Category: Digital Learning

  • Are we outsourcing our thinking to AI?

    Are we outsourcing our thinking to AI?

    Key points:

    I’ll admit that I use AI. I’ve asked it to help me figure out challenging Excel formulas that otherwise would have taken me 45 minutes and a few tutorials to troubleshoot. I’ve used it to help me analyze or organize massive amounts of information. I’ve even asked it to help me devise a running training program aligning with my goals and fitting within my schedule. AI is a fantastic tool–and that’s the point. It’s a tool, not a replacement for thinking.

    As AI tools become more capable, more intuitive, and more integrated into our daily lives, I’ve found myself wondering: Are we growing too dependent on AI to do our thinking for us?

    This question isn’t just philosophical. It has real consequences, especially for students and young learners. A recent study published in the journal Societies reports that people who used AI tools consistently showed a decline in critical thinking performance. In fact, “whether someone used AI tools was a bigger predictor of a person’s thinking skills than any other factor, including educational attainment.” That’s a staggering finding because it suggests that using AI might not just be a shortcut. It could be a cognitive detour.

    The atrophy of the mind

    The term “digital dementia” has been used to describe the deterioration of cognitive abilities as a result of over-reliance on digital devices. It’s a phrase originally associated with excessive screen time and memory decline, but it’s found new relevance in the era of generative AI. When we depend on a machine to generate our thoughts, answer our questions, or write our essays, what happens to the neural pathways that govern our own critical thinking? And will the upcoming era of agentic AI expedite this decline?

    Cognitive function, like physical fitness, follows the rule of “use it or lose it.” Just as muscles weaken without regular use, the brain’s ability to evaluate, synthesize, and critique information can atrophy when not exercised. This is especially concerning in the context of education, where young learners are still building those critical neural pathways.

    In short: Students need to learn how to think before they delegate that thinking to a machine.

    Can you still think critically with AI?

    Yes, but only if you’re intentional about it.

    AI doesn’t relieve you of the responsibility to think–in many cases, it demands even more critical thinking. AI produces hallucinations, falsifies claims, and can be misleading. If you blindly accept AI’s output, you’re not saving time, you’re surrendering clarity.

    Using AI effectively requires discernment. You need to know what you’re asking, evaluate what you’re given, and verify the accuracy of the result. In other words, you need to think before, during, and after using AI.

    The “source, please” problem

    One of the simplest ways to teach critical thinking is also the most annoying–just ask my teenage daughter. When she presents a fact or claim that she saw online, I respond with some version of: “What’s your source?” It drives her crazy, but it forces her to dig deeper, check assumptions, and distinguish between fact and fiction. It’s an essential habit of mind.

    But here’s the thing: AI doesn’t always give you the source. And when it does, sometimes it’s wrong, or the source isn’t reputable. Sometimes it requires a deeper dive (and a few more prompts) to find answers, especially to complicated topics. AI often provides quick, confident answers that fall apart under scrutiny.

    So why do we keep relying on it? Why are AI responses allowed to settle arguments, or serve as “truth” for students when the answers may be anything but?

    The lure of speed and simplicity

    It’s easier. It’s faster. And let’s face it: It feels like thinking. But there’s a difference between getting an answer and understanding it. AI gives us answers. It doesn’t teach us how to ask better questions or how to judge when an answer is incomplete or misleading.

    This process of cognitive offloading (where we shift mental effort to a device) can be incredibly efficient. But if we offload too much, too early, we risk weakening the mental muscles needed for sustained critical thinking.

    Implications for educators

    So, what does this mean for the classroom?

    First, educators must be discerning about how they use AI tools. These technologies aren’t going away, and banning them outright is neither realistic nor wise. But they must be introduced with guardrails. Students need explicit instruction on how to think alongside AI, not instead of it.

    Second, teachers should emphasize the importance of original thought, iterative questioning, and evidence-based reasoning. Instead of asking students to simply generate answers, ask them to critique AI-generated ones. Challenge them to fact-check, source, revise, and reflect. In doing so, we keep their cognitive skills active and growing.

    And finally, for young learners, we may need to draw a harder line. Students who haven’t yet formed the foundational skills of analysis, synthesis, and evaluation shouldn’t be skipping those steps. Just like you wouldn’t hand a calculator to a child who hasn’t yet learned to add, we shouldn’t hand over generative AI tools to students who haven’t learned how to write, question, or reason.

    A tool, not a crutch

    AI is here to stay. It’s powerful, transformative, and, when used well, can enhance our work and learning. But we must remember that it’s a tool, not a replacement for human thought. The moment we let it think for us is the moment we start to lose the capacity to think for ourselves.

    If we want the next generation to be capable, curious, and critically-minded, we must protect and nurture those skills. And that means using AI thoughtfully, sparingly, and always with a healthy dose of skepticism. AI is certainly proving it has staying power, so it’s in all our best interests to learn to adapt. However, let’s adapt with intentionality, and without sacrificing our critical thinking skills or succumbing to any form of digital dementia.

