Category: educators

  • Why empowering students sets the best course for future success

    Why empowering students sets the best course for future success

    Key points:

    When middle school students make the leap to high school, they are expected to have a career path in mind so their classes and goals align with their future plans. That’s a tremendous ask of a teenager who is unaware of the opportunities that await them–and emerging careers that have yet to exist.

    Mentors, parents, and educators spend so much time urging students to focus on their future that we do them a disservice by distracting them from their present–their passions, their interests, their hobbies. This self-discovery, combined with exposure to various career fields, fuels students’ motivation and serves as a guidebook for their professional journey.

    To meet their mission of directing every student toward an individualized post-secondary plan, schools need to prioritize recognizing each student’s lifestyle goals. That way, our kids can find their best-fit career and develop greater self-awareness of their own identity.

    Give students greater autonomy over their career exploration

    The most problematic aspect of traditional career-readiness programs is that they’re bound so tightly to the classes in which a student excels.

    For example, a high schooler on a technology track might be assigned an engineer as a mentor. However, that same student may also possess a love for writing, but because their core classes are science-based, they may never learn how to turn that passion into a career in the engineering field, whether as a UX writer, technical editor, or tech journalist. 

    Schools have the opportunity to help students identify their desired lifestyle, existing strengths, and possible career paths. In Aurora Public Schools in Nebraska, the district partnered with our company, Find Your Grind, an ESSA Tier 2 validated career exploration program, to guide students through a Lifestyle Assessment, enabling them to discover who they are now and who they want to become. Through this approach, teachers helped surface personalized careers, mentors, and pathway courses that aligned with students’ lifestyle goals.

    Meanwhile, in Ohio, school districts launched Lifestyle Fairs, immersive, future-ready events designed to introduce students to real-world career experiences, industry mentors, and interactive learning grounded in self-discovery. Hilliard City Schools, for example, welcomed more than seventh-grade students to a Lifestyle Fair this past May. 

    Rather than rely on a conventional booth-style setup, Hilliard offered interactive activations that centered on 16 lifestyle archetypes, including Competitor, Explorer, Connector, and Entrepreneur. The stations allowed students to engage with various industry leaders and participate in hands-on activities, including rocket launch simulations and creative design challenges, to ignite their curiosity. Following the Fair, educators reported increased student engagement and a renewed enthusiasm for learning about potential career paths.

    Create a fluidity path for future success

    According to the World Economic Forum, by 2030, 97 million jobs will be displaced by AI, significantly impacting lower-wage earners and workers of color. At the same time, 170 million new jobs are expected to be created, especially in emerging fields. By providing students more freedom in their career exploration, educators can help them adapt to this ever-changing 21st-century job market.

    Now is the time for school districts to ensure all students have access to equitable career planning programs and work to close societal disparities that hinder professional opportunities. Instead of setting students on a predetermined pathway toward a particular field–which may or may not exist a decade from now–educators must equip them with future-proof and transferable core skills, including flexibility, initiative, and productivity, in addition to job-specific skills. As the job market shifts, students will be prepared to change direction, switch jobs, and pivot between careers. 

    In Hawaii, students are taking advantage of career exploration curriculum that aligns with 21st-century career and technical education (CTE) frameworks. They are better prepared to complete their Personal Transition Plans, which are required for graduation by the state, and have access to micro-credentials that give them real-world experience in different industries rather than one particular field.

    For decades, career planning has placed students in boxes, based on what the adults in their lives expect of them. Ensuring every child reaches their full professional potential means breaking down the barriers that have been set up around them and allowing them to be at the center of their own career journey. When students are empowered to discover who they are and where they want to be, they are excited to explore all the incredible opportunities available to them. 

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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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  • 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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  • Creating a classroom built for success

    Creating a classroom built for success

    Key points:

    For decades, curriculum, pedagogy, and technology have evolved to meet the changing needs of students. But in many schools, the classroom environment itself hasn’t kept pace. Classic layouts that typically feature rows of desks, limited flexibility, and a single focal point can often make it harder for educators to support the dynamic ways students learn today.

    Classrooms are more than places to sit–when curated intentionally, they can become powerful tools for learning. These spaces can either constrain or amplify great teaching. By reimagining how classrooms are designed and used, schools can create environments that foster engagement, reduce stress, and help both teachers and students thrive.

