Category: support

  • Reimagining teacher preparation to include student mental health supports

    Reimagining teacher preparation to include student mental health supports

    Key points:

    Teacher preparation programs have long emphasized curriculum, instruction, and assessment. However, they often fall short in one critical area: social-emotional and mental health needs of students.

    We work daily with students whose academic success is inseparable from their psychological well-being. Nonetheless, we witness new educators wishing they were trained in not just behavior management, but, nowadays, the non-academic needs of children. If preservice programs are going to meet the demands of today’s classrooms, they must include deeper coursework in counseling, psychology, and trauma-informed teaching practices.

    Students today are carrying heavier emotional burdens than ever before. Anxiety, bullying, depression, grief, trauma exposure (including complex trauma), and chronic stress are unfortunately quite common. The fallout rarely appears in uniform, typical, or recognizable ways. Instead, it shows up as behaviors teachers must interpret and address (i.e., withdrawal, defiance, irritability, avoidance, conflict, aggression and violence, or inconsistent work).

    Without formal training, it is easy to label these actions as simple “misbehaviors” instead of asking why. However, seasoned educators and mental health professionals know that behaviors (including misbehaviors) are a means of communication, and understanding the root cause of a student’s actions is essential to creating a supportive and effective classroom.

    Oftentimes, adults fall into a pattern of describing misbehaviors by children as “manipulative” as opposed to a need not being met. As such, adults (including educators) need to shift their mindsets. This belief is supported by research. Jean Piaget reminds us that children’s cognitive and emotional regulation skills are still developing and naturally are imperfect. Lev Vygotsky reminds us that learning and behavior are shaped by the quality of a child’s social interactions, including with the adults (such as teachers) in their lives. Abraham Maslow’s hierarchy further reinforces that psychological safety and belonging must be met before meaningful learning or self-control can occur, and teachers need to initiate psychological safety.

    Traditional classroom management training is often sparse in traditional preservice teacher training. It often emphasizes rules, procedures, and consequences. They absolutely matter, but the reality is far more nuanced. Behavior management and behavior recognition are not the same. A student who shuts down may be experiencing anxiety. A child who blurts out or becomes agitated may be reacting to trauma triggers in the environment. A student who frequently acts out may be seeking connection or stability in the only way they know how. Trauma-informed teaching (rooted in predictability, emotional safety, de-escalation, and relationship-building) is not just helpful, but is foundational in modern schools. Yet, many new teachers enter the profession with little to no formal preparation in these practices.

    The teacher shortage only heightens this need. Potential educators are often intimidated not by teaching content, but by the emotional and behavioral demands that they feel unprepared to address. Meanwhile, experienced teachers often cite burnout stemming from managing complex behaviors without adequate support. Courses focused on child development, counseling skills, and trauma-informed pedagogy would significantly improve both teacher confidence and retention. It would also be beneficial if subject-area experts (such as the counseling or clinical psychology departments of the higher education institution) taught these courses.

    Of note, we are not suggesting that teachers become counselors. School counselors, social workers, psychologists, and psychometrists play essential and irreplaceable roles. However, teachers are the first adults to observe subtle shifts in their students’ behaviors or emotional well-being. Oftentimes, traditional behavior management techniques and strategies can make matters worse in situations where trauma is the root cause of the behavior. When teachers are trained in the fundamentals of trauma-informed practice and creating emotionally safe learning environments, they can respond skillfully. They can collaborate with or refer students to clinical mental-health professionals for more intensive support.

    Teacher preparation programs must evolve to reflect the emotional realities of today’s classrooms. Embedding several clinically grounded courses in counseling, psychology, and trauma-informed teaching (taught by certified and/or practicing mental-health professionals) would transform the way novice educators understand and support their students. This would also allow for more studies and research to take place on the effectiveness of various psychologically saturated teaching practices, accounting for the ever-changing psychosocial atmosphere. Students deserve teachers who can see beyond behaviors and understand the rationale beneath it. Being aware of behavior management techniques (which is often pretty minimal as teacher-prep programs stand now) is quite different than understanding behaviors. Teachers deserve to be equipped with both academic and emotional tools to help every learner thrive.