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  • 5 ways to infuse AI into your classroom this school year

    5 ways to infuse AI into your classroom this school year

    Key points:

    As artificial intelligence (AI) continues to reshape the educational landscape, teachers have a unique opportunity to model how to use it responsibly, creatively, and strategically.

    Rather than viewing AI as a threat or distraction, we can reframe it as a tool for empowerment and efficiency–one that allows us to meet student needs in more personalized, inclusive, and imaginative ways. Whether you’re an AI beginner or already experimenting with generative tools, here are five ways to infuse AI into your classroom this school year:

    1. Co-plan lessons with an AI assistant

    AI platforms like ChatGPT, Eduaide.ai, and MagicSchool.ai can generate lesson frameworks aligned to standards, differentiate tasks for diverse learners, and offer fresh ideas for student engagement. Teachers can even co-create activities with students by prompting AI together in real time.

    Try this: Ask your AI assistant to create a standards-aligned lesson that includes a formative check and a scaffold for ELLs–then adjust to your style and class needs.

    2. Personalize feedback without the time drain

    AI can streamline your feedback process by suggesting draft comments on student work based on rubrics you provide. This is particularly helpful for writing-intensive courses or project-based learning.

    Ethical reminder: Always review and personalize AI-generated feedback to maintain professional judgment and student trust.

    3. Support multilingual learners in real time

    AI tools like Google Translate, Microsoft Immersive Reader, and Read&Write can help bridge language gaps by offering simplified texts, translated materials, and visual vocabulary support.

    Even better: Teach students to use these tools independently to foster agency and access.

    4. Teach AI literacy as a 21st-century skill

    Students are already using AI–let’s teach them to use it well. Dedicate time to discuss how AI works, how to prompt effectively, and how to critically evaluate its outputs for bias, credibility, and accuracy.

    Try this mini-lesson: “3 Prompts, 3 Results.” Have students input the same research question into three AI tools and compare the results for depth, accuracy, and tone.

    5. Automate the tedious–refocus on relationships

    From generating rubrics and newsletters to drafting permission slips and analyzing formative assessment data, AI can reduce the clerical load. This frees up your most valuable resource: time.

    Pro tip: Use AI to pre-write behavior plans, follow-up emails, or even lesson exit ticket summaries.

    The future of AI

    AI won’t replace teachers–but teachers who learn how to use AI thoughtfully may find themselves with more energy, better tools, and deeper student engagement than ever before. As the school year begins, let’s lead by example and embrace AI not as a shortcut, but as a catalyst for growth.

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  • In training educators to use AI, we must not outsource the foundational work of teaching

    In training educators to use AI, we must not outsource the foundational work of teaching

    This story was originally published by Chalkbeat. Sign up for their newsletters at ckbe.at/newsletters.

    I was conferencing with a group of students when I heard the excitement building across my third grade classroom. A boy at the back table had been working on his catapult project for over an hour through our science lesson, into recess, and now during personalized learning time. I watched him adjust the wooden arm for what felt like the 20th time, measure another launch distance, and scribble numbers on his increasingly messy data sheet.

    “The longer arm launches farther!” he announced to no one in particular, his voice carrying the matter-of-fact tone of someone who had just uncovered a truth about the universe. I felt that familiar teacher thrill, not because I had successfully delivered a physics lesson, but because I hadn’t taught him anything at all.

    Last year, all of my students chose a topic they wanted to explore and pursued a personal learning project about it. This particular student had discovered the relationship between lever arm length and projectile distance entirely through his own experiments, which involved mathematics, physics, history, and data visualization.

    Other students drifted over to try his longer-armed design, and soon, a cluster of 8-year-olds were debating trajectory angles and comparing medieval siege engines to ancient Chinese catapults.

    They were doing exactly what I dream of as an educator: learning because they wanted to know, not because they had to perform.

    Then, just recently, I read about the American Federation of Teachers’ new $23 million partnership with Microsoft, OpenAI, and Anthropic to train educators how to use AI “wisely, safely and ethically.” The training sessions would teach them how to generate lesson plans and “microwave” routine communications with artificial intelligence.

    My heart sank.

    As an elementary teacher who also conducts independent research on the intersection of AI and education, and writes the ‘Algorithmic Mind’ column about it for Psychology Today, I live in the uncomfortable space between what technology promises and what children actually need. Yes, I use AI, but only for administrative work like drafting parent newsletters, organizing student data, and filling out required curriculum planning documents. It saves me hours on repetitive tasks that have nothing to do with teaching.

    I’m all for showing educators how to use AI to cut down on rote work. But I fear the AFT’s $23 million initiative isn’t about administrative efficiency. According to their press release, they’re training teachers to use AI for “instructional planning” and as a “thought partner” for teaching decisions. One featured teacher describes using AI tools to help her communicate “in the right voice” when she’s burned out. Another says AI can assist with “late-night lesson planning.”

    That sounds more like outsourcing the foundational work of teaching.

    Watching my student discover physics principles through intrinsic curiosity reminded me why this matters so much. When we start relying on AI to plan our lessons and find our teaching voice, we’re replacing human judgment with algorithmic thinking at the very moment students need us most. We’re prioritizing the product of teaching over the process of learning.

