Category: Learning

  • Sparking civic engagement as we approach America’s 250th

    Sparking civic engagement as we approach America’s 250th

    Key points:

    Imagine students who understand how government works and who see themselves as vital contributors to their communities. That’s what happens when students are given opportunities to play a role in their school, district, and community. In my work as a teacher librarian, I have learned that even the youngest voices can be powerful, and that students embrace civic responsibility and education when history is taught in a way that’s relevant and meaningful. 

    Now is the moment to build momentum and move our curriculum forward. It’s time to break past classroom walls and unite schools and communities. As our nation’s 250th anniversary approaches, education leaders have a powerful opportunity to teach through action and experience like never before. 

    Kids want to matter. When we help them see themselves as part of the world instead of watching it pass by, they learn how to act with purpose. By practicing civic engagement, students gain the skills to contribute solutions–and often offer unique viewpoints that drive real change. In 2023, I took my students [CR1] to the National Mall. They were in awe of how history was represented in stone, how symbolism was not always obvious, and they connected with rangers from the National Park Service as well as visitors in D.C. that day. 

    When students returned from the Mall, they came back with a question that stuck: “Where are the women?” In 2024, we set out to answer two questions together: “Whose monuments are missing?” and “What is HER name?” 

    Ranger Jen at the National Mall, with whom I worked with before, introduced me to Dr. Linda Booth Sweeney, author of Monument Maker, which inspired my approach. Her book asks, “History shapes us–how will we shape history?” Motivated by this challenge, students researched key women in U.S. history and designed monuments to honor their contributions. 

    We partnered with the Women’s Suffrage National Monument, and some students even displayed their work at the Belmont-Paul Women’s Equality National Monument. Through this project, questions were asked, lessons were learned, and students discovered the power of purpose and voice. By the end of our community-wide celebration, National Mall Night, they were already asking, “What’s next?” 

    The experience created moments charged with importance and emotion–moments students wanted to revisit and replicate as they continue shaping history themselves. 

    Reflecting on this journey, I realized I often looked through a narrow lens, focusing only on what was immediately within my school. But the broader community, both local and online, is full of resources that can strengthen relationships, provide materials, and offer strategies, mentors, and experiences that extend far beyond any initial lesson plan. 

    Seeking partnerships is not a new idea, but it can be easily overlooked or underestimated. I’ve learned that a “no” often really means “not yet” or “not now,” and that persistence can open doors. Ford’s Theatre introduced me to Ranger Jen, who in turn introduced me to Dr. Sweeney and the Trust for the National Mall. When I needed additional resources, the Trust for the National Mall responded, connecting me with the new National Mall Gateway: a new digital platform inspired by America’s 250th that gives all students, educators and visitors access to explore and connect with history and civics through the National Mall. 

    When I first shared the Gateway with students, it took their breath away. They could reconnect with the National Mall–a place they were passionate about–with greater detail and depth. I now use the platform to teach about monuments and memorials, to prepare for field trips, and to debrief afterward. The platform brings value for in-person visits to the National Mall, and for virtual field trips in the classroom, where they can almost reach out and touch the marble and stone of the memorials through 360-degree video tours. 

    Another way to spark students’ interest in civics and history is to weave civic learning into every subject. The first step is simple but powerful: Give teachers across disciplines the means to integrate civic concepts into their lessons. This might mean collaborating with arts educators and school librarians to design mini-lessons, curate primary sources, or create research challenges that connect past and present. It can also take shape through larger, project-based initiatives that link classroom learning to real-world issues. Science classes might explore the policies behind environmental conservation, while math lessons could analyze community demographics or civic data. In language arts, students might study speeches, letters, or poetry to see how language drives change. When every subject and resource become hubs for civic exploration, students begin to see citizenship as something they live, not just study. 

    Students thrive when their learning has purpose and connection. They remember lessons tied to meaningful experiences and shared celebrations. For instance, one of our trips to the National Mall happened when our fourth graders were preparing for a Veterans Day program with patriotic music. Ranger Jen helped us take it a step further, building on previous partnerships and connections–she arranged for the students to sing at the World War II Memorial. As they performed “America,” Honor Flights unexpectedly arrived. The students were thrilled to sing in the nation’s capital, of course. But the true impact came from their connection with the veterans who had lived the history they were honoring. 

    As our nation approaches its 250th anniversary, we have an extraordinary opportunity to help students see themselves as part of the story of America’s past, present, and future.

    Encourage educator leaders to consider how experiential civics can bring this milestone to life. Invite students to engage in authentic ways, whether through service-learning projects, policy discussions, or community partnerships that turn civic learning into action. Create spaces in your classes for collaboration, reflection, and application, so that students are shaping history, not just studying it. Give students more than a celebration. Give them a sense of purpose and belonging in the ongoing story of our nation. 