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  • Edtech teaching strategies that support sustainability

    Edtech teaching strategies that support sustainability

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

    Key points:

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

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

    Rethinking teaching methods in the digital age

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

    Here are three edtech learning strategies:

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

    Sustainability and innovation in education

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

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

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

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

    Supporting teachers in the shift to edtech

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

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

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

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

    Bringing sustainability and enhanced learning to classrooms

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

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

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

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  • What we lose when AI replaces teachers

    What we lose when AI replaces teachers

    eSchool News is counting down the 10 most-read stories of 2025. Story #8 focuses on the debate around teachers vs. AI.

    Key points:

    A colleague of ours recently attended an AI training where the opening slide featured a list of all the ways AI can revolutionize our classrooms. Grading was listed at the top. Sure, AI can grade papers in mere seconds, but should it?

    As one of our students, Jane, stated: “It has a rubric and can quantify it. It has benchmarks. But that is not what actually goes into writing.” Our students recognize that AI cannot replace the empathy and deep understanding that recognizes the growth, effort, and development of their voice. What concerns us most about grading our students’ written work with AI is the transformation of their audience from human to robot.

    If we teach our students throughout their writing lives that what the grading robot says matters most, then we are teaching them that their audience doesn’t matter. As Wyatt, another student, put it: “If you can use AI to grade me, I can use AI to write.” NCTE, in its position statements for Generative AI, reminds us that writing is a human act, not a mechanical one. Reducing it to automated scores undermines its value and teaches students, like Wyatt and Jane, that the only time we write is for a grade. That is a future of teaching writing we hope to never see.

    We need to pause when tech companies tout AI as the grader of student writing. This isn’t a question of capability. AI can score essays. It can be calibrated to rubrics. It can, as Jane said, provide students with encouragement and feedback specific to their developing skills. And we have no doubt it has the potential to make a teacher’s grading life easier. But just because we can outsource some educational functions to technology doesn’t mean we should.

    It is bad enough how many students already see their teacher as their only audience. Or worse, when students are writing for teachers who see their written work strictly through the lens of a rubric, their audience is limited to the rubric. Even those options are better than writing for a bot. Instead, let’s question how often our students write to a broader audience of their peers, parents, community, or a panel of judges for a writing contest. We need to reengage with writing as a process and implement AI as a guide or aide rather than a judge with the last word on an essay score.

    Our best foot forward is to put AI in its place. The use of AI in the writing process is better served in the developing stages of writing. AI is excellent as a guide for brainstorming. It can help in a variety of ways when a student is struggling and looking for five alternatives to their current ending or an idea for a metaphor. And if you or your students like AI’s grading feature, they can paste their work into a bot for feedback prior to handing it in as a final draft.

    We need to recognize that there are grave consequences if we let a bot do all the grading. As teachers, we should recognize bot grading for what it is: automated education. We can and should leave the promises of hundreds of essays graded in an hour for the standardized test providers. Our classrooms are alive with people who have stories to tell, arguments to make, and research to conduct. We see our students beyond the raw data of their work. We recognize that the poem our student has written for their sick grandparent might be a little flawed, but it matters a whole lot to the person writing it and to the person they are writing it for. We see the excitement or determination in our students’ eyes when they’ve chosen a research topic that is important to them. They want their cause to be known and understood by others, not processed and graded by a bot.

    The adoption of AI into education should be conducted with caution. Many educators are experimenting with using AI tools in thoughtful and student-centered ways. In a recent article, David Cutler describes his experience using an AI-assisted platform to provide feedback on his students’ essays. While Cutler found the tool surprisingly accurate and helpful, the true value lies in the feedback being used as part of the revision process. As this article reinforces, the role of a teacher is not just to grade, but to support and guide learning. When used intentionally (and we emphasize, as in-process feedback) AI can enhance that learning, but the final word, and the relationship behind it, must still come from a human being.

    When we hand over grading to AI, we risk handing over something much bigger–our students’ belief that their words matter and deserve an audience. Our students don’t write to impress a rubric, they write to be heard. And when we replace the reader with a robot, we risk teaching our students that their voices only matter to the machine. We need to let AI support the writing process, not define the product. Let it offer ideas, not deliver grades. When we use it at the right moments and for the right reasons, it can make us better teachers and help our students grow. But let’s never confuse efficiency with empathy. Or algorithms with understanding.