    Most teachers I talk to share similar concerns about AI. They focus on cheating and plagiarism. They worry about students outsourcing their thinking and how to assess learning when they can’t tell if students actually understand anything. The uncomfortable truth is that students have always found ways to avoid genuine thinking when we value products over process. I used SparkNotes. Others used Google. Now, students use ChatGPT.

    The problem is not technology; it’s that we continue prioritizing finished products over messy learning processes. And as long as education rewards predetermined answers over curiosity, students will find shortcuts.

    That’s why teachers need professional development that moves in the opposite direction. They need PD that helps them facilitate genuine inquiry and human connection; foster classrooms where confusion is valued as a precursor to understanding; and develop in students an intrinsic motivation.

    When I think about that boy measuring launch distances with handmade tools, I realize he was demonstrating the distinctly human capacity to ask questions that only he wanted to address. He didn’t need me to structure his investigation or discovery. He needed the freedom to explore, materials to experiment with, and time to pursue his curiosity wherever it led.

    The learning happened not because I efficiently delivered content, but because I stepped back and trusted his natural drive to understand.

    Children don’t need teachers who can generate lesson plans faster or give AI-generated feedback, but educators who can inspire questions, model intellectual courage, and create communities where wonder thrives and real-world problems are solved.

    The future belongs to those who can combine computational tools with human wisdom, ethics, and creativity. But this requires us to maintain the cognitive independence to guide AI systems rather than becoming dependent on them.

    Every time I watch my students make unexpected connections, I’m reminded that the most important learning happens in the spaces between subjects, in the questions that emerge from genuine curiosity, in the collaborative thinking that builds knowledge through relationships. We can’t microwave that. And we shouldn’t try.

    Chalkbeat is a nonprofit news site covering educational change in public schools.

    For more news on AI in education, visit eSN’s Digital Learning hub.

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  • Is gamification the key to achieving true inclusion in special education?

    Is gamification the key to achieving true inclusion in special education?

    Key points:

    For students with special needs, learning can often resemble a trek through dense woods along a narrow, rigid path–one that leaves little to no room for individual exploration. But the educational landscape is evolving. Picture classrooms as adventurous hunts, where every learner charts their own journey, overcomes unique challenges, and progresses at a pace that matches their strengths. This vision is becoming reality through gamification, a powerful force that is reshaping how students learn and how teachers teach in K–12 special education.

    Personalized learning paths: Tailoring the adventure

    Traditional classrooms often require students to adapt one method of instruction, which can be limiting–especially for neurodiverse learners. Gamified learning platforms provide an alternative by offering adaptive, personalized learning experiences that honor each student’s profile and pace.

    Many of these platforms use real-time data and algorithms to adjust content based on performance. A student with reading difficulties might receive simplified text with audio support, while a math-savvy learner can engage in increasingly complex logic puzzles. This flexibility allows students to move forward without fear of being left behind, or without being bored waiting for others to catch up.

    Accessibility features such as customizable avatars, voice commands, and adjustable visual settings also create space for students with ADHD, autism, or sensory sensitivities to learn comfortably. A student sensitive to bright colors can use a softer palette; another who struggles with reading can use text-to-speech features. And when students can replay challenges without stigma, repetition becomes practice, not punishment.

    In these environments, progress is measured individually. The ability to choose which goals to tackle and how to approach them gives learners both agency and confidence–two things often missing in traditional special education settings.

    Building social and emotional skills: The power of play

    Play is a break from traditional learning and a powerful way to build essential social and emotional skills. For students with special needs who may face challenges with communication, emotional regulation, or peer interaction, gamified environments provide a structured yet flexible space to develop these abilities.

    In cooperative hunts and team challenges, students practice empathy, communication, and collaboration in ways that feel engaging and low-stakes. A group mission might involve solving a puzzle together, requiring students to share ideas, encourage one another, and work toward a common goal.

    Gamified platforms also provide real-time, constructive feedback, transforming setbacks into teachable moments. Instead of pointing out what a student did wrong, a game might offer a helpful hint: “Try checking the clues again!” This kind of support teaches resilience and persistence in a way that lectures or punitive grading rarely do.

    As students earn badges or level up, they experience tangible success. These moments highlight the connection between effort and achievement. Over time, these small wins raise a greater willingness to engage with the material and with peers and the classroom community.

    Fostering independence and motivation

    Students with learning differences often carry the weight of repeated academic failure, which can chip away at their motivation. Gamification helps reverse this by reframing challenges as opportunities and effort as progress.

    Badges, points, and levels make achievements visible and meaningful. A student might earn a “Problem Solver” badge after tackling a tricky math puzzle or receive “Teamwork Tokens” for helping a classmate. These systems expand the definition of success and highlight personal strengths.

    The focus shifts from comparison to self-improvement. Some platforms even allow for private progress tracking, letting students set and meet personal goals without the anxiety of public rankings. Instead of competing, students build a personal narrative of growth.