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  • Measuring student global competency learning using direct peer connections

    Measuring student global competency learning using direct peer connections

    Key points:

    Our students are coming of age in a world that demands global competency. From economic interdependence to the accelerating effects of climate change and mass migration, students need to develop the knowledge and skills to engage and succeed in this diverse and interconnected world. Consequently, the need for global competency education is more important than ever.

    “Being born into a global world does not make people global citizens,” Andreas Schleicher of the Organization for Economic Cooperation and Development (OECD) has said. “We must deliberately and systematically educate our children in global competence.” 

    Here at Global Cities, we regularly talk with educators eager to bring global competency into their classrooms in ways that engage and excite students to learn. Educators recognize the need, but ask a vital question: How do we teach something we can’t measure?

    It’s clear that in today’s competitive and data-driven education environment, we need to expand and evaluate what students need to know to be globally competent adults. Global competency education requires evaluation tools to determine what and whether students are learning.

    The good news is that two recent independent research studies found that educators can use a new tool, the Global Cities’ Codebook for Global Student Learning Outcomes, to identify what global competency learning looks like and to assess whether students are learning by examining student writing. The research successfully used the evaluation tool for global competency programs with different models and curricula and across different student populations.

    Global Cities developed the Codebook to help researchers, program designers, and educators identify, teach, and measure global competency in their own classrooms. Created in partnership with Harvard Graduate School of Education’s The Open Canopy, the Codebook captures 55 observable indicators across four core global learning outcomes: Appreciation for Diversity, Cultural Understanding, Global Knowledge, and Global Engagement. The Codebook was developed using data from our own Global Scholars virtual exchange program, which since 2014 has connected more than 139,000 students in 126 cities worldwide to teach global competency.

    In Global Scholars, we’ve seen firsthand the excitement of directly connecting students with their international peers and sparking meaningful discussions about culture, community, and shared challenges. We know how teachers can effectively use the Codebook and how Global Cities workshops extend the reach of this approach to a larger audience of K-12 teachers. This research was designed to determine whether the same tool could be used to assess global competency learning in other virtual exchange programs, not only Global Cities’ Global Scholars program.

    These studies make clear that the Codebook can reliably identify global learning in diverse contexts and help educators see where and how their students are developing global competency skills in virtual exchange curricula. You can examine the tool (the Codebook) here. You can explore the full research findings here.

    The first study looked at two AFS Intercultural Programs curricula, Global You Changemaker and Global Up Teen. The second study analyzed student work from The Open Canopy‘s Planetary Health and Remembering the Past learning journeys.

    In the AFS Intercultural Programs data, researchers found clear examples of students from across the globe showing Appreciation for Diversity and Cultural Understanding. In these AFS online discussion boards, students showed evidence they were learning about their own and other cultures, expressed positive attitudes about one another’s cultures, and demonstrated tolerance for different backgrounds and points of view. Additionally, the discussion boards offered opportunities for students to interact with each other virtually, and there were many examples of students from different parts of the world listening to one another and interacting in positive and respectful ways. When the curriculum invited students to design projects addressing community or global issues, they demonstrated strong evidence of Global Engagement as well.

    Students in The Open Canopy program demonstrated the three most prevalent indicators of global learning that reflect core skills essential to effective virtual exchange: listening to others and discussing issues in a respectful and unbiased way; interacting with people of different backgrounds positively and respectfully; and using digital tools to learn from and communicate with peers around the world. Many of the Remembering the Past posts were especially rich and coded for multiple indicators of global learning.

    Together, these studies show that global competency can be taught–and measured. They also highlight simple, but powerful strategies educators everywhere can use:

    • Structured opportunities for exchange help students listen and interact respectfully with one another
    • Virtual exchange prompts students to share their cultures and experiences across lines of difference in positive, curious ways
    • Assignments that include reflection questions–why something matters, not just what it is–help students think critically about culture and global issues
    • Opportunities for students to give their opinion and to decide to take action, even hypothetically, builds their sense of agency in addressing global challenges

    The Codebook is available free to all educators, along with hands-on professional development workshops that guide teachers in using the tool to design curriculum, teach intentionally, and assess learning. Its comprehensive set of indicators gives educators and curriculum designers a menu of options–some they might not have initially considered–that can enrich students’ global learning experiences.

    Our message to educators is simple: A community of educators (Global Ed Lab), a research-supported framework, and practical tools can help you teach students global competency and evaluate their work.

    The question is no longer whether we need more global competency education. We clearly do. Now with the Codebook and the Global Ed Lab, teachers can learn how to teach this subject matter effectively and use tools to assess student learning.

