Tag: digital learning

  • 3 reasons to switch to virtual set design

    3 reasons to switch to virtual set design

    Key points:

    If you’ve attended a professional show or musical recently, chances are you’ve seen virtual set design in action. This approach to stage production has gained so much traction it’s now a staple in the industry. After gaining momentum in professional theater, it has made its way into collegiate performing arts programs and is now emerging in K-12 productions as well.

    Virtual set design offers a modern alternative to traditional physical stage sets, using technology and software to create immersive backdrops and environments. This approach unlocks endless creative possibilities for schools while also providing practical advantages.

    Here, I’ll delve into three key benefits: increasing student engagement and participation, improving efficiency and flexibility in productions, and expanding educational opportunities.

    Increasing student engagement and participation

    Incorporating virtual set design into productions gets students excited about learning new skills while enhancing the storytelling of a show. When I first joined Churchill High School in Livonia, Michigan as the performing arts manager, the first show we did was Shrek the Musical, and I knew it would require an elaborate set. While students usually work together to paint the various backdrops that bring the show to life, I wanted to introduce them to collaborating on virtual set design.

    We set up Epson projectors on the fly rail and used them to project images as the show’s backdrops. Positioned at a short angle, the projectors avoided any shadowing on stage. To create a seamless image with both projectors, we utilized edge-blending and projection mapping techniques using just a Mac® laptop and QLab software. Throughout the performance, the projectors transformed the stage with a dozen dynamic backdrops, shifting from a swamp to a castle to a dungeon.

    Students were amazed by the technology and very excited to learn how to integrate it into the set design process. Their enthusiasm created a real buzz around the production, and the community’s feedback on the final results were overwhelmingly positive.

    Improving efficiency and flexibility

    During Shrek the Musical, there were immediate benefits that made it so much easier to put together a show. To start, we saved money by eliminating the need to build multiple physical sets. While we were cutting costs on lumber and materials, we were also solving design challenges and expanding what was possible on stage.

    This approach also saved us valuable time. Preparing the sets in the weeks leading up to the show was faster, and transitions during performances became seamless. Instead of moving bulky scenery between scenes or acts, the stage crew simply switched out projected images making it much more efficient.

    We saw even more advantages in our spring production of She Kills Monsters. Some battle scenes called for 20 or 30 actors to be on stage at once, which would have been difficult to manage with a traditional set. By using virtual production, we broke the stage up with different panels spaced apart and projected designs, creating more space for performers. We were able to save physical space, as well as create a design that helped with stage blocking and made it easier for students to find their spots.

    Since using virtual sets, our productions have become smoother, more efficient, and more creative.

    Expanding educational opportunities

    Beyond the practical benefits, virtual set design also creates valuable learning opportunities for students. Students involved in productions gain exposure to industry-level technology and learn about careers in the arts, audio, and video technology fields. Introducing students to these opportunities before graduating high school can really help prepare them for future success.

    Additionally, in our school’s technical theater courses, students are learning lessons on virtual design and gaining hands-on experiences. As they are learning about potential career paths, they are developing collaboration skills and building transferable skills that directly connect to college and career readiness.

    Looking ahead with virtual set design

    Whether students are interested in graphic design, sound engineering, or visual technology, virtual production brings countless opportunities to them to explore. It allows them to experiment with tools and concepts that connect directly to potential college majors or future careers.

    For schools, incorporating virtual production into high school theater offers more than just impressive shows. It provides a cost-effective, flexible, and innovative approach to storytelling. It is a powerful tool that benefits productions, enriches student learning, and prepares the next generation of artists and innovators.

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  • Preparing for a new era of teaching and learning

    Preparing for a new era of teaching and learning

    Key points:

    When I first started experimenting with AI in my classroom, I saw the same thing repeatedly from students. They treated it like Google. Ask a question, get an answer, move on. It didn’t take long to realize that if my students only engage with AI this way, they miss the bigger opportunity to use AI as a partner in thinking. AI isn’t a magic answer machine. It’s a tool for creativity and problem-solving. The challenge for us as educators is to rethink how we prepare students for the world they’re entering and to use AI with curiosity and fidelity.

    Moving from curiosity to fluency

    In my district, I wear two hats: history teacher and instructional coach. That combination gives me the space to test ideas in the classroom and support colleagues as they try new tools. What I’ve learned is that AI fluency requires far more than knowing how to log into a platform. Students need to learn how to question outputs, verify information and use results as a springboard for deeper inquiry.