    Gamification also encourages self-directed learning. As student complete tasks, they develop skills like planning, time management, and self-assessment, skills that extend beyond academics and into real life. The result is a deeper sense of ownership and independence.

    Teachers as learning guides

    Gamification doesn’t replace teachers, but it can help teach more effectively. With access to real-time analytics, educators can see exactly where a student is excelling or struggling and adjust instruction accordingly.

    Dashboards might reveal that a group of students is thriving in reading comprehension but needs help with number sense, prompting immediate, targeted intervention. This data-driven insight allows for proactive, personalized support.

    Teachers in gamified classrooms also take on a new role, both of a mentor and facilitator. They curate learning experiences, encourage exploration, and create opportunities for creativity and curiosity to thrive. Instead of managing behavior or delivering lectures, they support students on individualized learning journeys.

    Inclusion reimagined

    Gamification is not a gimmick; it’s a framework for true inclusion. It aligns with the principles of Universal Design for Learning (UDL), offering multiple ways for students to engage, process information, and show what they know. It recognizes that every learner is different, and builds that into the design.

    Of course, not every gamified tool is created equal. Thoughtful implementation, equity in access, and alignment with student goals are essential. But when used intentionally, gamification can turn classrooms into places where students with diverse needs feel seen, supported, and excited to learn.

    Are we ready to level up?

    Gamification is a step toward classrooms that work for everyone. For students with special needs, it means learning at their own pace, discovering their strengths, and building confidence through meaningful challenges.

    For teachers, it’s a shift from directing traffic to guiding adventurers.

    If we want education to be truly inclusive, we must go beyond accommodations and build systems where diversity is accepted and celebrated. And maybe, just maybe, that journey begins with a game.

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  • KU researchers publish guidelines to help responsibly implement AI in education

    KU researchers publish guidelines to help responsibly implement AI in education

    This story originally appeared on KU News and is republished with permission.

    Key points:

    Researchers at the University of Kansas have produced a set of guidelines to help educators from preschool through higher education responsibly implement artificial intelligence in a way that empowers teachers, parents, students and communities alike.

    The Center for Innovation, Design & Digital Learning at KU has published “Framework for Responsible AI Integration in PreK-20 Education: Empowering All Learners and Educators with AI-Ready Solutions.” The document, developed under a cooperative agreement with the U.S. Department of Education, is intended to provide guidance on how schools can incorporate AI into its daily operations and curriculum.

    Earlier this year, President Donald Trump issued an executive order instructing schools to incorporate AI into their operations. The framework is intended to help all schools and educational facilities do so in a manner that fits their unique communities and missions.

    “We see this framework as a foundation,” said James Basham, director of CIDDL and professor of special education at KU. “As schools consider forming an AI task force, for example, they’ll likely have questions on how to do that, or how to conduct an audit and risk analysis. The framework can help guide them through that, and we’ll continue to build on this.”

    The framework features four primary recommendations.

    • Establish a stable, human-centered foundation.
    • Implement future-focused strategic planning for AI integration.
    • Ensure AI educational opportunities for every student.
    • Conduct ongoing evaluation, professional learning and community development.

    First, the framework urges schools to keep humans at the forefront of AI plans, prioritizing educator judgment, student relationships and family input on AI-enabled processes and not relying on automation for decisions that affect people. Transparency is also key, and schools should communicate how AI tools work, how decisions are made and ensure compliance with student protection laws such as the Individuals with Disabilities Education Act and Family Education Rights and Privacy Act, the report authors write.

    The document also outlines recommendations for how educational facilities can implement the technology. Establishing an AI integration task force including educators, administrators, families, legal advisers and specialists in instructional technology and special education is key among the recommendations. The document also shares tips on how to conduct an audit and risk analysis before adoption and consider how tools can affect student placement and identification and consider possible algorithmic error patterns. As the technologies are trained on human data, they run the risk of making the same mistakes and repeating biases humans have made, Basham said.

    That idea is also reflected in the framework’s third recommendation. The document encourages educators to commit to learner-centered AI implementation that considers all students, from those in gifted programs to students with cognitive disabilities. AI tools should be prohibited from making final decisions on IEP eligibility, disciplinary actions and student progress decisions, and mechanisms should be installed that allow for feedback on students, teachers and parents’ AI educational experiences, the authors wrote.

    Finally, the framework urges ongoing evaluation, professional learning and community development. As the technology evolves, schools should regularly re-evaluate it for unintended consequences and feedback from those who use it. Training both at implementation and in ongoing installments will be necessary to address overuse or misuse and clarify who is responsible for monitoring AI use and to ensure both the school and community are informed on the technology.

    The framework was written by Basham; Trey Vasquez, co-principal investigator at CIDDL, operating officer at KU’s Achievement & Assessment Institute and professor of special education at KU; and Angelica Fulchini Scruggs, research associate and operations director for CIDDL.

    Educators interested in learning more about the framework or use of AI in education are invited to connect with CIDDL. The center’s site includes data on emergent themes in AI guidance at the state level and information on how it supports educational technology in K-12 and higher education. As artificial intelligence finds new uses and educators are expected to implement the technology in schools, the center’s researchers said they plan to continue helping educators implement it in ways that benefit schools, students of all abilities and communities.