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  • The 3 learning advantages of 3D printing

    The 3 learning advantages of 3D printing

    Key points:

    It’s truly incredible how much new technology has made its way into the classroom. Where once teaching consisted primarily of whiteboards and textbooks, you can now find tablets, smart screens, AI assistants, and a trove of learning apps designed to foster inquiry and maximize student growth.

    While these new tools are certainly helpful, the flood of options means that educators can struggle to discern truly useful resources from one-time gimmicks. As a result, some of the best tools for sparking curiosity, creativity, and critical thinking often go overlooked.

    Personally, I believe 3D printing is one such tool that doesn’t get nearly enough consideration for the way it transforms a classroom.

    3D printing is the process of making a physical object from a three-dimensional digital model, typically by laying down many thin layers of material using a specialized printer. Using 3D printing, a teacher could make a model of a fossil to share with students, trophies for inter-class competitions, or even supplies for construction activities.

    At first glance, this might not seem all that revolutionary. However, 3D printing offers three distinct educational advantages that have the potential to transform K–12 learning:

    1. It develops success skills: 3D printing encourages students to build a variety of success skills that prepare them for challenges outside the classroom. For starters, its inclusion creates opportunities for students to practice communication, collaboration, and other social-emotional skills. The process of moving from an idea to a physical, printed prototype fosters perseverance and creativity. Meanwhile, every print–regardless of its success–builds perseverance and problem-solving confidence. This is the type of hands-on, inquiry-based learning that students remember.
    2. It creates cross-curricular connections: 3D printing is intrinsically cross-curricular. Professional scientists, engineers, and technicians often use 3D printing to create product models or build prototypes for testing their hypotheses. This process involves documentation, symbolism, color theory, understanding of narrative, and countless other disciplines. It doesn’t take much imagination to see how these could also be beneficial to classroom learning. Students can observe for themselves how subjects connect, while teachers transform abstract concepts into tangible points of understanding.     
    3. It’s aligned with engineering and NGSS: 3D printing aligns perfectly with Next Gen Science Standards. By focusing on the engineering design process (define, imagine, plan, create, improve) students learn to think and act like real scientists to overcome obstacles. This approach also emphasizes iteration and evidence-based conclusions. What better way to facilitate student engagement, hands-on inquiry, and creative expression?

    3D printing might not be the flashiest educational tool, but its potential is undeniable. This flexible resource can give students something tangible to work with while sparking wonder and pushing them to explore new horizons.

    So, take a moment to familiarize yourself with the technology. Maybe try running a few experiments of your own. When used with purpose, 3D printing transforms from a common classroom tool into a launchpad for student discovery.

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  • Teaching visual literacy as a core reading strategy in the age of AI

    Teaching visual literacy as a core reading strategy in the age of AI

    Key points:

    Many years ago, around 2010, I attended a professional development program in Houston called Literacy Through Photography, at a time when I was searching for practical ways to strengthen comprehension, discussion, and reading fluency, particularly for students who found traditional print-based tasks challenging. As part of the program, artists visited my classroom and shared their work with students. Much of that work was abstract. There were no obvious answers and no single “correct” interpretation.

    Instead, students were invited to look closely, talk together, and explain what they noticed.

    What struck me was how quickly students, including those who struggled with traditional reading tasks, began to engage. They learned to slow down, describe what they saw, make inferences, and justify their thinking. They weren’t just looking at images; they were reading them. And in doing so, they were rehearsing many of the same strategies we expect when reading written texts.

    At the time, this felt innovative. But it also felt deeply intuitive.

    Fast forward to today.

    Students are surrounded by images and videos, from photographs and diagrams to memes, screenshots, and, increasingly, AI-generated visuals. These images appear everywhere: in learning materials, on social media, and inside the tools students use daily. Many look polished, realistic, and authoritative.

    At the same time, AI has made faking easier than ever.

    As educators and school leaders, we now face urgent questions around misinformation, academic integrity, and critical thinking. The issue is no longer just whether students can use AI tools, but whether they can interpret, evaluate, and question what they see.

    This is where visual literacy becomes a frontline defence.

    Teaching students to read images critically, to see them as constructed texts rather than neutral data, strengthens the same skills we rely on for strong reading comprehension: inference, evidence-based reasoning, and metacognitive awareness.

    From photography to AI: A conversation grounded in practice

    Recently, I found myself returning to those early classroom experiences through ongoing professional dialogue with a former college lecturer and professional photographer, as we explored what it really means to read images in the age of AI.

    A conversation that grew out of practice

    Nesreen: When I shared the draft with you, you immediately focused on the language, whether I was treating images as data or as signs. Is this important?