    Designing a classroom for student learning outcomes and well-being

    Many educators naturally draw on their own school experiences when shaping classroom environments, often carrying forward familiar setups that reflect how they once learned. Over time, these classic arrangements have become the norm, even as today’s students benefit from more flexible, adaptable spaces that align with modern teaching and learning needs.

    The challenge is that classic classroom setups don’t always align with the ways students learn and interact today. With technology woven into nearly every aspect of their lives, students are used to engaging in environments that are more dynamic, collaborative, and responsive. Classrooms designed with flexibility in mind can better mirror these experiences, supporting teaching and learning in meaningful ways, even without using technology.

    To truly engage students, the classroom must become an active participant in the learning process. Educational psychologist Loris Malaguzzi famously described the classroom as the “third teacher,” claiming it has just as much influence in a child’s development as parents or educators. With that in mind, teachers should be able to lean on this “teacher” to help keep students engaged and attentive, rather than doing all the heavy lifting themselves.

    For example, rows of desks often limit interaction and activity, forcing a singular, passive learning style. Flexible seating, on the other hand, encourages active participation and peer-to-peer learning, allowing students to easily move and reconfigure their learning spaces for group work or individual work time.

    I saw this firsthand when I was a teacher. When I moved into one of my third-grade classrooms, I was met with tables that quickly proved insufficient for the needs of my students. I requested a change, integrating alternative seating options and giving students the freedom to choose where they felt most comfortable learning. The results exceeded my expectations. My students were noticeably more engaged, collaborative, and invested in class discussions and activities. That experience showed me that even the simplest changes to the physical learning environment can have a profound impact on student motivation and learning outcomes.

    Allowing students to select their preferred spot for a given activity or day gives them agency over their learning experience. Students with this choice are more likely to engage in discussions, share ideas, and develop a sense of community. A comfortable and deliberately designed environment can also reduce anxiety and improve focus. This means teachers experience fewer disruptions and less need for intervention, directly alleviating a major source of stress by decreasing the disciplinary actions educators must make to resolve classroom misbehavior. With less disruption, teachers can focus on instruction.

    Supporting teachers’ well-being

    Just as classroom design can directly benefit student outcomes, it can also contribute to teacher well-being. Creating spaces that support collaboration among staff, provide opportunities to reset, and reduce the demands of the job is a tangible first step towards developing a more sustainable environment for educators and can be one factor in reducing turnover.

    Intentional classroom design should balance consistency with teacher voice. Schools don’t need a one-size-fits-all model for every room, but they can establish adaptable design standards for each type of space, such as science labs, elementary classrooms, or collaboration areas. Within those frameworks, teachers should be active partners in shaping how the space works best for their instruction. This approach honors teacher expertise while ensuring that learning environments across the school are both flexible and cohesive.

    Supporting teacher voice and expertise also encourages “early adopters” to try new things. While some teachers may jump at the opportunity to redesign their space, others might be more hesitant. For those teachers, school leaders can help ease these concerns by reinforcing that meaningful change doesn’t require a full-scale overhaul. Even small steps, like rearranging existing furniture or introducing one or two new pieces, can make a space feel refreshed and more responsive to both teaching and learning needs. To support this process, schools can also collaborate with learning environment specialists to help educators identify practical starting points and design solutions tailored to their goals.

    Designing a brighter future for education

    Investing in thoughtfully designed school environments that prioritize teacher well-being isn’t just about creating a more pleasant workplace; it’s a strategic move to build a stronger, more sustainable educational system. By providing teachers with flexible, adaptable, and future-ready classrooms, schools can address issues like stress, burnout, and student disengagement. When educators feel valued and empowered in their spaces, they create a better work environment for themselves and a better learning experience for their students. Ultimately, a supportive, well-designed classroom is an environment that sets both educators and students up for success.

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  • 3 strategies to boost student reading fluency this school year

    3 strategies to boost student reading fluency this school year

    Key points:

    With the new school year now rolling, teachers and school leaders are likely being hit with a hard truth: Many students are not proficient in reading.

    This, of course, presents challenges for students as they struggle to read new texts and apply what they are learning across all subject areas, as well as for educators who are diligently working to support students’ reading fluency and overall academic progress. 

    Understanding the common challenges students face with reading–and knowing which instructional strategies best support their growth–can help educators more effectively get students to where they need to be this school year.