    “The priority at CIDDL is to share transparent resources for educators on topics that are trending and in a way that is easy to digest,” Fulchini Scruggs said. “We want people to join the community and help them know where to start. We also know this will evolve and change, and we want to help educators stay up to date with those changes to use AI responsibly in their schools.”

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  • 4 ways to transform your classroom through playful gamification 

    4 ways to transform your classroom through playful gamification 

    Key points:

    Every educator hopes to instill a lifelong love of learning within their students. We strive to make each lesson engaging, while igniting a sense of curiosity, wonder, and discovery in every child.

    Unfortunately, we don’t always succeed, and recent reports suggest that today’s students are struggling to connect with the material they’re taught in school–particularly when it comes to STEM. While there are many potential culprits behind these numbers (shortened attention spans, the presence of phones, dependency on AI, etc.), educators should still take a moment to reflect and strategize when preparing a new lesson for their class. If we truly want to foster a growth mindset within our students, we need to provide lessons that invite them to embrace the learning process itself.

    One way to accomplish this is through gamification. Gamification brings the motivational elements of games into your everyday lessons. It increases student engagement, builds perseverance, and promotes a growth mindset. When used strategically, it helps learners take ownership of their progress and encourages creativity and collaboration without sacrificing academic rigor.

    Here are just 4 ways that educators can transform their classroom through playful gamification:

    1. Introduce points and badges: Modern video games like Pokémon and Minecraft frequently use achievements to guide new players through the gaming process. Teachers can do the same by assigning points to different activities that students can acquire throughout the week. These experience points can also double as currency that students can exchange for small rewards, such as extra free time or an end-of-year pizza party.
    2. Create choice boards: Choice boards provide students with a range of task options, each with a point value or challenge level. You can assign themes or badges for completing tasks in a certain sequence (e.g., “complete a column” or “complete one of each difficulty level”). This allows students to take ownership of their learning path and pace, while still hitting key learning targets.
    3. Host a digital breakout: Virtual escape rooms and digital breakouts are great for fostering engagement and getting students to think outside the box. By challenging students to solve content-based puzzles to unlock “locks” or progress through scenarios, they’re encouraged to think creatively while also collaborating with their peers. They’re the ideal activity for reviewing classwork and reinforcing key concepts across subjects.
    4. Boss battle assessments: This gamified review activity has students “battle” a fictional character by answering questions or completing tasks. Each correct response helps them defeat the boss, which can be tracked with points, health bars, or progress meters. This engaging format turns practice into a collaborative challenge, building excitement and reinforcing content mastery.

    When implemented correctly, gamification can be incredibly fun and rewarding for our students. With the fall semester drawing closer, there has never been a better time to prepare lessons that will spark student curiosity, creativity, and critical thinking.

    We can show our students that STEM learning is not a chore, but a gateway to discovery and excitement. So, get your pencils ready, and let the games begin.

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  • Most students, educators use AI–but opinions differ on ethical use

    Most students, educators use AI–but opinions differ on ethical use

    Key points:

    As generative AI continues to gain momentum in education each year, both its adoption and the attitudes toward its use have steadily grown more positive, according to a new report from Quizlet.

    The How America Learns report explores U.S. student, teacher, and parent perspectives on AI implementation, digital learning and engagement, and success beyond the classroom.

    “At Quizlet, we’ve spent nearly two decades putting students at the center of everything we do,” said Quizlet CEO Kurt Beidler. “We fielded this research to better understand the evolving study habits of today’s students and ensure we’re building tools that not only help our tens of millions of monthly learners succeed, but also reflect what they truly need from their learning experience.”

    AI becomes ubiquitous in education
    As generative AI solutions gain traction in education year over year, adoption and attitudes towards the technology have increased and improved. Quizlet’s survey found that 85 percent of respondents–including high school and college teachers, as well as students aged 14-22–said they used AI technology, a significant increase from 66 percent in 2024. Of those respondents using AI, teachers now outpace students in AI adoption (87 percent vs 84 percent), compared to 2024 findings when students slightly outpaced teachers.

    Among the 89 percent of all students who say they use AI technology for school (up from 77 percent in 2024), the top three use cases are summarizing or synthesizing information (56%), research (46 percent), and generating study guides or materials (45 percent). The top uses of AI technology among teachers remained the same but saw significant growth YoY: research (54 percent vs. 33 percent), summarizing or synthesizing information (48 percent vs. 30 percent), and generating classroom materials like tests and assignments (45 percent vs. 31 percent).

    While the emergence of AI has presented new challenges related to academic integrity, 40 percent of respondents believe that AI is used ethically and effectively in the classroom. However, students are significantly less likely to feel this way (29 percent) compared to parents (46 percent) and teachers (57 percent), signaling a continued need for education and guidelines on responsible use of AI technology for learning.