    Photographer: Yes, because signs belong to reading. Data is output. Signs are meaning. When we talk about reading media texts, we’re talking about how meaning is constructed, not just what information appears.

    Nesreen: That distinction feels crucial right now. Students are surrounded by images and videos, but they’re rarely taught to read them with the same care as written texts.

    Photographer: Exactly. Once students understand that photographs and AI images are made up of signs, color, framing, scale, and viewpoint, they stop treating images as neutral or factual.

    Nesreen: You also asked whether the lesson would lean more towards evaluative assessment or summarizing. That made me realize the reflection mattered just as much as the image itself.

    Photographer: Reflection is key. When students explain why a composition works, or what they would change next time, they’re already engaging in higher-level reading skills.

    Nesreen: And whether students are analyzing a photograph, generating an AI image, or reading a paragraph, they’re practicing the same habits: slowing down, noticing, justifying, and revising their thinking.

    Photographer: And once they see that connection, reading becomes less about the right answer and more about understanding how meaning is made.

    Reading images is reading

    One common misconception is that visual literacy sits outside “real” literacy. In practice, the opposite is true.

    When students read images carefully, they:

    • identify what matters most
    • follow structure and sequence
    • infer meaning from clues
    • justify interpretations with evidence
    • revise first impressions

    These are the habits of skilled readers.

    For emerging readers, multilingual learners, and students who struggle with print, images lower the barrier to participation, without lowering the cognitive demand. Thinking comes first. Language follows.

    From composition to comprehension: Mapping image reading to reading strategies

    Photography offers a practical way to name what students are already doing intuitively. When teachers explicitly teach compositional elements, familiar reading strategies become visible and transferable.

    What students notice in an image What they are doing cognitively Reading strategy practiced
    Where the eye goes first Deciding importance Identifying main ideas
    How the eye moves Tracking structure Understanding sequence
    What is included or excluded Considering intention Analyzing author’s choices
    Foreground and background Sorting information Main vs supporting details
    Light and shadow Interpreting mood Making inferences
    Symbols and colour Reading beyond the literal Figurative language
    Scale and angle Judging power Perspective and viewpoint
    Repetition or pattern Spotting themes Theme identification
    Contextual clues Using surrounding detail Context clues
    Ambiguity Holding multiple meanings Critical reading
    Evidence from the image Justifying interpretation Evidence-based responses

    Once students recognise these moves, teachers can say explicitly:

    “You’re doing the same thing you do when you read a paragraph.”

    That moment of transfer is powerful.

    Making AI image generation teachable (and safe)

    In my classroom work pack, students use Perchance AI to generate images. I chose this tool deliberately: It is accessible, age-appropriate, and allows students to iterate, refining prompts based on compositional choices rather than chasing novelty.

    Students don’t just generate an image once. They plan, revise, and evaluate.

    This shifts AI use away from shortcut behavior and toward intentional design and reflection, supporting academic integrity rather than undermining it.

    The progression of a prompt: From surface to depth (WAGOLL)

    One of the most effective elements of the work pack is a WAGOLL (What A Good One Looks Like) progression, which shows students how thinking improves with precision.

    • Simple: A photorealistic image of a dog sitting in a park.
    • Secure: A photorealistic image of a dog positioned using the rule of thirds, warm colour palette, soft natural lighting, blurred background.
    • Greater Depth: A photorealistic image of a dog positioned using the rule of thirds, framed by tree branches, low-angle view, strong contrast, sharp focus on the subject, blurred background.

    Students can see and explain how photographic language turns an image from output into meaningful signs. That explanation is where literacy lives.

    When classroom talk begins to change

    Over time, classroom conversations shift.

    Instead of “I like it” or “It looks real,” students begin to say:

    • “The creator wants us to notice…”
    • “This detail suggests…”
    • “At first I thought…, but now I think…”

    These are reading sentences.

    Because images feel accessible, more students participate. The classroom becomes slower, quieter, and more thoughtful–exactly the conditions we want for deep comprehension.

    Visual literacy as a bridge, not an add-on

    Visual literacy is not an extra subject competing for time. It is a bridge, especially in the age of AI.

    By teaching students how to read images, schools strengthen:

    • reading comprehension
    • inference and evaluation
    • evidence-based reasoning
    • metacognitive awarenes

    Most importantly, students learn that literacy is not about rushing to answers, but about noticing, questioning, and constructing meaning.

    In a world saturated with AI-generated images, teaching students how to read visually is no longer optional.

    It is literacy.

    Author’s note: This article grew out of classroom practice and professional dialogue with a former college lecturer and professional photographer. Their contribution informed the discussion of visual composition, semiotics, and reflective image-reading, without any involvement in publication or authorship.