    Understanding the science of learning

    Many districts across the country have invested in evidence-based curricula grounded in the science of reading to strengthen how foundational skills such as decoding and word recognition are taught. However, for many students, especially those receiving Tier 2 and Tier 3 interventions, this has not been enough to help them develop the automatic word recognition needed to become fluent, confident readers.

    This is why coupling the science of reading with the science of learning is so important when it comes to reading proficiency. Simply stated, the science of learning is how students learn. It identifies the conditions needed for students to build automaticity and fluency in complex skills, and it includes principles such as interleaving, spacing practice, varying tasks, highlighting contrasts, rehearsal, review, and immediate feedback–all of which are essential for helping students consolidate and generalize their reading skills.

    When these principles are intentionally combined with the science of reading’s structured literacy principles, students are able to both acquire new knowledge and retain, retrieve, and apply it fluently in new contexts.

    Implementing instructional best practices

    The three best practices below not only support the use of the science of learning and the science of reading, but they give educators the data and information needed to help set students up for reading success this school year and beyond. 

    Screen all students. It is important to identify the specific strengths and weaknesses of each student as early as possible so that educators can personalize their instruction accordingly.

    Some students, even those in upper elementary and middle school, may still lack foundational skills, such as decoding and automatic word recognition, which in turn negatively impact fluency and comprehension. Using online screeners that focus on decoding skills, as well as automatic word recognition, can help educators more quickly understand each student’s needs so they can efficiently put targeted interventions in place to help.

    Online screening data also helps educators more effectively communicate with parents, as well as with a student’s intervention team, in a succinct and timely way.

    Provide personalized structured, systematic practice. This type of practice has been shown to help close gaps in students’ foundational skills so they can successfully transfer their decoding and automatic word recognition skills to fluency. The use of technology and online programs can optimize the personalization needed for students while providing valuable insights for teachers.

    Of course, when it comes to personalizing practice, technology should always enhance–not replace–the role of the teacher. Technology can help differentiate the questions and lessons students receive, track students’ progress, and engage students in a non-evaluative learning environment. However, the personal attention and direction given by a teacher is always the most essential aid, especially for struggling readers. 

    Monitor progress on oral reading. Practicing reading aloud is important for developing fluency, although it can be very personal and difficult for many struggling learners. Students may get nervous, embarrassed, or lose their confidence. As such, the importance of a teacher’s responsiveness and ongoing connection while monitoring the progress of a student cannot be overstated.

    When teachers establish the conditions for a safe and trusted environment, where errors can occur without judgment, students are much more motivated to engage and read aloud. To encourage this reading, teachers can interleave passages of different lengths and difficulty levels, or revisit the same text over time to provide students with spaced opportunities for practice and retrieval. By providing immediate and constructive feedback, teachers can also help students self-correct and refine their skills in real time.

    Having a measurable impact

    All students can become strong, proficient readers when they are given the right tools, instruction, and support grounded in both the science of learning and the science of reading. For educators, this includes screening effectively, providing structured and personalized practice, and creating environments where students feel comfortable learning and practicing skills and confident reading aloud.

    By implementing these best practices, which take into account both what students need to learn and how they learn best, educators can and will make a measurable difference in students’ reading growth this school year.

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  • Making career readiness meaningful in today’s classrooms

    Making career readiness meaningful in today’s classrooms

    Key points:

    As a high school STEM teacher at Baldwin Preparatory Academy, I often ask myself: How can we make classroom learning more meaningful for our students? In today’s rapidly evolving world, preparing learners for the future isn’t about gathering academic knowledge. It is also about helping all learners explore potential careers and develop the future-ready skills that will support success in the “real world” beyond graduation.

    One way to bring those two goals together is by drawing a clear connection between what is learned in the classroom and future careers. In fact, research from the Education Insights Report shows that a whopping 87 percent of high school students believe that career connections make school engaging–and as we all know, deeper student engagement leads to improved academic growth.

    I’ve tried a lot of different tactics to get kids engaged in careers over my 9 years of teaching. Here are my current top recommendations:

    Internship opportunities
    As many educators know, hands-on learning is effective for students. The same goes for learning about careers. Internship opportunities give students a way to practice a career by doing the job.

    I advise students to contact local businesses about internships during the school year and summer. Looking local is a wonderful way to make connections, learn an industry, and practice career skills–all while gaining professional experience.