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  • An educator’s top tips to integrate AI into the classroom

    An educator’s top tips to integrate AI into the classroom

    eSchool News is counting down the 10 most-read stories of 2025. Story #10 focuses on teaching strategies around AI.

    Key points:

    In the last year, we’ve seen an extraordinary push toward integrating artificial intelligence in classrooms. Among educators, that trend has evoked responses from optimism to opposition. “Will AI replace educators?” “Can it really help kids?” “Is it safe?” Just a few years ago, these questions were unthinkable, and now they’re in every K-12 school, hanging in the air.

    Given the pace at which AI technologies are changing, there’s a lot still to be determined, and I won’t pretend to have all the answers. But as a school counselor in Kansas who has been using SchoolAI to support students for years, I’ve seen that AI absolutely can help kids and is safe when supervised. At this point, I think it’s much more likely to help us do our jobs better than to produce any other outcome. I’ve discovered that if you implement AI thoughtfully, it empowers students to explore their futures, stay on track for graduation, learn new skills, and even improve their mental health.

    Full disclosure: I have something adjacent to a tech background. I worked for a web development marketing firm before moving into education. However, I want to emphasize that you don’t have to be an expert to use AI effectively. Success is rooted in curiosity, trial and error, and commitment to student well-being. Above all, I would urge educators to remember that AI isn’t about replacing us. It allows us to extend our reach to students and our capacity to cater to individual needs, especially when shorthanded.

    Let me show you what that looks like.

    Building emotional resilience

    Students today face enormous emotional pressures. And with national student-to-counselor ratios at nearly double the recommended 250-to-1, school staff can’t always be there right when students need us.

    That’s why I created a chatbot named Pickles (based on my dog at home, whom the kids love but who is too rambunctious to come to school with me). This emotional support bot gives my students a way to process small problems like feeling left out at recess or arguing with a friend. It doesn’t replace my role, but it does help triage students so I can give immediate attention to those facing the most urgent challenges.

    Speaking of which, AI has revealed some issues I might’ve otherwise missed. One fourth grader, who didn’t want to talk to me directly, opened up to the chatbot about her parents’ divorce. Because I was able to review her conversation, I knew to follow up with her. In another case, a shy fifth grader who struggled to maintain conversations learned to initiate dialogue with her peers using chatbot-guided social scripts. After practicing over spring break, she returned more confident and socially fluent.

    Aside from giving students real-time assistance, these tools offer me critical visibility and failsafes while I’m running around trying to do 10 things at once.

    Personalized career exploration and academic support

    One of my core responsibilities as a counselor is helping students think about their futures. Often, the goals they bring to me are undeveloped (as you would expect—they’re in elementary school, after all): They say, “I’m going to be a lawyer,” or “I’m going to be a doctor.” In the past, I would point them toward resources I thought would help, and that was usually the end of it. But I always wanted them to reflect more deeply about their options.

    So, I started using an AI chatbot to open up that conversation. Instead of jumping to a job title, students are prompted to answer what they’re interested in and why. The results have been fascinating—and inspiring. In a discussion with one student recently, I was trying to help her find careers that would suit her love of travel. After we plugged in her strengths and interests, the chatbot suggested cultural journalism, which she was instantly excited about. She started journaling and blogging that same night. She’s in sixth grade.

    What makes this process especially powerful is that it challenges biases. By the end of elementary school, many kids have already internalized what careers they think they can or can’t pursue–often based on race, gender, or socioeconomic status. AI can disrupt that. It doesn’t know what a student looks like or where they’re from. It just responds to their curiosity. These tools surface career options for kids–like esports management or environmental engineering–that I might not be able to come up with in the moment. It’s making me a better counselor and keeping me apprised of workforce trends, all while encouraging my students to dream bigger and in more detail.