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  • How professional learning transformed our teachers

    How professional learning transformed our teachers

    Key points:

    When you walk into a math classroom in Charleston County School District, you can feel the difference. Students aren’t just memorizing steps–they’re reasoning through problems, explaining their thinking, and debating solutions with their peers. Teachers aren’t rushing to cover content, because their clear understanding of students’ natural learning progressions allows them to spend more time exploring the why behind the math.

    This cultural shift didn’t come from adopting a new curriculum or collecting more data. Instead, we transformed math education by investing deeply in our educators through OGAP (The Ongoing Assessment Project) professional learning–an approach that has reshaped not only instruction, but the confidence and professional identity of our teachers.

    Why we needed a change

    Charleston County serves more than 50,000 students across more than 80 schools. For years, math achievement saw small gains, but not the leaps we hoped for. Our teachers were dedicated, and we had high-quality instructional materials, but something was missing.

    The gap wasn’t our teacher’s effort. It was their insight–understanding the content they taught flexibly and deeply.

    Too often, instruction focused on procedures rather than understanding. Teachers could identify whether a student got a problem right or wrong, but not always why they responded the way they did. To truly help students grow, we needed a way to uncover their thinking and guide next steps more intentionally.

    What makes this professional learning different

    Unlike traditional PD that delivers a set of strategies to “try on Monday,” this learning model takes educators deep into how students develop mathematical ideas over time.

    Across four intensive days, teachers explore research-based learning progressions in additive, multiplicative, fractional, and proportional reasoning. They examine real student work to understand how misconceptions form and what those misconceptions reveal about a learner’s thought process. It is also focused on expanding and deepening teachers’ understanding of the content they teach so they are more flexible in their thinking. Teachers appreciate that the training isn’t abstract; it’s rooted in everyday classroom realities, making it immediately meaningful.

    Instead of sorting responses into right and wrong, teachers ask a more powerful question: What does this show me about how the student is reasoning?

    That shift changes everything. Teachers leave with:

    • A stronger grasp of content
    • The ability to recognize error patterns
    • Insight into students’ conceptual gaps
    • Renewed confidence in their instructional decisions

    The power of understanding the “why”

    Our district uses conceptual math curricula, including Eureka Math², Reveal Math, and Math Nation. These “HQIM” programs emphasize reasoning, discourse, and models–exactly the kind of instruction our students need.

    But conceptual materials only work when teachers understand the purpose behind them.

    Before this professional learning, teachers sometimes felt unsure about lesson sequencing and the lesson intent, including cognitive complexity. Now, they understand why lessons appear in a specific order and how models support deeper understanding. It’s common to hear teachers say: “Oh, now I get why it’s written that way!” They are also much more likely to engage deeply with the mathematical models in the programs when they understand the math education research behind the learning progressions that curriculum developers use to design the content.

    That insight helps them stay committed to conceptual instruction even when students struggle, shifting the focus from “Did they get it?” to “How are they thinking about it?”

    Transforming district culture

    The changes go far beyond individual classrooms.

    We run multiple sessions of this professional learning each year, and they fill within days. Teachers return to their PLCs energized, bringing exit tickets, student work, and new questions to analyze together.

    We also invite instructional coaches and principals to attend. This builds a shared professional language and strengthens communication across the system. The consistency it creates is particularly powerful for new teachers who are still building confidence in their instructional decision-making.

    The result?

    • Teachers now invite feedback.
    • Coaches feel like instructional partners, not evaluators.
    • Everyone is rowing in the same direction.

    This shared understanding has become one of the most transformative parts of our district’s math journey.

    Results we can see

    In the past five years, Charleston County’s math scores have climbed roughly 10 percentage points. But the most meaningful growth is happening inside classrooms:

    • Students are reasoning more deeply.
    • Teachers demonstrate stronger content knowledge and efficacy in using math models.
    • PLC conversations focus on evidence of student thinking.
    • Instruction is more intentional and responsive.

    Teachers are also the first to tell you whether PD is worth their time…and our teachers are asking for more. Many return to complete a second or third strand, and sometimes all four. We even have educators take the same strand more than once just to pick up on something they may have missed the first time. The desire to deepen their expertise shows just how impactful this learning has been. Participants also find it powerful to engage in a room where the collective experience spans multiple grade levels. This structure supports our goal of strengthening vertical alignment across the district.

    Prioritizing professional learning that works

    When professional learning builds teacher expertise rather than compliance, everything changes. This approach doesn’t tell teachers what to teach; it helps them understand how students learn.

