities that empowers them to explore careers that match their interests and strengths; hands-on, skills-based experiences in high school; and information and resources to navigate their path to postsecondary education and career. All of this will enable them to graduate informed, confident, and empowered about what they want to do with their futures.” 

    The survey offers notable findings regarding parental influence on teens’ planning, perceptions of nondegree pathways like trade or technical school, apprenticeships, and certificate programs, and a continued drop-off in kids’ plans to go to college immediately after high school graduation.

    Key findings include:

    Teens’ interest in college is down while nondegree paths are on the rise. Nearly half of all students said they aren’t interested in going to college, with just 45 percent saying two- or four-year college was their most likely next step. Meanwhile 38 percent of teens said they were considering trade or technical schools, apprenticeships, and technical bootcamp programs, although only 14 percent say that such a path is their most likely next step.

    Parents are one of teens’ biggest influencers—and they’re skeptical of nondegree options. A vast majority (82 percent) of teens said their parents agree with their plans to go to four-year college, while only 66 percent said parents supported plans to pursue a nondegree route. In fact, teens reported parents were actually more supportive (70 percent) of foregoing education altogether right after high school vs. pursuing a nondegree program.    

    A concerning number of young people don’t have plans for further education or training. Nearly one quarter (23 percent) said they have no immediate plans to continue formal education or training upon graduation. Teens not planning to continue education after high school indicated they were thinking of beginning full-time work, entering a family business, starting their own business, or joining the military.

    Teens, and especially middle schoolers, are feeling better prepared to plan their futures. In recent years policymakers, educators, employers, and other stakeholders have pushed to make career-connected learning a more prominent feature of our education to workforce system. Survey results say it’s paying off. Agreement with the statement “my school provides me with the right resources to plan for my next steps after high school” grew from just 59 percent in 2018, to 63 percent in 2021, to 82 percent in 2024. Notably, the largest increase occurred at the middle school level, where confidence in in-school planning resources jumped from 60 percent in 2018 to 90 percent in 2024.

    Girls are much more likely to plan to attend college than boys. Boys and girls are equally interested in college when they’re in middle school, but by high school, more than half (53 percent) of girls say they’re likely to attend college compared to just 39 percent of boys. The gender gap is smaller when it comes to nondegree pathways: 15 percent of high school boys say they will likely attend vocational/trade school, participate in an apprenticeship, or take a certificate program, compared to 10 percent of high school girls.

    City kids aren’t as “into” college. Urban teens were least likely (39 percent) to say they plan to go to college. Suburban teens are much more likely to plan to attend a college program (64 percent) while 46 percent of rural students planned on college.

    Students of color are college bound. More than half (54 percent) of Black teens and 51 percent of Hispanic youth are planning to go to college, compared to 42 percent of White teens.  

    This press release originally appeared online.

    eSchool News Staff
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  • Helping students evaluate AI-generated content

    Helping students evaluate AI-generated content

    Key points:

    Finding accurate information has long been a cornerstone skill of librarianship and classroom research instruction. When cleaning up some materials on a backup drive, I came across an article I wrote for the September/October 1997 issue of Book Report, a journal directed to secondary school librarians. A generation ago, “asking the librarian” was a typical and often necessary part of a student’s research process. The digital tide has swept in new tools, habits, and expectations. Today’s students rarely line up at the reference desk. Instead, they consult their phones, generative AI bots, and smart search engines that promise answers in seconds. However, educators still need to teach students the ability to be critical consumers of information, whether produced by humans or generated by AI tools.

    Teachers haven’t stopped assigning projects on wolves, genetic engineering, drug abuse, or the Harlem Renaissance, but the way students approach those assignments has changed dramatically. They no longer just “surf the web.” Now, they engage with systems that summarize, synthesize, and even generate research responses in real time.

    In 1997, a keyword search might yield a quirky mix of werewolves, punk bands, and obscure town names alongside academic content. Today, a student may receive a paragraph-long summary, complete with citations, created by a generative AI tool trained on billions of documents. To an eighth grader, if the answer looks polished and is labeled “AI-generated,” it must be true. Students must be taught how AI can hallucinate or simply be wrong at times.

    This presents new challenges, and opportunities, for K-12 educators and librarians in helping students evaluate the validity, purpose, and ethics of the information they encounter. The stakes are higher. The tools are smarter. The educator’s role is more important than ever.

    Teaching the new core four

    To help students become critical consumers of information, educators must still emphasize four essential evaluative criteria, but these must now be framed in the context of AI-generated content and advanced search systems.