    Along with career decisions, AI helps students make better academic decisions, especially in virtual school environments where requirements vary district to district. I recently worked with a virtual school to create an AI-powered tool that helps students identify which classes they need for graduation. It even links them to district-specific resources and state education departments to guide their planning. These kinds of tools lighten the load of general advising questions for school counselors and allow us to spend more time supporting students one on one.

    My advice to educators: Try it

    We tell our students that failure is part of learning. So why should we be afraid to try something new? When I started using AI, I made mistakes. But AI doesn’t have to be perfect to be powerful. Around the globe, AI school assistants are already springing up and serving an ever-wider range of use cases.

    I recommend educators start small. Use a trusted platform. And most importantly, stay human. AI should never replace the relationships at the heart of education. But if used wisely, it can extend your reach, personalize your impact, and unlock your students’ potential.

    We have to prepare our students for a world that’s changing fast–maybe faster than ever. I, for one, am glad I have AI by my side to help them get there.

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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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  • How tutors can support student thinking

    How tutors can support student thinking

    Key points:

    Consider the work of a personal trainer. They can explain and model a workout perfectly, but if the athlete isn’t the one doing the lifting, their muscles won’t grow. The same is true for student learning. If students only copy notes or nod along, their cognitive muscles won’t develop. Cognitive lift is the mental work students do to understand, apply, and explain academic content. It’s not about giving students harder problems or letting them struggle alone. It’s about creating space for them to reason and stretch their thinking.

    Research consistently shows that students learn more when they are actively engaged with the material, rather than passively observe. Learners often forget what they’ve “learned” if they only hear an explanation. That’s why great tutors don’t just explain material clearly–they get students to explain it clearly. 

    Tutoring, with its small group format, is the ideal space to encourage students’ cognitive lift. While direct instruction and clear explanations are essential at the right times in the learning process, tutorials offer a powerful opportunity for students to engage deeply and productively practice with support.

    The unique power of tutorials

    Small-group tutorials create conditions that are harder to foster in a full classroom. Having just a few students, tutors can track individual student thinking and adjust support quickly. Students gain more chances to voice reasoning, test ideas, and build confidence. Tutorials rely on strong relationships, and when students trust their tutor, they’re more willing to take risks, share half-formed thoughts, and learn from mistakes. 

    It’s easier to build space for every student to participate and shine in a tutorial than in a full class. Tutors can pivot when they notice students aren’t actively thinking. They may notice they’re overexplaining and can step back, shifting the cognitive responsibility back to the students. This environment gives each learner the opportunity to thrive through cognitive lift.

    What does cognitive lift look like?

    What does cognitive lift look like in practice? Picture two tutorials where students solve equations like they did in class. In the first, the tutor explains every step, pausing only to ask quick calculations like, “What’s 5 + 3?” The student might answer correctly, but solving isolated computations doesn’t mean they’re engaged with solving the equation.

    Now imagine a second tutorial. The tutor begins with, “Based on what you saw in class, where could we start?” The student tries a strategy, gets stuck, and the tutor follows up: “Why didn’t that work? What else could you try?” The student explains their reasoning, reflects on mistakes, and revises. Here, they do the mental heavy lifting–reaching a solution and building confidence in their ability to reason through challenges.

    The difference is the heart of cognitive lift. When tutors focus on students applying knowledge and explaining thinking, they foster longer-term learning. 

    Small shifts, big impact

    Building cognitive lift doesn’t require a complete overhaul. It comes from small shifts tutors can make in every session. The most powerful is moving from explaining to asking. Instead of “Let me show you,” tutors can try “How might we approach this?” or “What do you notice?” Tutoring using questions over explanations causes students to do more work and learn more.

    Scaffolds–temporary supports that help students access new learning–can support student thinking without taking over. Sentence stems and visuals guide thinking while keeping responsibility with the student. Simple moves like pausing for several seconds after questions (which tutors can count in their heads) and letting students discuss with a partner also create space for reasoning. 

    This can feel uncomfortable for tutors–resisting the urge to “rescue ” students too quickly can be emotionally challenging. But allowing students to wrestle with ideas while still feeling supported is where great learning happens and is the essence of cognitive lift.