    And once teachers gain that insight, classrooms shift. Conversations deepen. Confidence grows. Students stop memorizing math and start truly understanding it.

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  • Using generative tools to deepen, not replace, human connection in schools

    Using generative tools to deepen, not replace, human connection in schools

    Key points:

    For the last two years, conversations about AI in education have tended to fall into two camps: excitement about efficiency or fear of replacement. Teachers worry they’ll lose authenticity. Leaders worry about academic integrity. And across the country, schools are trying to make sense of a technology that feels both promising and overwhelming.

    But there’s a quieter, more human-centered opportunity emerging–one that rarely makes the headlines: AI can actually strengthen empathy and improve the quality of our interactions with students and staff.

    Not by automating relationships, but by helping us become more reflective, intentional, and attuned to the people we serve.

    As a middle school assistant principal and a higher education instructor, I’ve found that AI is most valuable not as a productivity tool, but as a perspective-taking tool. When used thoughtfully, it supports the emotional labor of teaching and leadership–the part of our work that cannot be automated.

    From efficiency to empathy

    Schools do not thrive because we write faster emails or generate quicker lesson plans. They thrive because students feel known. Teachers feel supported. Families feel included.

    AI can assist with the operational tasks, but the real potential lies in the way it can help us:

    • Reflect on tone before hitting “send” on a difficult email
    • Understand how a message may land for someone under stress
    • Role-play sensitive conversations with students or staff
    • Anticipate barriers that multilingual families might face
    • Rehearse a restorative response rather than reacting in the moment

    These are human actions–ones that require situational awareness and empathy. AI can’t perform them for us, but it can help us practice and prepare for them.

    A middle school use case: Preparing for the hard conversations

    Middle school is an emotional ecosystem. Students are forming identity, navigating social pressures, and learning how to advocate for themselves. Staff are juggling instructional demands while building trust with young adolescents whose needs shift by the week.

    Some days, the work feels like equal parts counselor, coach, and crisis navigator.

    One of the ways I’ve leveraged AI is by simulating difficult conversations before they happen. For example:

    • A student is anxious about returning to class after an incident
    • A teacher feels unsupported and frustrated
    • A family is confused about a schedule change or intervention plan

    By giving the AI a brief description and asking it to take on the perspective of the other person, I can rehearse responses that center calm, clarity, and compassion.

    This has made me more intentional in real interactions–I’m less reactive, more prepared, and more attuned to the emotions beneath the surface.

    Empathy improves when we get to “practice” it.

    Supporting newcomers and multilingual learners

    Schools like mine welcome dozens of newcomers each year, many with interrupted formal education. They bring extraordinary resilience–and significant emotional and linguistic needs.

    AI tools can support staff in ways that deepen connection, not diminish it:

    • Drafting bilingual communication with a softer, more culturally responsive tone
    • Helping teachers anticipate trauma triggers based on student histories
    • Rewriting classroom expectations in family-friendly language
    • Generating gentle scripts for welcoming a student experiencing culture shock

    The technology is not a substitute for bilingual staff or cultural competence. But it can serve as a bridge–helping educators reach families and students with more warmth, clarity, and accuracy.

    When language becomes more accessible, relationships strengthen.

    AI as a mirror for leadership

    One unexpected benefit of AI is that it acts as a mirror. When I ask it to review the clarity of a communication, or identify potential ambiguities, it often highlights blind spots:

    • “This sentence may sound punitive.”
    • “This may be interpreted as dismissing the student’s perspective.”
    • “Consider acknowledging the parent’s concern earlier in the message.”

    These are the kinds of insights reflective leaders try to surface–but in the rush of a school day, they are easy to miss.

    AI doesn’t remove responsibility; it enhances accountability. It helps us lead with more emotional intelligence, not less.

    What this looks like in teacher practice

    For teachers, AI can support empathy in similarly grounded ways:

    1. Building more inclusive lessons

    Teachers can ask AI to scan a lesson for hidden barriers–assumptions about background knowledge, vocabulary loads, or unclear steps that could frustrate students.

    2. Rewriting directions for struggling learners

    A slight shift in wording can make all the difference for a student with anxiety or processing challenges.

    3. Anticipating misconceptions before they happen

    AI can run through multiple “student responses” so teachers can see where confusion might arise.

    4. Practicing restorative language

    Teachers can try out scripts for responding to behavioral issues in ways that preserve dignity and connection.

    These aren’t shortcuts. They’re tools that elevate the craft.

    Human connection is the point

    The heart of education is human. AI doesn’t change that–in fact, it makes it more obvious.

    When we reduce the cognitive load of planning, we free up space for attunement.
    When we rehearse hard conversations, we show up with more steadiness.
    When we write in more inclusive language, more families feel seen.
    When we reflect on our tone, we build trust.