    I often remind them, “You never trust your source. You always verify and compare.” If students accept every AI response at face value, they’re not building the critical habits they’ll need in college or in the workforce.

    To make this concrete, I teach my students the RISEN framework: Role, Instructions, Steps, Examples, Narrowing. It helps them craft better prompts and think about the kind of response they want. Instead of typing “explain photosynthesis,” they might ask, “Act as a biologist explaining photosynthesis to a tenth grader. Use three steps with an analogy, then provide a short quiz at the end.” Suddenly, the interaction becomes purposeful, structured and reflective of real learning.

    AI as a catalyst for equity and personalization

    Growing up, I was lucky. My mom was college educated and sat with me to go over almost every paper I wrote. She gave me feedback that helped to sharpen my writing and build my confidence. Many of my students don’t have that luxury. For these learners, AI can be the academic coach they might not otherwise have.

    That doesn’t mean AI replaces human connection. Nothing can. But it can provide feedback, ask guiding questions, and provide examples that give students a sounding board and thought partner. It’s one more way to move closer to providing personalized support for learners based on need.

    Of course, equity cuts both ways. If only some students have access to AI or if we use it without considering its bias, we risk widening the very gaps we hope to close. That’s why it’s our job as educators to model ethical and critical use, not just the mechanics.

    Shifting how we assess learning

    One of the biggest shifts I’ve made is rethinking how I assess students. If I only grade the final product, I’m essentially inviting them to use AI as a shortcut. Instead, I focus on the process: How did they engage with the tool? How did they verify and cross-reference results? How did they revise their work based on what they learned? What framework guided their inquiry? In this way, AI becomes part of their learning journey rather than just an endpoint.

    I’ve asked students to run the same question through multiple AI platforms and then compare the outputs. What were the differences? Which response feels most accurate or useful? What assumptions might be at play? These conversations push students to defend their thinking and use AI critically, not passively.

    Navigating privacy and policy

    Another responsibility we carry as educators is protecting our students. Data privacy is a serious concern. In my school, we use a “walled garden” version of AI so that student data doesn’t get used for training. Even with those safeguards in place, I remind colleagues never to enter identifiable student information into a tool.

    Policies will continue to evolve, but for day-to-day activities and planning, teachers need to model caution and responsibility. Students are taking our lead.

    Professional growth for a changing profession

    The truth of the matter is most of us have not been professionally trained to do this. My teacher preparation program certainly did not include modules on prompt engineering or data ethics. That means professional development in this space is a must.

    I’ve grown the most in my AI fluency by working alongside other educators who are experimenting, sharing stories, and comparing notes. AI is moving fast. No one has all the answers. But we can build confidence together by trying, reflecting, and adjusting through shared experience and lessons learned. That’s exactly what we’re doing in the Lead for Learners network. It’s a space where educators from across the country connect, learn and support one another in navigating change.

    For educators who feel hesitant, I’d say this: You don’t need to be an expert to start. Pick one tool, test it in one lesson, and talk openly with your students about what you’re learning. They’ll respect your honesty and join you in the process.

    Preparing students for what’s next

    AI is not going away. Whether we’re ready or not, it’s going to shape how our students live and work. That gives us a responsibility not just to keep pace with technology but to prepare young people for what’s ahead. The latest futures forecast reminds us that imagining possibilities is just as important as responding to immediate shifts.

    We need to understand both how AI is already reshaping education delivery and how new waves of change will remain on the horizon as tools grow more sophisticated and widespread.

    I want my students to leave my classroom with the ability to question, create, and collaborate using AI. I want them to see it not as a shortcut but as a tool for thinking more deeply and expressing themselves more fully. And I want them to watch me modeling those same habits: curiosity, caution, creativity, and ethical decision-making. Because if we don’t show them what responsible use looks like, who will?

    The future of education won’t be defined by whether we allow AI into our classrooms. It will be defined by how we teach with it, how we teach about it, and how we prepare our students to thrive in a world where it’s everywhere.

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  • Preserving critical thinking amid AI adoption

    Preserving critical thinking amid AI adoption

    Key points:

    AI is now at the center of almost every conversation in education technology. It is reshaping how we create content, build assessments, and support learners. The opportunities are enormous. But one quiet risk keeps growing in the background: losing our habit of critical thinking.