    The goal of tutoring

    Tutors aren’t there to make learning easy–they’re there to create opportunities for students to think and build confidence in facing new challenges. Just like a personal trainer doesn’t lift the weights, tutors shouldn’t do the mental work for students. As athletes progress, they add weight and complete harder workouts. Their muscles strengthen as their trainer encourages them to persist through the effort. In the same way, as the academic work becomes more complex, students strengthen their abilities by wrestling with the challenge while tutors coach, encourage, and cheer.

    Success in a tutorial isn’t measured by quick answers, but by the thinking students practice. Cognitive lift builds independence, deepens understanding, and boosts persistence. It’s also a skill tutors develop, and with the right structures, even novices can foster it. Imagine tutorials where every learner has space to reason, take risks, and grow. When we let students do the thinking, we not only strengthen their skills, we show them we believe in their potential.

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  • More parents are homeschooling–and turning to podcasts for syllabus support

    More parents are homeschooling–and turning to podcasts for syllabus support

    Key points:

    A revolution quietly underway in American education: the rise of homeschooling. In the past decade, there’s been a 61 percent increase in homeschool students across the United States, making it the fastest growing form of education in the country. You might not have noticed (I didn’t, at first), because only about 6 percent of students are homeschooled nationally. But that number is nearly double what it was just two years ago.

    Then I noticed something that made me take a closer look closer to home. At Starglow Media, the podcast company I founded in 2023, nearly 20 percent of our listenership comes from homeschool families. That substantially overindexes against the national population. In other words, podcasts were particularly popular in the homeschool community.

    I was curious, for my business and in general. We make podcasts for kids (and their parents)  without any specific content for homeschool families. Why was audio resonating so well with this audience? I did some digging, and the answers surprised me.

    First, I wanted to find out why homeschooling was booming. According to the Washington Post, the explosive growth is consistent across “every measurable line of politics, geography, and demographics.” Experts have offered multiple explanations. Some families started homeschooling during COVID and never went back, others want greater say in what their children learn. Some families feel their kids are safer from violence and discrimination at home, others think it’s a better environment for children with disabilities. All these reasons collectively suggest a broader motivation: people are dissatisfied with the traditional education system and are taking it into their own hands.

    None of these factors, however, explained why podcasts were popular among homeschool families. So I decided to ask the question myself. I reached out to some Starglow listeners in the Starglow community to hear what about the format was appealing to them. Three main themes emerged.

    Many people told me that podcasts are uniquely well-suited to address educational hurdles facing homeschool families. When you’re a homeschool parent, it can be difficult to navigate all the resources that inform lesson planning while ensuring that the content is age- and subject-appropriate. Parents have found podcasts to be an intuitive way to elevate their curricula. They can search for subjects, filter by age group, and trust that the content is suitable for their kids. Ads on the network add another layer of value–because parents can trust the content, they tend to trust further educational materials promoted via the same channels. Simply put, the podcast ecosystem offers a reliable means to supplement lesson plans.

    They also offer a clear financial benefit. Homeschooling can be expensive, especially in STEM, but the majority of states don’t offer government subsidies for homeschool education. Podcasts have proven to be a cost-effective way to supplement at-home learning modules. Parents appreciate that it’s free to listen.

    Lastly–and this came up in nearly every conversation–they fit in well to homeschool life. Routine is a critical part of any educational context, and podcasts are useful anchors in the school day. Parents can easily pair podcasts with lessons at any point in their day, whether it’s a current events primer paired with a news podcast over breakfast or a specific episode of “Who Smarted” (our most popular educational podcast) about how snow forms worked into a science lesson. In this way, podcasts are becoming an integral part of family life in the homeschool community. Educational content like “Who Smarted” or an age-appropriate audiobook of “Moby Dick” may be the gateway, but families tend to co-listen throughout the day, whether it’s to KidsNuz over coffee or a Koala Moon story at night.

    What does all this mean? Homeschooling is growing, and with it is the need for flexible, affordable, and trustworthy educational content. To meet that demand, families are turning to audio, which offers age-appropriate solutions that can be worked into family life through regular co-listening.