    “Like any new technology, AI brings incredible opportunities, but also a responsibility to use it thoughtfully,” said Maureen Lamb, AI Task Force Chair and Language Department Chair at Miss Porter’s School. “As adoption in education grows, we need clear guidelines that help mitigate risk and unlock the full potential of AI.  Everyone–students, educators, and parents–has a role to play in understanding not just how to use AI, but when and why it should be used.”

    Digital learning demands growth while equity gap persists
    Just as AI is becoming a staple in education, survey results also found that digital learning is growing in popularity, with 64 percent of respondents expressing that digital learning methods should be equal or greater than traditional education methods, especially teachers (71 percent).

    Respondents indicated that flexibility (56 percent), personalized learning (53 percent), and accessibility (49 percent) were the most beneficial aspects of digital learning. And with 77 percent of students making sacrifices, including loss of sleep, personal time, and missed extracurriculars due to homework, digital learning offers a promising path toward a more accommodating approach. 

    While the majority of respondents agreed on the importance and benefits of digital learning, results also pointed to a disparity in access to these tools. Despite nearly half (49 percent) of respondents agreeing that all students in their community have equal access to learning materials, technology, and support to succeed academically, that percentage drops to 43 percent for respondents with diagnosed or self-identified learning differences, neurodivergent traits, or accessibility needs.

    Maximizing success for academic and real-world learning
    While discussion around AI and education has largely focused on use cases for academic learning, the report also uncovered an opportunity for greater support to help drive success beyond the classroom and provide needed resources for real-world learning.

    Nearly 60 percent of respondents believe a four-year college degree is of high importance for achieving professional success (58 percent). However, more than one-third of students, teachers, and parents surveyed believe schools are not adequately preparing students for success beyond the classroom.

    “As we drive the next era of AI-powered learning, it’s our mission to give every student and lifelong learner the tools and confidence to succeed, no matter their motivation or what they’re striving to achieve,” said Beidler. “As we’ve seen in the data, there’s immense opportunity when it comes to career-connected learning, from life skills development to improving job readiness, that goes well beyond the classroom and addresses what we’re hearing from students and teachers alike.”

    The top five skills respondents indicated should be prioritized more in schools are critical thinking and problem solving (66 percent), financial literacy (64 percent), mental health management (58 percent), leadership skills (52 percent), and creativity and innovation (50 percent).

    This press release originally appeared online.

    eSchool News Staff
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  • Creative approaches to teaching math can help fill AI talent gap

    Creative approaches to teaching math can help fill AI talent gap

    Key points:

    Not surprisingly, jobs in AI are the fastest growing of any in the country, with a 59 percent increase in job postings between January 2024 and November 2024. Yet we continue to struggle with growing a workforce that is proficient in STEM. 

    To fill the AI talent pipeline, we need to interest kids in STEM early, particularly in math, which is critical to AI. But that’s proven difficult. One reason is that math is a stumbling block. Whether because of math anxiety, attitudes they’ve absorbed from the community, inadequate curricular materials, or traditional teaching methods, U.S. students either avoid or are not proficient in math.  

    A recent Gallup report on Math Matters reveals that the U.S. public greatly values math but also experiences significant gaps in learning and confidence, finding that: 

    • 95 percent of U.S. adults say that math is very or somewhat important in their work life 
    • 43 percent of U.S. adults wish they had learned more math skills in middle or high school. 
    •  24 percent of U.S. adults say that math makes them feel confused  

    Yet this need not be the case. Creative instruction in math can change the equation, and it is available now. The following three examples from respected researchers in STEM education demonstrate this fact. 

    The first is a recently published book by Susan Jo Russell and Deborah Schifter, Interweaving Equitable Participation and Deep Mathematics. The book provides practical tools and a fresh vision to help educators create math classrooms where all students can thrive. It tackles a critical challenge: How do teachers ensure that all students engage deeply with rigorous mathematics? The authors pose and successfully answer key questions: What does a mathematical community look like in an elementary classroom? How do teachers engage young mathematicians in deep and challenging mathematical content? How do we ensure that every student contributes their voice to this community? 

    Through classroom videos, teacher reflections, and clear instructional frameworks, Russell and Schifter bring readers inside real elementary classrooms where all students’ ideas and voices matter. They provide vivid examples, insightful commentary, and ready-to-use resources for teachers, coaches, and school leaders working to make math a subject where every student sees themselves as capable and connected. 

    Next is a set of projects devoted to early algebra. Significantly, research shows that how well students perform in Algebra 2 is a leading indicator of whether they’ll get into college, graduate from college, or become a top income earner. But introducing algebra in middle school, as is the common practice, is too late, according to researchers Maria Blanton and Angela Gardiner of TERC, a STEM education research nonprofit. Instead, learning algebra must begin in K-5, they believe. 

    Students would be introduced to algebraic concepts rather than algebra itself, becoming familiar with ways of thinking using pattern and structure. For example, when students understand that whenever they add two odd numbers together, they get an even number, they’re recognizing important mathematical relationships that are critical to algebra. 

    Blanton and Gardiner, along with colleagues at Tufts University, University of Wisconsin Madison, University of Texas at Austin, Merrimack College, and City College of New York, have already demonstrated the success of an early algebra approach through Project LEAP, the first early algebra curriculum of its kind for grades K–5, funded in part by the National Science Foundation.  