    I see this risk not as a theory but as something I have felt myself.

    The moment I almost outsourced my judgment

    A few months ago, I was working on a complex proposal for a client. Pressed for time, I asked an AI tool to draft an analysis of their competitive landscape. The output looked polished and convincing. It was tempting to accept it and move on.

    Then I forced myself to pause. I began questioning the sources behind the statements and found a key market shift the model had missed entirely. If I had skipped that short pause, the proposal would have gone out with a blind spot that mattered to the client.

    That moment reminded me that AI is fast and useful, but the responsibility for real thinking is still mine. It also showed me how easily convenience can chip away at judgment.

    AI as a thinking partner

    The most powerful way to use AI is to treat it as a partner that widens the field of ideas while leaving the final call to us. AI can collect data in seconds, sketch multiple paths forward, and expose us to perspectives we might never consider on our own.

    In my own work at Magic EdTech, for example, our teams have used AI to quickly analyze thousands of pages of curriculum to flag accessibility issues. The model surfaces patterns and anomalies that would take a human team weeks to find. Yet the real insight comes when we bring educators and designers together to ask why those patterns matter and how they affect real classrooms. AI sets the table, but we still cook the meal.

    There is a subtle but critical difference between using AI to replace thinking and using it to stretch thinking. Replacement narrows our skills over time. Stretching builds new mental flexibility. The partner model forces us to ask better questions, weigh trade-offs, and make calls that only human judgment can resolve.

    Habits to keep your edge

    Protecting critical thinking is not about avoiding AI. It is about building habits that keep our minds active when AI is everywhere.

    Here are three I find valuable:

    1. Name the fragile assumption
    Each time you receive AI output, ask: What is one assumption here that could be wrong? Spend a few minutes digging into that. It forces you to reenter the problem space instead of just editing machine text.

    2. Run the reverse test
    Before you adopt an AI-generated idea, imagine the opposite. If the model suggests that adaptive learning is the key to engagement, ask: What if it is not? Exploring the counter-argument often reveals gaps and deeper insights.

    3. Slow the first draft
    It is tempting to let AI draft emails, reports, or code and just sign off. Instead, start with a rough human outline first. Even if it is just bullet points, you anchor the work in your own reasoning and use the model to enrich–not originate–your thinking.

    These small practices keep the human at the center of the process and turn AI into a gym for the mind rather than a crutch.

    Why this matters for education

    For those of us in education technology, the stakes are unusually high. The tools we build help shape how students learn and how teachers teach. If we let critical thinking atrophy inside our companies, we risk passing that weakness to the very people we serve.

    Students will increasingly use AI for research, writing, and even tutoring. If the adults designing their digital classrooms accept machine answers without question, we send the message that surface-level synthesis is enough. We would be teaching efficiency at the cost of depth.

    By contrast, if we model careful reasoning and thoughtful use of AI, we can help the next generation see these tools for what they are: accelerators of understanding, not replacements for it. AI can help us scale accessibility, personalize instruction, and analyze learning data in ways that were impossible before. But its highest value appears only when it meets human curiosity and judgment.

    Building a culture of shared judgment

    This is not just an individual challenge. Teams need to build rituals that honor slow thinking in a fast AI environment. Another practice is rotating the role of “critical friend” in meetings. One person’s task is to challenge the group’s AI-assisted conclusions and ask what could go wrong. This simple habit trains everyone to keep their reasoning sharp.

    Next time you lean on AI for a key piece of work, pause before you accept the answer. Write down two decisions in that task that only a human can make. It might be about context, ethics, or simple gut judgment. Then share those reflections with your team. Over time this will create a culture where AI supports wisdom rather than diluting it.

    The real promise of AI is not that it will think for us, but that it will free us to think at a higher level.

    The danger is that we may forget to climb.

    The future of education and the integrity of our own work depend on remaining climbers. Let the machines speed the climb, but never let them choose the summit.

    Laura Ascione
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  • 10 reasons to upgrade to Windows 11 ASAP

    10 reasons to upgrade to Windows 11 ASAP

    K-12 IT leaders are under pressure from all sides–rising cyberattacks, the end of Windows 10 support, and the need for powerful new learning tools.

    The good news: Windows 11 on Lenovo devices delivers more than an upgrade–it’s a smarter, safer foundation for digital learning in the age of AI.