    1. The purpose of the information (and the algorithm behind it)

    Students must learn to question not just why a source was created, but why it was shown to them. Is the site, snippet, or AI summary trying to inform, sell, persuade, or entertain? Was it prioritized by an algorithm tuned for clicks or accuracy?

    A modern extension of this conversation includes:

    • Was the response written or summarized by a generative AI tool?
    • Was the site boosted due to paid promotion or engagement metrics?
    • Does the tool used (e.g., ChatGPT, Claude, Perplexity, or Google’s Gemini) cite sources, and can those be verified?

    Understanding both the purpose of the content and the function of the tool retrieving it is now a dual responsibility.

    2. The credibility of the author (and the credibility of the model)

    Students still need to ask: Who created this content? Are they an expert? Do they cite reliable sources? They must also ask:

    • Is this original content or AI-generated text?
    • If it’s from an AI, what sources was it trained on?
    • What biases may be embedded in the model itself?

    Today’s research often begins with a chatbot that cannot cite its sources or verify the truth of its outputs. That makes teaching students to trace information to original sources even more essential.

    3. The currency of the information (and its training data)

    Students still need to check when something was written or last updated. However, in the AI era, students must understand the cutoff dates of training datasets and whether search tools are connected to real-time information. For example:

    • ChatGPT’s free version (as of early 2025) may only contain information up to mid-2023.
    • A deep search tool might include academic preprints from 2024, but not peer-reviewed journal articles published yesterday.
    • Most tools do not include digitized historical data that is still in manuscript form. It is available in a digital format, but potentially not yet fully useful data.

    This time gap matters, especially for fast-changing topics like public health, technology, or current events.

    4. The wording and framing of results

    The title of a website or academic article still matters, but now we must attend to the framing of AI summaries and search result snippets. Are search terms being refined, biased, or manipulated by algorithms to match popular phrasing? Is an AI paraphrasing a source in a way that distorts its meaning? Students must be taught to:

    • Compare summaries to full texts
    • Use advanced search features to control for relevance
    • Recognize tone, bias, and framing in both AI-generated and human-authored materials

    Beyond the internet: Print, databases, and librarians still matter

    It is more tempting than ever to rely solely on the internet, or now, on an AI chatbot, for answers. Just as in 1997, the best sources are not always the fastest or easiest to use.

    Finding the capital of India on ChatGPT may feel efficient, but cross-checking it in an almanac or reliable encyclopedia reinforces source triangulation. Similarly, viewing a photo of the first atomic bomb on a curated database like the National Archives provides more reliable context than pulling it from a random search result. With deepfake photographs proliferating the internet, using a reputable image data base is essential, and students must be taught how and where to find such resources.

    Additionally, teachers can encourage students to seek balance by using:

    • Print sources
    • Subscription-based academic databases
    • Digital repositories curated by librarians
    • Expert-verified AI research assistants like Elicit or Consensus

    One effective strategy is the continued use of research pathfinders that list sources across multiple formats: books, journals, curated websites, and trusted AI tools. Encouraging assignments that require diverse sources and source types helps to build research resilience.

    Internet-only assignments: Still a trap

    Then as now, it’s unwise to require students to use only specific sources, or only generative AI, for research. A well-rounded approach promotes information gathering from all potentially useful and reliable sources, as well as information fluency.

    Students must be taught to move beyond the first AI response or web result, so they build the essential skills in:

    • Deep reading
    • Source evaluation
    • Contextual comparison
    • Critical synthesis

    Teachers should avoid giving assignments that limit students to a single source type, especially AI. Instead, they should prompt students to explain why they selected a particular source, how they verified its claims, and what alternative viewpoints they encountered.

    Ethical AI use and academic integrity

    Generative AI tools introduce powerful possibilities including significant reductions, as well as a new frontier of plagiarism and uncritical thinking. If a student submits a summary produced by ChatGPT without review or citation, have they truly learned anything? Do they even understand the content?

    To combat this, schools must:

    • Update academic integrity policies to address the use of generative AI including clear direction to students as to when and when not to use such tools.
    • Teach citation standards for AI-generated content
    • Encourage original analysis and synthesis, not just copying and pasting answers

    A responsible prompt might be: “Use a generative AI tool to locate sources, but summarize their arguments in your own words, and cite them directly.”