    I expect that the homeschool movement will continue to grow, because new formats and strategies are offering families new opportunities. That’s good news, because we need innovation in education right now. Test scores are falling, literacy is in decline, and school absenteeism hasn’t fully bounced back from the pandemic. The homeschool surge is just one indicator of our increased dissatisfaction with the status quo. If we want to course correct, we all need to embrace new resources, podcasts or otherwise, to enhance education at home and in the classroom. New media has the potential to transform how people teach–we should embrace the opportunity.

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  • How AI is streamlining special education

    How AI is streamlining special education

    Key points:

    Districts nationwide are grappling with increased special education demands amid persistent staff shortages and compliance pressures. At the intersection of technology and student support, Maura Connor, chief operating officer of Better Speech, is leading the launch of Streamline, an AI-powered special education management platform designed to ease administrative burdens and enhance service delivery.

    In this Q&A, Connor discusses the realistic, responsible ways AI can empower educators, optimize workflows, and foster stronger connections between schools and families.

    1. Many districts are experiencing an increase in special education caseloads while struggling with staff shortages and retention. From your perspective, where can AI most realistically help relieve pressure on special educators without compromising their quality of service?

    AI is most impactful when it handles time-intensive, repetitive tasks that don’t require nuanced human judgment. For example, AI can assist in drafting initial progress or intervention notes and tracking intervention outcomes to help identify students who may need additional support. By automating these administrative tasks, special educators and service providers can spend more time delivering direct instruction or therapy, collaborating with colleagues, and planning individualized support for students.

    Importantly, AI is a tool that augments, not replaces, human expertise. It can relieve pressure in the special education ecosystem while allowing educators to maintain the high-quality services students need.

    2. Special education leaders need to balance efficiency with compliance when it comes to IEP evaluations and goals. How can AI help schools and districts with this?

    AI can standardize data collection and analysis, ensuring evaluations capture all legally required components while reducing the manual burden. Advanced AI analytics can also flag potential compliance gaps before they become serious risks and help identify patterns across a student’s performance.

    For case managers and providers, especially those new to special education, AI can accelerate skill-building by helping draft legally-defensible, evidence-based IEP goals and recommendations. Rather than spending hours on formatting and documentation, this allows educators and administrators to focus on meaningful decision-making, personalized student support, and family engagement.

    3. Beyond easing paperwork, what are some practical ways school and district leaders can use AI to reallocate staff time toward more student-facing work?

    AI can help leaders identify trends and bottlenecks across their special education programs, such as caseload imbalances, scheduling inefficiencies, budget planning, or capacity in high-demand intervention areas. By surfacing these insights, districts can make data-informed staffing adjustments, prioritize coaching and professional development, and streamline workflows so teachers and service providers are freed up for individual instruction, small-group interventions, and collaborative planning.

    Essentially, AI can turn administrative time into actionable intelligence that translates directly into better targeted student support.

    4. When it comes to parent engagement, how can AI support stronger, more transparent communication between schools and families?

    Parent engagement in the special education process can be a sensitive experience for districts and families alike. And, it’s a critical challenge we often hear about from leaders and teachers.

    AI relieves some of the pressure by generating clear, real-time updates on student progress. In this way, AI can increase transparency and communication, helping families stay informed and engaged without overwhelming staff through repetitive outreach. For example, automated notifications about milestones, progress toward IEP goals, or upcoming meetings can ensure families receive timely, understandable information.

    AI can also assist in translating materials for non-English-speaking families, creating more equitable access to information and empowering parents to be active partners in their child’s education.

    5. Given the growing availability and use of generative AI tools, how can school and district leaders set guardrails to ensure educators use these tools ethically and securely?

    Responsible and ethical use of AI in education starts with districts setting clear policies and engaging in targeted professional development. Leaders should define boundaries around student data privacy, clarify when AI outputs require human review, and provide training on responsible AI use. AI should always enhance staff capacity without compromising student safety or the integrity of decision-making. Since AI can “hallucinate,” it is absolutely critical that educators and providers use their own professional and clinical judgment in reviewing and approving any recommendations generated by AI. Districts should also consider using a proprietary, evidence-based LLM engine instead of open-source AI tools to lessen this risk.

    Establishing guardrails also means monitoring usage, maintaining transparency with families, and fostering a culture where AI is a support, not a replacement, for professional and clinical judgment.