    Delaying the move means greater risk, higher costs, and missed opportunities. With proven ROI, cutting-edge protection, and tools that empower both teachers and students, the case for Windows 11 is clear.

    There are 10 compelling reasons your district should make the move today.

    1. Harness AI-powered educational innovation with Copilot
    Windows 11 integrates Microsoft Copilot AI capabilities that transform teaching
    and learning. Teachers can leverage AI for lesson planning, content creation, and
    administrative tasks, while students benefit from enhanced collaboration tools
    and accessibility features.

    2. Combat the explosive rise in school cyberattacks
    The statistics are alarming: K-12 ransomware attacks increased 92 percent between 2022 and 2023, with human-operated ransomware attacks surging over 200 percent globally, according to the 2024 State of Ransomware in Education.

    3. Combat the explosive rise in school cyberattacks
    Time is critically short. Windows 10 support ended in October 2025, leaving schools running unsupported systems vulnerable to attacks and compliance violations. Starting migration planning immediately ensures adequate time for device inventory, compatibility testing, and smooth district-wide deployment.

    Find 7 more reasons to upgrade to Windows 11 here.

    Laura Ascione
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  • Why busy educators need AI with guardrails

    Why busy educators need AI with guardrails

    Key points:

    In the growing conversation around AI in education, speed and efficiency often take center stage, but that focus can tempt busy educators to use what’s fast rather than what’s best. To truly serve teachers–and above all, students–AI must be built with intention and clear constraints that prioritize instructional quality, ensuring efficiency never comes at the expense of what learners need most.

    AI doesn’t inherently understand fairness, instructional nuance, or educational standards. It mirrors its training and guidance, usually as a capable generalist rather than a specialist. Without deliberate design, AI can produce content that’s misaligned or confusing. In education, fairness means an assessment measures only the intended skill and does so comparably for students from different backgrounds, languages, and abilities–without hidden barriers unrelated to what’s being assessed. Effective AI systems in schools need embedded controls to avoid construct‑irrelevant content: elements that distract from what’s actually being measured.

    For example, a math question shouldn’t hinge on dense prose, niche sports knowledge, or culturally-specific idioms unless those are part of the goal; visuals shouldn’t rely on low-contrast colors that are hard to see; audio shouldn’t assume a single accent; and timing shouldn’t penalize students if speed isn’t the construct.

    To improve fairness and accuracy in assessments:

    • Avoid construct-irrelevant content: Ensure test questions focus only on the skills and knowledge being assessed.
    • Use AI tools with built-in fairness controls: Generic AI models may not inherently understand fairness; choose tools designed specifically for educational contexts.
    • Train AI on expert-authored content: AI is only as fair and accurate as the data and expertise it’s trained on. Use models built with input from experienced educators and psychometricians.

    These subtleties matter. General-purpose AI tools, left untuned, often miss them.

    The risk of relying on convenience

    Educators face immense time pressures. It’s tempting to use AI to quickly generate assessments or learning materials. But speed can obscure deeper issues. A question might look fine on the surface but fail to meet cognitive complexity standards or align with curriculum goals. These aren’t always easy problems to spot, but they can impact student learning.

    To choose the right AI tools:

    • Select domain-specific AI over general models: Tools tailored for education are more likely to produce pedagogically-sound and standards-aligned content that empowers students to succeed. In a 2024 University of Pennsylvania study, students using a customized AI tutor scored 127 percent higher on practice problems than those without.
    • Be cautious with out-of-the-box AI: Without expertise, educators may struggle to critique or validate AI-generated content, risking poor-quality assessments.
    • Understand the limitations of general AI: While capable of generating content, general models may lack depth in educational theory and assessment design.

    General AI tools can get you 60 percent of the way there. But that last 40 percent is the part that ensures quality, fairness, and educational value. This requires expertise to get right. That’s where structured, guided AI becomes essential.

    Building AI that thinks like an educator

    Developing AI for education requires close collaboration with psychometricians and subject matter experts to shape how the system behaves. This helps ensure it produces content that’s not just technically correct, but pedagogically sound.

    To ensure quality in AI-generated content:

    • Involve experts in the development process: Psychometricians and educators should review AI outputs to ensure alignment with learning goals and standards.
    • Use manual review cycles: Unlike benchmark-driven models, educational AI requires human evaluation to validate quality and relevance.
    • Focus on cognitive complexity: Design assessments with varied difficulty levels and ensure they measure intended constructs.