    In closing: The librarian’s role is more critical than ever

    Today’s information landscape is more complex and powerful than ever, but more prone to automation errors, biases, and superficiality. Students need more than access; they need guidance. That is where the school librarian, media specialist, and digitally literate teacher must collaborate to ensure students are fully prepared for our data-rich world.

    While the tools have evolved, from card catalogs to Google searches to AI copilots, the fundamental need remains to teach students to ask good questions, evaluate what they find, and think deeply about what they believe. Some things haven’t changed–just like in 1997, the best advice to conclude a lesson on research remains, “And if you need help, ask a librarian.”

    Steven M. Baule, Ed.D., Ph.D.
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  • Career-connected learning builds a more employable, future-ready generation

    Career-connected learning builds a more employable, future-ready generation

    Key points:

    Abraham Maslow’s Hierarchy of Needs is a fundamental psychological theory that explains human motivation. At its base are physiological and safety needs, followed by love and belonging, esteem, and self-actualization at the peak. While this theory is universally recognized for understanding personal growth in human development, it can also be applied to an individual’s educational journey.

    Had Maslow been an educator, he might have reconsidered the foundation of our education system to one that would align student aptitudes and interests to sustain the rapidly changing workforce. Consider the phrase, “If you give a man a fish, he will be hungry tomorrow. If you teach a man to fish, he will be richer forever.” It could be applied here, too. If we pair students’ strengths and aptitudes with in-demand careers through personalized learning, we are ensuring the success of our students and tomorrow’s workforce, thus realigning motivation and fulfilling the individuals Hierarchy of Needs.

    States have begun investing in career-connected learning (CCL) to connect learning to career pathways as a means to boost employability and inevitably support businesses and the local economy.

    Students are rarely guided toward career paths that match their aptitudes (or natural talents). But if our districts began doing so, we would likely see higher levels of employment and job satisfaction, and lower economic instability and gaps in the job market. This could ultimately impact our communities and the national economy at large.

    While work is being done, there is still plenty to do as the career exposure gap grows, particularly in IT, manufacturing, finance, and more. It’s time for educational stakeholders–policy, K-12 decision makers, guidance counselors and parents alike–to rethink how we prepare young people for their futures.

    The foundation: Addressing basic needs first

    It has become ever so clear that every student, starting as early as junior high, should have the opportunity to take an aptitude assessment. Researchers have identified that students’ natural aptitudes solidify by age 14, forming the foundation for understanding what they’re inherently good at. If Maslow were designing today’s educational experience, this would be the starting point–helping students discover their strengths and setting the stage for growth.

    Students’ ability to learn, and therefore their level of education, has always shown to have direct correlations to their physical well-being and sense of security. Often, students feel discouraged and unengaged in their coursework because it doesn’t connect to their innate strengths, making it harder to feel confident in their abilities and motivated to tap into potential future pathways for employment. 

    When these foundational supports are provided, students are likely to feel ready to explore career opportunities and develop the workplace-ready skills needed in today’s economy.

    Building confidence: Belonging and self-esteem in education

    Students thrive when they feel a sense of belonging–both in the classroom and in the broader community. They also need to build self-esteem by experiencing achievement, recognition, and purpose. Connecting education with natural aptitudes and real-world career experiences can foster this sense of belonging and achievement.

    Encouraging students to participate in internships, apprenticeships, or mentorship programs can bridge the connection between their talents and real-world job opportunities. This fosters a sense of community and a personal identity tied to their future careers and success. CCL helps students understand that they have valuable contributions to make, both in school and beyond, which often leads to students taking ownership of their educational journeys.

    Path to self-actualization: Unlocking career potential

    At the pinnacle of Maslow’s hierarchy is self-actualization. Students are no longer just attending school to pass tests–they are actively seeking knowledge and skills to help them achieve their dreams. Students are often more motivated when they see the relevance of their learning, especially when they understand how it connects to their future aspirations.

    Tech solutions have helped districts provide personalized career assessments and work-based learning experiences for students, which empowers them to explore their career interests in-depth. When we offer students opportunities for hands-on exploration and real-world application, they find greater fulfillment in their educational experiences and a stronger desire to achieve higher learning goals.

    The crisis: How the current system is failing to meet Maslow’s vision

    Most high school graduates (75 percent) do not feel prepared to make college or career decisions after graduation.

    Simultaneously, 40 percent of employers stated that educational institutions do not sufficiently prepare students for their future careers, and 90 percent emphasized the need for stronger partnerships between K-12 schools and postsecondary institutions.