    6. Overall, what role can AI-powered analytics play in helping school and district leaders make more data-driven, proactive decisions?

    AI-powered analytics can transform reactive management into proactive planning. By aggregating and analyzing multiple data points–from academic performance to intervention outcomes–leaders can identify trends and potential compliance issues before they become legal risks. District leaders can also allocate resources more strategically and design targeted programs for students who need the most support or readily plan for coverage or extra resources when settings need to increase capacity.

    Overall, AI’s predictive capability can help districts move beyond compliance toward strategic continuous improvement, ensuring every decision is informed by actionable insights rather than intuition alone.

    Maura Connor is Chief Operating Officer of Better Speech, where she leads the launch of Streamline, an AI-powered special education management platform that reduces administrative burden and empowers schools to better support students and families. With extensive leadership experience across education and healthcare technology, she specializes in scaling organizations, driving innovation, and advancing solutions that improve outcomes for children and communities.

    Laura Ascione
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  • Teaching isn’t about perfection, it’s about showing up–here’s how to do that

    Teaching isn’t about perfection, it’s about showing up–here’s how to do that

    Key points:

    When I walked into my first classroom almost a decade ago, I had no idea how many “first days” I would experience–and how each one would teach me something new.

    Growing up–first in the Virgin Islands and then later in Florida–I always felt pulled toward teaching. Tutoring was my introduction, and I realized early that I was a helper by nature. Still, my path into the classroom wasn’t straightforward–I changed majors in college, tried different things, and it wasn’t until six months after graduation that a friend pointed me toward Teach For America. That leap took me all the way to Baton Rouge, Louisiana, far from home and family, but I was fortunate to find a strong cohort of fellow teachers and mentors who grounded me.

    Those early years weren’t easy. Being away from home, balancing the demands of teaching, and later, raising two kids of my own–it could feel overwhelming. My mentors kept me steady, reminding me that teaching is about community and connection. That lesson has never left me. 

    As I started this school year–my eighth first day of school at the front of the classroom–I’m reflecting on other lessons learned that help me help my students thrive.

    Connection is the key to everything. If students know you believe in them, they’ll start believing in themselves. I think of one student in particular who was failing in my class repeatedly, and finally passed–not because I’m a miracle worker, but because we built trust. I bought into him, and eventually, he bought into himself. Those are the moments that make the long days and sacrifices worth it.

    Make your classroom a safe space to learn. I teach 10th-grade biology and 11th-grade dual-enrollment engineering; these are subjects that can seem intimidating to young people. I tell my students that I want to hear each and every one of their ideas. No one’s brains are alike. My brain isn’t like yours, and yours isn’t like your neighbor’s. Listening to everyone’s thoughts, processes, and ideas helps us expand our own thinking and understanding. Especially with a subject matter like science, I want students to know that there is no shame in exploring different ideas together. In fact, that’s what makes this kind of work exciting.

    Lean on your network. We preach the importance of continuous learning to our students, and rightfully so. There is always room to grow in every subject. I believe teachers need to model this for our students. I lean heavily on my support system: my mentors, my master teacher, and other educators and coaches. They are always there to bounce ideas off of, helping me continue to strengthen my lessons and outcomes. This also builds community; two of my mentors, Sabreen Thorne and Marie Mullen, are Teach For America Greater Baton Rouge alumnae who still work for the organization and still make the effort to keep in touch, invite me to community events, and offer me words of wisdom.

    I’m proud that these approaches have been working. This past year, our school, Plaquemine High School, saw the most improved test scores in the Iberville Parish School District. It wasn’t magic–it was the collective effort of teachers and students who decided we could do better, together. I was also honored to receive the Shell Science Lab Regional Makeover grant, which provides us with resources to upgrade our science lab. We’ll be able to provide the equipment our students deserve. Science classrooms should be safe spaces where every idea matters, where students feel empowered to experiment, question, and create. This grant will help us bring that vision to life.

    Eight years in, I’ve learned that teaching isn’t about perfection. It’s about showing up, reflecting, leaning on others, and never losing sight of why we’re here: to open doors for kids. Every year, every day, is another chance to do just that.

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