    This process is iterative and manual. It’s grounded in real-world educational standards, not just benchmark scores.

    Personalization needs structure

    AI’s ability to personalize learning is promising. But without structure, personalization can lead students off track. AI might guide learners toward content that’s irrelevant or misaligned with their goals. That’s why personalization must be paired with oversight and intentional design.

    To harness personalization responsibly:

    • Let experts set goals and guardrails: Define standards, scope and sequence, and success criteria; AI adapts within those boundaries.
    • Use AI for diagnostics and drafting, not decisions: Have it flag gaps, suggest resources, and generate practice, while educators curate and approve.
    • Preserve curricular coherence: Keep prerequisites, spacing, and transfer in view so learners don’t drift into content that’s engaging but misaligned.
    • Support educator literacy in AI: Professional development is key to helping teachers use AI effectively and responsibly.

    It’s not enough to adapt–the adaptation must be meaningful and educationally coherent.

    AI can accelerate content creation and internal workflows. But speed alone isn’t a virtue. Without scrutiny, fast outputs can compromise quality.

    To maintain efficiency and innovation:

    • Use AI to streamline internal processes: Beyond student-facing tools, AI can help educators and institutions build resources faster and more efficiently.
    • Maintain high standards despite automation: Even as AI accelerates content creation, human oversight is essential to uphold educational quality.

    Responsible use of AI requires processes that ensure every AI-generated item is part of a system designed to uphold educational integrity.

    An effective approach to AI in education is driven by concern–not fear, but responsibility. Educators are doing their best under challenging conditions, and the goal should be building AI tools that support their work.

    When frameworks and safeguards are built-in, what reaches students is more likely to be accurate, fair, and aligned with learning goals.

    In education, trust is foundational. And trust in AI starts with thoughtful design, expert oversight, and a deep respect for the work educators do every day.

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  • Effective tools to foster student engagement

    Effective tools to foster student engagement

    Key points:

    In my classroom, students increasingly ask for relevant content. Students want to know how what they are learning in school relates to the world beyond the classroom. They want to be engaged in their learning.

    In fact, the 2025-2026 Education Insights Report vividly proves that students need and want engaging learning experiences. And it’s not just students who see engagement as important. Engagement is broadly recognized as a key driver of learning and success, with 93 percent of educators agreeing that student engagement is a critical metric for understanding overall achievement. What is more, 99 percent of superintendents believe student engagement is one of the top predictors of success at school.

    Creating highly engaging lesson plans that will immerse today’s tech-savvy students in learning can be a challenge, but here are two easy-to-find resources that I can turn to turbo-charge the engagement quotient of my lessons:

    Virtual field trips
    Virtual field trips empower educators to introduce students to amazing places, new people and ideas, and remarkable experiences–without ever leaving the classroom. There are so many virtual field trips out there, but I always love the ones that Discovery Education creates with partners.

    This fall, I plan to take my K-5 students to see the world’s largest solar telescope, located in Hawaii, for a behind-the-scenes tour with the National Science Foundation and Sesame. For those with older grades, I recommend diving into engineering and architecture with the new Forging Innovation: A Mission Possible Virtual Field Trip.

    I also love the virtual tours of the Smithsonian National Museum of Natural History. Together as a class or individually, students can dive into self-guided, room-by-room tours of several exhibits and areas within the museum from a desktop or smart device. This virtual field trip does include special collections and research areas, like ancient Egypt or the deep ocean. This makes it fun and easy for teachers like me to pick and choose which tour is most relevant to a lesson.

    Immersive learning resources
    Immersive learning content offers another way to take students to new places and connect the wider world, and universe, to the classroom. Immersive learning can be easily woven into the curriculum to enhance and provide context.

    One immersive learning solution I really like is TimePod Adventures from Verizon. It features free time-traveling episodes designed to engage students in places like Mars and prehistoric Earth. Now accessible directly through a web browser on a laptop, Chromebook, or mobile device, students need only internet access and audio output to begin the journey. Guided by an AI-powered assistant and featuring grade-band specific lesson plans, these missions across time and space encourage students to take control, explore incredible environments, and solve complex challenges.