    The goal isn’t to create AI-enhanced classrooms. It’s to create relationship-centered classrooms where AI quietly supports the skills that matter most: empathy, clarity, and connection.

    Schools don’t need more automation.

    They need more humanity–and AI, used wisely, can help us get there.

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  • AI use is on the rise, but is guidance keeping pace?

    AI use is on the rise, but is guidance keeping pace?

    Key points:

    The rapid rise of generative AI has turned classrooms into a real-time experiment in technology use. Students are using AI to complete assignments, while teachers are leveraging it to design lessons, streamline grading, and manage administrative tasks.

    According to new national survey data from RAND, AI use among both students and educators has grown sharply–by more than 15 percentage points in just the past one to two years. Yet, training and policy have not kept pace. Schools and districts are still developing professional development, student guidance, and clear usage policies to manage this shift.

    As a result, educators, students, and parents are navigating both opportunities and concerns. Students worry about being falsely accused of cheating, and many families fear that increased reliance on AI could undermine students’ critical thinking skills.

    Key findings:

    During the 2024-2025 school year, AI saw rapid growth.

    AI use in schools surged during the 2024-2025 academic year. By 2025, more than half of students (54 percent) and core subject teachers (53 percent) were using AI for schoolwork or instruction–up more than 15 points from just a year or two earlier. High school students were the most frequent users, and AI adoption among teachers climbed steadily from elementary to high school.

    While students and parents express significant concern about the potential downsides of AI, school district leaders are far less worried.

    Sixty-one percent of parents, 48 percent of middle school students, and 55 percent of high school students believe that increased use of AI could harm students’ critical-thinking skills, compared with just 22 percent of district leaders. Additionally, half of students said they worry about being falsely accused of using AI to cheat.

    Training and policy development have not kept pace with AI use in schools.

    By spring 2025, only 35 percent of district leaders said their schools provide students with training on how to use AI. Meanwhile, more than 80 percent of students reported that their teachers had not explicitly taught them how to use AI for schoolwork. Policy guidance also remains limited–just 45 percent of principals said their schools or districts have policies on AI use, and only 34 percent of teachers reported policies specifically addressing academic integrity and AI.

    The report offers recommendations around AI use and guidance:

    As AI technology continues to evolve, trusted sources–particularly state education agencies–should provide consistent, regularly updated guidance on effective AI policies and training. This guidance should help educators and students understand how to use AI as a complement to learning, not a replacement for it.

    District and school leaders should clearly define what constitutes responsible AI use versus academic dishonesty and communicate these expectations to both teachers and students. In the near term, educators and students urgently need clarity on what qualifies as cheating with AI.

    Elementary schools should also be included in this effort. Nearly half of elementary teachers are already experimenting with AI, and these early years are when students build foundational skills and habits. Providing age-appropriate, coherent instruction about AI at this stage can reduce misuse and confusion as students progress through school and as AI capabilities expand.

    Ultimately, district leaders should develop comprehensive AI policies and training programs that equip teachers and students to use AI productively and ethically across grade levels.

    Laura Ascione
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  • 25 predictions about AI and edtech

    25 predictions about AI and edtech

    eSchool News is counting down the 10 most-read stories of 2025. Story #2 focuses on predictions educators made for AI in 2025.

    When it comes to education trends, AI certainly has staying power. As generative AI technologies evolve, educators are moving away from fears about AI-enabled cheating and are embracing the idea that AI can open new doors for teaching and learning.

    AI tools can reduce the administrative burden so many educators carry, can personalize learning for students, and can help students become more engaged in their learning when they use the tools to brainstorm and expand on ideas for assignments and projects. Having AI skills is also essential for today’s students, who will enter a workforce where AI know-how is becoming more necessary for success.

    So: What’s next for AI in education? We asked educators, edtech industry leaders, stakeholders, and experts to share some predictions about where they think AI is headed in 2025. (Here’s our list of 50 predictions for edtech in 2025.)