    Tallo is another good internship resource because it’s a digital network of internships across a range of industries and internship types. With everything managed in Tallo, it’s easy for high school students to find and get real-world work experience relevant to school learning and career goals. For educators, this resource is helpful because it provides pathways for students to gain employable skills and transition into the workforce or higher education.

    Career events
    In-person career events where students get to meet individuals in industries they are interested in are a great way for students to explore future careers. One initiative that stands out is the upcoming Futures Fair by Discovery Education. Futures Fair is a free virtual event on November 5, 2025, to inspire and equip students for career success.

    Held over a series of 30-minute virtual sessions, students meet with professionals from various industries sharing an overview of their job, industry, and the path they took to achieve it. Organizations participating in the Futures Fair are 3M, ASME, Clayco, CVS Health, Drug Enforcement Administration, Genentech, Hartford, Honda, Honeywell, Illumina, LIV Golf, Meta, Norton, Nucor, Polar Bears International, Prologis, The Home Depot, Verizon, and Warner Bros. Discovery.

    Students will see how the future-ready skills they are learning today are used in a range of careers. These virtual sessions will be accompanied by standards-aligned, hands-on student learning tasks designed to reinforce the skills outlined by industry presenters. 

    CTE Connections
    All students at Baldwin Preparatory Academy participate in a career and technical education pathway of their choosing, taking 6-9 career specific credits, and obtaining an industry-recognized credential over the course of their secondary education. As a STEM teacher, I like to connect with my CTE and core subject colleagues to learn about the latest innovations in their space. Then I connect those innovations to my classroom instruction so that all students get the benefit of learning about new career paths.

    For example, my industry partners advise me about the trending career clusters that are experiencing significant growth in job demand. These are industries like cybersecurity, energy, and data science. With this insight, I looked for relevant reads or classroom activities related to one of those clusters. Then, I shared the resources back with my CTE and core team so there’s an easy through line for the students.

    As educators, our role extends beyond teaching content–we’re shaping futures. Events like Futures Fair and other career readiness programs help students see the relevance of their learning and give them the confidence to pursue their goals. With resources like these, we can help make career readiness meaningful, engaging, and empowering for every student.

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

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

    Key points:

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

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

    Readers will discover how Windows 11:

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

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

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

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

    Laura Ascione
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  • Why critical data literacy belongs in every K–12 classroom

    Why critical data literacy belongs in every K–12 classroom

    Key points:

    An unexpected group of presenters–11th graders from Whitney M. Young Magnet High School in Chicago–made a splash at this year’s ACM Conference on Fairness, Accountability, and Transparency (FAccT). These students captivated seasoned researchers and professionals with their insights on how school environments shape students’ views of AI. “I wanted our project to serve as a window into the eyes of high school students,” said Autumn Moon, one of the student researchers.

    What enabled these students to contribute meaningfully to a conference dominated by PhDs and industry veterans was their critical data literacy–the ability to understand, question, and evaluate the ethics of complex systems like AI using data. They developed these skills through their school’s Data is Power program.

    Launched last year, Data is Power is a collaboration among K-12 educators, AI ethics researchers, and the Young Data Scientists League. The program includes four pilot modules that are aligned to K-12 standards and cover underexplored but essential topics in AI ethics, including labor and environmental impacts. The goal is to teach AI ethics by focusing on community-relevant topics chosen by our educators with input from students, all while fostering critical data literacy. For example, Autumn’s class in Chicago used AI ethics as a lens to help students distinguish between evidence-based research and AI propaganda. Students in Phoenix explored how conversational AI affects different neighborhoods in their city.

    Why does the Data is Power program focus on critical data literacy? In my former role leading a diverse AI team at Amazon, I saw that technical skills alone weren’t enough. We needed people who could navigate cultural nuance, question assumptions, and collaborate across disciplines. Some of the most technically proficient candidates struggled to apply their knowledge to real-world problems. In contrast, team members trained in critical data literacy–those who understood both the math and the societal context of the models–were better equipped to build responsible, practical tools. They also knew when not to build something.

    As AI becomes more embedded in our lives, and many students feel anxious about AI supplanting their job prospects, critical data literacy is a skill that is not just future-proof–it is future-necessary. Students (and all of us) need the ability to grapple with and think critically about AI and data in their lives and careers, no matter what they choose to pursue. As Milton Johnson, a physics and engineering teacher at Bioscience High School in Phoenix, told me: “AI is going to be one of those things where, as a society, we have a responsibility to make sure everyone has access in multiple ways.”