    Immersive learning content can be overwhelming at first, but professional development resources are available to help educators build confidence while earning microcredentials. These resources let educators quickly dive into new and innovative techniques and teaching strategies that help increase student engagement.

    Taken together, engaging learning opportunities are ones that show students how classrooms learnings directly connect to their real lives. With resources like virtual field trips and immersive learning content, students can dive into school topics in ways that are fun, fresh, and sometimes otherworldly.

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  • How interactive tech simplifies IT and supercharges learning

    How interactive tech simplifies IT and supercharges learning

    Key points:

    Today’s school IT teams juggle endless demands–secure systems, manageable devices, and tight budgets–all while supporting teachers who need tech that just works.

    That’s where interactive displays come in. Modern, OS-agnostic solutions like Promethean’s ActivPanel 10 Premium simplify IT management, integrate seamlessly with existing systems, and cut down on maintenance headaches. For schools, that means fewer compatibility issues, stronger security, and happier teachers.

    But these tools do more than make IT’s job easier–they transform teaching and learning. Touch-enabled collaboration, instant feedback, and multimedia integration turn passive lessons into dynamic, inclusive experiences that keep students engaged and help teachers do their best work.

    Built to last, interactive displays also support long-term sustainability goals and digital fluency–skills that carry from classroom to career.

    Discover how interactive technology delivers 10 powerful benefits for schools.

    Download the full report and see how interactive solutions can help your district simplify IT, elevate instruction, and create future-ready classrooms.

    Laura Ascione
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  • 5 essential AI tech tools for back-to-school success

    5 essential AI tech tools for back-to-school success

    Key points:

    By now, the 2025-2026 school year is well underway. The glow of new beginnings has faded, and the process of learning has begun in earnest. No doubt there is plenty to do, but I recommend that educators take a moment and check in on their teaching toolkit.

    The tools of our trade are always evolving, and if our students are going to get the most out of their time in class, it’s important for us to familiarize ourselves with the newest resources for sparking curiosity, creativity, and critical thinking. This includes the latest AI programs that are making their way into the classroom.  

    Here are five AI tech tools that I believe are essential for back-to-school success: 

    1. ChatGPT: ChatGPT has quickly become the all-in-one tool for generating anything and everything. Many educators are (rightly) concerned about ChatGPT’s potential for student cheating, but this AI can also serve as a built-in assistant for creating welcome letters, student-friendly syllabi, and other common documents for the classroom. If it’s used responsibly, ChatGPT can assist teachers by cutting out the busy work involved when planning and implementing lessons.   
    2. ClassroomScreen: ClassroomScreen functions as a modern-day chalkboard. This useful tool lets teachers project a variety of information on screen while simultaneously performing classroom tasks. Teachers can take straw polls, share inspiring quotes, detail the morning schedule, and even monitor volume without opening a single tab. It’s a simple, multipurpose tool for classroom coordination.     
    3. SchoolAI: SchoolAI is a resource generator that provides safe, teacher-guided interactions between students and AI. With AI becoming increasingly common, it’s vital that students are taught how to use it safely, effectively, and responsibly. SchoolAI can help with this task by cultivating student curiosity and critical thinking without doing the work for them. Best of all, teachers remain at the helm the entire time, ensuring an additional layer of instruction and protection.       
    4. Snorkl: Snorkl is a feedback tool, providing students with instant feedback on their responses. This AI program allows students to record their thinking process on a digital whiteboard using a variety of customizable tools. With Snorkl, a teacher could send students a question with an attached image, then have them respond using audio, visual tools such as highlighting, and much more. It’s the perfect way to inject a little creativity into a lesson while making it memorable, meaningful, and fun!   
    5. Suno: Suno is unique in that it specializes in creative song generation. Looking for an engaging way to teach fractions? Upload your lesson to Suno and it can generate a catchy, educational song in the style of your favorite artist. Suno even allows users to customize lyrics so that the songs stay relevant to the lesson at hand. If you need a resource that can get students excited about learning, then Suno will be the perfect addition to your teaching toolkit!

    The world of education is always changing, and today’s technology may be outdated within a matter of years. Still, the mission of educators remains the same: to equip students with the skills, determination, and growth mindset they need to thrive in an uncertain future. By integrating effective tools into the classroom, we can guide them toward a brighter tomorrow–one where inquiry and critical thinking continue to flourish, both within the classroom and beyond.

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  • 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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  • 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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