    If students haven’t been introduced to algebra early on, the ramp-up from arithmetic to algebra can be uniquely difficult. TERC researcher Jennifer Knudsen told me that elementary to middle school is an important time for students’ mathematical growth. 

    Knudsen’s project, MPACT, the third example of creative math teaching, engages middle school students in 3D making with everything from quick-dry clay and cardboard to digital tools for 3D modeling and printing. The project gets students involved in designing objects, helping them develop understanding of important mathematical topics in addition to spatial reasoning and computational thinking skills closely related to math. Students learn concepts and solve problems with real objects they can hold in their hands, not just with words and diagrams on paper.  

    So far, the evidence is encouraging: A two-year study shows that 4th–5th graders demonstrated significant learning gains on an assessment of math, computational thinking, and spatial reasoning. These creative design-and-making units are free and ready to download. 

    Math is critical for success in STEM and AI, yet too many kids either avoid or do not succeed in it. Well-researched interventions in grade school and middle school can go a long way toward teaching essential math skills. Curricula for creating a math community for deep learning, as well as projects for Early Algebra and MPACT, have shown success and are readily available for school systems to use.

    We owe it to our students to take creative approaches to math so they can prepare for future AI and STEM professions. We owe it to ourselves to help develop a skilled STEM and AI workforce, which the nation needs to stay competitive. 

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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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  • Weaving digital citizenship into edtech innovation

    Weaving digital citizenship into edtech innovation

    Key points:

    What happens when over 100 passionate educators converge in Chicago to celebrate two decades of educational innovation? A few weeks ago, I had the thrilling opportunity to immerse myself in the 20th anniversary of the Discovery Educator Network (the DEN), a week-long journey that reignited my passion for transforming classrooms.

    From sunrise to past sunset, my days at Loyola University were a whirlwind of learning, laughter, and relentless exploration. Living the dorm life, forging new connections, and rekindling old friendships, we collectively dove deep into the future of learning, creating experiences that went far beyond the typical professional development.

    As an inaugural DEN member, the professional learning community supported by Discovery Education, I was incredibly excited to return 20 years after its founding to guide a small group of educators through the bountiful innovations of the DEN Summer Institute (DENSI). Think scavenger hunts, enlightening workshops, and collaborative creations–every moment was packed with cutting-edge ideas and practical strategies for weaving technology seamlessly into our teaching, ensuring our students are truly future-ready.

    During my time at DENSI, I learned a lot of new tips and tricks that I will pass on to the educators I collaborate with. From AI’s potential to the various new ways to work together online, participants in this unique event learned a number of ways to weave digital citizenship into edtech innovation. I’ve narrowed them down to five core concepts; each a powerful step toward building future-ready classrooms and fostering truly responsible digital citizens.

    Use of artificial intelligence

    Technology integration: When modeling responsible AI use, key technology tools could include generative platforms like Gemini, NotebookLM, Magic School AI, and Brisk, acting as ‘thought partners’ for brainstorming, summarizing, and drafting. Integration also covers AI grammar/spell-checkers, data visualization tools, and feedback tools for refining writing, presenting information, and self-assessment, enhancing digital content interaction and production.

    Learning & application: Teaching students to ethically use AI is key. This involves modeling critical evaluation of AI content for bias and inaccuracies. For instance, providing students with an AI summary of a historical event to fact-check with credible sources. Students learn to apply AI as a thought partner, boosting creativity and collaboration, not replacing their own thinking. Fact-checking and integrating their unique voices are essential. An English class could use AI to brainstorm plot ideas, but students develop characters and write the narrative. Application includes using AI for writing refinement and data exploration, fostering understanding of AI’s academic capabilities and limitations.

    Connection to digital citizenship: This example predominantly connects to digital citizenship. Teaching responsible AI use promotes intellectual honesty and information literacy. Students can grasp ethical considerations like plagiarism and proper attribution. The “red, yellow, green” stoplight method provides a framework for AI use, teaching students when to use AI as a collaborator, editor, or thought partner–or not at all.This approach cultivates critical thinking and empowers students to navigate the digital landscape with integrity, preparing them as responsible digital citizens understanding AI’s implications.

    Digital communication

    Technology integration: Creating digital communication norms should focus on clarity with visuals like infographics, screenshots, and video clips. Canva is a key tool for a visual “Digital Communication Agreement” defining online interaction expectations. Include student voice by the integration and use of pictures and graphics to illustrate behaviors and potentially collaborative presentation / polling tools for student involvement in norm-setting.

    Learning & application: Establishing clear online interaction norms is the focus of digital communication. Applying clear principles teaches the importance of visuals and setting communication goals. Creating a visual “Digital Communication Agreement” with Canva is a practical application where students define respectful online language and netiquette. An elementary class might design a virtual classroom rules poster, showing chat emojis and explaining “think before you post.” Using screenshots and “SMART goals” for online discussions reinforces learning, teaching constructive feedback and respectful debate. In a middle school science discussion board, the teacher could model a respectful response like “I understand your point, but I’m wondering if…” This helps students apply effective digital communication principles.