    Despite the clear benefits of linking education to career pathways, more often schools solely focus on academic success, neglecting the broader skills students need to thrive in the workforce. And CCL is frequently seen as a nice-to-have, rather than an essential piece of education. The growing career exposure gap is evidence of this disconnect.

    Closing this disconnect begins with helping people understand where to invest in their skills. 

    A new model: Career-connected learning as the solution

    By ensuring basic needs are met, fostering belonging and esteem, and unlocking students’ potential, we equip students with the real-world skills they need to succeed. CCL benefits every student and should be seen as an essential part of education, not just a nice-to-have.

    Personalized learning platforms, aptitude assessments, career identification, and skill-based learning tools provide the foundation for this transformation. But it’s the convergence among educators, employers, policymakers, and technology providers that will ultimately ensure that every student has the opportunity to realize their full potential. 

    My final thoughts: Maslow would remind us that education isn’t just about filling students’ heads with knowledge–it’s about inspiring them to dream, grow, and discover their limitless opportunities. This vision offers not just hope for individual students, but economic benefits for society as a whole.

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  • EY and Microsoft equip the next generation with AI skills

    EY and Microsoft equip the next generation with AI skills

    The EY organization and Microsoft announced this month the launch of the AI Skills Passport (AISP), which assists students aged 16 and older in learning about artificial intelligence (AI) technologies, and how to work with and apply them to various industries and careers. This free online program is part of an ongoing social impact collaboration focused on supporting young people and those furthest from opportunity to build the AI skills necessary to thrive in today’s AI economy.

    According to Randstad research, demand for AI skills in job postings has surged by 2,000%. However, a recent EY and TeachAI survey, with support from Microsoft, found that only 15% of Gen Z respondents feel fully satisfied with how their schools or employers are preparing them for the implications of AI and the use of AI tools. The AISP aims to bridge this gap by equipping learners with essential AI skills for the modern workplace, with a goal of upskilling one million individuals.

    The free online learning program is accessible on web and mobile platforms and participants can take the 10-hour course at their own pace to learn about key topics such as the fundamentals of AI, ethical considerations and its applications across business, sustainability and technology careers. By completing the course, participants will receive an EY and Microsoft certificate of completion to strengthen resumes and gain access to additional learning and employment resources.

    The EY organization and Microsoft have now successfully activated the course in the United States, United Kingdom, India, Italy, Greece, Belgium, S. Africa, Ireland, Switzerland, Cyprus, Australia, New Zealand, Fiji, Papua New Guinea, Sweden, China and India. Expansion plans are underway to roll out to additional countries through 2025 — and to translate to five languages.

    Together, the EY organization and Microsoft have collaborated on a multitude of programs to help empower job seekers and impact entrepreneurs with the skills needed for an AI-driven future, furthering the EY Ripples ambition to impact one billion lives by 2030.

    Other high-impact EY and Microsoft social programs include:

    • Microsoft Entrepreneurship for Positive Impact: This Microsoft program provides support to innovative tech-first entrepreneurs who are addressing our world’s most pressing challenges. The EY organization and Microsoft run a series of Skills Labs to support more than 100 entrepreneurs to date on key growth challenges identified, such as investment strategies, financial planning, environmental, social and governance (ESG) strategy and business resilience.
    • EY and Microsoft Green Skills Passport: A program aimed to help learners aged 16 and over develop skills to find green jobs and pursue opportunities in the growing green economy. To date, more than 46,000 learners have completed this free course and are on their way to a green skills career.
    • Future Skills Workshops (FSW): An EY offering to upskill young or underserved groups equipping them with knowledge to help them navigate a changing world. The “All about AI” module is the newest module and will be launched across Latin America through in-person delivery with the EY organization, Microsoft and Trust for Americas.

    Gillian Hinde, EY Global Corporate Responsibility Leader, says:

    “The EY and Microsoft collaboration is a powerful example of how organizations can come together to help drive meaningful social change and help shape the future with confidence. The AI Skills Passport program aims to equip young people and underserved communities with the AI experience needed to thrive in today’s digital age, while also sharing the skills necessary for tomorrow.”  

    Kate Behncken, Global Head of Microsoft Philanthropies, says:

    “Through this new initiative with EY, we’re helping young people build the AI skills they need to succeed in the evolving AI economy. By bridging the gap between education and employability, we’re creating opportunities for the next generation to contribute, innovate, and thrive in the new AI economy.”

    Learn more about the EY-Microsoft AI Skills Passport here.

    Kevin Hogan
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