    Critical data literacy is as much about the humanities as it is about STEM. “AI is not just for computer scientists,” said Karren Boatner, who taught Autumn in her English literature class at Whitney M. Young Magnet High School. For Karren, who hadn’t considered herself a “math person” previously, one of the most surprising parts of the program was how much she and her students enjoyed a game-based module that used middle school math to explain how AI “learns.” Connecting math and literature to culturally relevant, real-world issues helps students see both subjects in a new light.

    As AI continues to reshape our world, schools must rethink how to teach about it. Critical data literacy helps students see the relevance of what they’re learning, empowering them to ask better questions and make more informed decisions. It also helps educators connect classroom content to students’ lived experiences.

    If education leaders want to prepare students for the future–not just as workers, but as informed citizens–they must invest in critical data literacy now. As Angela Nguyen, one of our undergraduate scholars from Stanford, said in her Data is Power talk: “Data is power–especially youth and data. All of us, whether qualitative or quantitative, can be great collectors of meaningful data that helps educate our own communities.”

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  • What educators need to know

    What educators need to know

    Key points:

    Literacy has always been the foundation of learning, but for middle school students, the stakes are especially high. These years mark the critical shift from learning to read to reading to learn.

    When students enter sixth, seventh, or eighth grade still struggling with foundational skills, every subject becomes harder–science labs, social studies texts, even math word problems require reading proficiency. For educators, the challenge is not just addressing gaps but also building the confidence that helps adolescents believe they can succeed.

    The confidence gap

    By middle school, many students are keenly aware when they’re behind their peers in reading. Interventions that feel too elementary can undermine motivation. As Dr. Michelle D. Barrett, Senior Vice President of Research, Policy, and Impact at Edmentum, explained:

    “If you have a student who’s in the middle grades and still has gaps in foundational reading skills, they need to be provided with age-appropriate curriculum and instruction. You can’t give them something that feels babyish–that only discourages them.”

    Designing for engagement

    Research shows that engagement is just as important as instruction, particularly for adolescents. “If students aren’t engaged, if they’re not showing up to school, then you have a real problem,” Barrett said. “It’s about making sure that even if students have gaps, they’re still being supported with curriculum that feels relevant and engaging.”

    To meet that need, digital programs like Edmentum’s Exact Path tailor both design and content to the learner’s age. “A middle schooler doesn’t want the cartoony things our first graders get,” Barrett noted. “That kind of thing really does matter–not just for engagement, but also for their confidence and willingness to keep going.”

    Measuring what works

    Educators also need strong data to target interventions. “It’s all about how you’re differentiating for those students,” Barrett said. “You’ve got to have great assessments, engaging content that’s evidence-based, and a way for students to feel and understand success.”

    Exact Path begins with universal screening, then builds personalized learning paths grounded in research-based reading progressions. More than 60 studies in the past two years have shown consistent results. “When students complete eight skills per semester, we see significant growth across grade levels–whether measured by NWEA MAP, STAR, or state assessments,” Barrett added.

    That growth extends across diverse groups. “In one large urban district, we found the effect sizes for students receiving special education services were twice that of their peers,” Barrett said. “That tells us the program can be a really effective literacy intervention for students most at risk.”

    Layering supports for greater impact

    Barrett emphasized that literacy progress is strongest when multiple supports are combined. “With digital curriculum, students do better. But with a teacher on top of that digital curriculum, they do even better. Add intensive tutoring, and outcomes improve again,” she said.

    Progress monitoring and recognition also help build confidence. “Students are going to persist when they can experience success,” Barrett added. “Celebrating growth, even in small increments, matters for motivation.”

    A shared mission

    While tools like Exact Path provide research-backed support, Barrett stressed that literacy improvement is ultimately a shared responsibility. “District leaders should be asking: How is this program serving students across different backgrounds? Is it working for multilingual learners, students with IEPs, students who are at risk?” she said.

    The broader goal, she emphasized, is preparing students for lifelong learning. “Middle school is such an important time. If we can help students build literacy and confidence there, we’re not just improving test scores–we’re giving them the skills to succeed in every subject, and in life.”

    Laura Ascione
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