    Connection to digital citizenship: This example fosters respectful communication, empathy, and understanding of online social norms. By creating and adhering to a “Digital Communication Agreement,” students develop responsibility for online interactions. Emphasizing respectful language and netiquette cultivates empathy and awareness of their words’ impact. This prepares them as considerate digital citizens, contributing positively to inclusive online communities.

    Content curation

    Technology integration: For understanding digital footprints, one primary tool is Google Drive when used as a digital folder to curate students’ content. The “Tech Toolbox” concept implies interaction with various digital platforms where online presence exists. Use of many tools to curate content allows students to leave traces on a range of technologies forming their collective digital footprint.

    Learning & application: This centers on educating students about their online presence’s permanence and nature. Teaching them to curate digital content in a structured way, like using a Google Drive folder, is key. A student could create a “Digital Portfolio” in Google Drive with online projects, proud social media posts, and reflections on their public identity. By collecting and reviewing online artifacts, students visualize their current “digital footprint.” The classroom “listening tour” encourages critical self-reflection, prompting students to think about why they share online and how to be intentional about their online identity. This might involve students reviewing anonymized social media profiles, discussing the impression given to future employers.

    Connection to digital citizenship: This example cultivates awareness of online permanence, privacy, responsible self-presentation, and reputation management. Understanding lasting digital traces empowers students to make informed decisions. The reflection process encourages the consideration of their footprint’s impact, fostering ownership and accountability for online behavior. This helps them become mindful, capable digital citizens.

    Promoting media literacy

    Technology integration: One way to promote media literacy is by using “Paperslides” for engaging content creation, leveraging cameras and simple video recording. This concept gained popularity at the beginning of the DEN through Dr. Lodge McCammon. Dr. Lodge’s popular 1-Take Paperslide Video strategy is to “hit record, present your material, then hit stop, and your product is done” style of video creation is something that anyone can start using tomorrow. Integration uses real-life examples (likely digital media) to share a variety of topics for any audience. Additionally, to apply “Pay Full Attention” in a digital context implies online viewing platforms and communication tools for modeling digital eye contact and verbal cues.

    Learning & application: Integrating critical media consumption with engaging content creation is the focus. Students learn to leverage “Paperslides” or another video creation method to explain topics or present research, moving beyond passive consumption. For a history project, students could create “Paperslides” explaining World War II causes, sourcing information and depicting events. Learning involves using real-life examples to discern credible online sources, understanding misinformation and bias. A lesson might show a satirical news article, guiding students to verify sources and claims through their storyboard portion. Applying “Pay Full Attention” teaches active, critical viewing, minimizing distractions. During a class viewing of an educational video, students could pause to discuss presenter credentials or unsupported claims, mimicking active listening. This fosters practical media literacy in creating and consuming digital content.

    Connection to digital citizenship: This example enhances media literacy, critical online information evaluation, and understanding persuasive techniques. Learning to create and critically consume content makes students informed, responsible digital participants. They identify and question sources, essential for navigating a digital information-saturated world. This empowers them as discerning digital citizens, contributing thoughtfully to online content.

    Collaborative problem-solving

    Technology integration: For practicing digital empathy and support, key tools are collaborative online documents like Google Docs and Google Slides. Integration extends to online discussion forums (Google Classroom, Flip) for empathetic dialogue, and project management tools (Trello, Asana) for transparent organization. 

    Learning & application: This focuses on developing effective collaborative skills and empathetic communication in digital spaces. Students learn to work together on shared documents, applying a “Co-Teacher or Model Lessons” approach where they “co-teach” each other new tools or concepts. In a group science experiment, students might use a shared Google Doc to plan methodology, with one “co-teaching” data table insertion from Google Sheets. They practice constructive feedback and model active listening in digital settings, using chat for clarification or emojis for feelings. The “red, yellow, green” policy provides a clear framework for online group work, teaching when to seek help, proceed cautiously, or move forward confidently. For a research project, “red” means needing a group huddle, “yellow” is proceeding with caution, and “green” is ready for review.

    Connection to digital citizenship: This example is central to digital citizenship, developing empathy, respectful collaboration, and responsible problem-solving in digital environments. Structured online group work teaches how to navigate disagreements and offers supportive feedback. Emphasis on active listening and empathetic responses helps internalize civility, preparing students as considerate digital citizens contributing positively to online communities.

    These examples offer a powerful roadmap for cultivating essential digital citizenship skills and preparing all learners to be future-ready. The collective impact of thoughtfully utilizing these or similar approaches , or even grab and go resources from programs such as Discovery Education’s Digital Citizenship Initiative, can provide the foundation for a strong academic and empathetic school year, empowering educators and students alike to navigate the digital world with confidence, integrity, and a deep understanding of their role as responsible digital citizens.

    In addition, this event reminded me of the power of professional learning communities.  Every educator needs and deserves a supportive community that will share ideas, push their thinking, and support their professional development. One of my long-standing communities is the Discovery Educator Network (which is currently accepting applications for membership). 

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