    Here’s what they had to say:

    In 2025, online program leaders will begin to unlock the vast potential of generative AI, integrating it more deeply into the instructional design process in ways that can amplify and expedite the work of faculty and instructional designers. This technology, already making waves in instruction and assessment, stands poised to transform the creation of online courses. By streamlining time-intensive tasks, generative AI offers the promise of automation, replication, and scalability, enabling institutions to expand their online offerings at an unprecedented pace. The key is that we maintain rigorous standards of quality–and create clear guardrails around the ethical use of AI at a time when increasingly sophisticated models are blurring the lines between human design–and artificial intelligence. Generative AI holds extraordinary promise, but its adoption must be grounded in practices that prioritize equitable and inclusive access, transparency, and educational excellence.
    –Deb Adair, CEO, Quality Matters

    In 2025, education in the United States will reflect both the challenges and opportunities of a system in transition. Uncertainty and change at the federal level will continue to shift decision-making power to states, leaving them with greater autonomy but also greater responsibility. While this decentralization may spark localized innovation, it is just as likely to create uneven standards. In some states, we’ve already seen benchmarks lowered to normalize declines, a trend that could spread as states grapple with resource and performance issues. This dynamic will place an even greater burden on schools, teachers, and academic leaders. As those closest to learners, they will bear the responsibility of bridging the gap between systemic challenges and individual student success. To do so effectively, schools will require tools that reduce administrative complexity, enabling educators to focus on fostering personal connections with students–the foundation of meaningful academic growth. AI will play a transformative role in this landscape, offering solutions to these pressures. However, fragmented adoption driven by decentralized decision-making will lead to inequities, with some districts leveraging AI effectively and others struggling to integrate it. In this complex environment, enterprise platforms that offer flexibility, integration, and choice will become essential. 2025 will demand resilience and creativity, but it also offers all of us an opportunity to refocus on what truly matters: supporting educators and the students they inspire.
    —Scott Anderberg, CEO, Moodle

    As chatbots become more sophisticated, they’re rapidly becoming a favorite among students for their interactive and personalized support, and we can expect to see them increasingly integrated into classrooms, tutoring platforms, and educational apps as educators embrace this engaging tool for learning. Additionally, AI is poised to play an even larger role in education, particularly in test preparation and course planning. By leveraging data and predictive analytics, AI-driven tools will help students and educators create more tailored and effective learning pathways, enhancing the overall educational experience.
    —Brad Barton, CTO, YouScience 

    As we move into 2025,  we’ll move past the AI hype cycle and pivot toward solving tangible classroom challenges. Effective AI solutions will integrate seamlessly into the learning environment, enhancing rather than disrupting the teaching experience. The focus will shift to practical tools that help teachers sustain student attention and engagement–the foundation of effective learning. These innovations will prioritize giving educators greater flexibility and control, allowing them to move freely around the classroom while effortlessly managing and switching between digital resources. An approach that ensures technology supports and amplifies the irreplaceable human connections at the heart of learning, rather than replacing them.
    –Levi Belnap, CEO, Merlyn Mind

    The year 2025 is set to transform science education by implementing AI-driven learning platforms. These platforms will dynamically adjust to the student’s interests and learning paces, enhancing accessibility and inclusivity in education. Additionally, virtual labs and simulations will rise, enabling students to experiment with concepts without geographical constraints. This evolution will make high-quality STEM education more universally accessible.
    –Tiago Costa, Cloud & AI Architect, Microsoft; Pearson Video Lesson Instructor 

    In the two years since GenAI was unleashed, K-12 leaders have ridden the wave of experimentation and uncertainty about the role this transformative technology should have in classrooms and districts. 2025 will see a shift toward GenAI strategy development, clear policy and governance creation, instructional integration, and guardrail setting for educators and students. K-12 districts recognize the need to upskill their teachers, not only to take advantage of GenAI to personalize learning, but also so they can teach students how to use this tech responsibly. On the back end, IT leaders will grapple with increased infrastructure demands and ever-increasing cybersecurity threats.
    —Delia DeCourcy, Senior Strategist, Lenovo Worldwide Education Team

    AI-driven tools will transform the role of teachers and support staff in 2025: The advent of AI will allow teachers to offload mundane administrative tasks to students and provide them more energy to be at the “heart and soul” of the classroom. Moreover, more than two-thirds (64 percent) of parents agreed or strongly agreed that AI should help free teachers from administrative tasks and help them build connections with the classroom. Impact of technological advancements on hybrid and remote learning models in 2025: AI is revolutionizing the online learning experience with personalized pathways, tailored skills development and support, and enhanced content creation. For example, some HBS Online courses, like Launching Tech Ventures, feature an AI course assistant bot to help address learners’ questions and facilitate successful course completion. While the long-term impact remains uncertain, AI is narrowing the gap between online and in-person education. By analyzing user behavior and learning preferences, AI can create adaptive learning environments that dynamically adjust to individual needs, making education more engaging and effective. 
    –David Everson, Senior Director of Marketing Solutions, Laserfiche

    In education and digital publishing, artificial intelligence (AI) will continue transitioning from novelty applications to solutions that address real-world challenges facing educators and students. Successful companies will focus on data security and user trust, and will create learner-centered AI tools to deliver personalized experiences that adapt to individual needs and enhance efficiency for educators, enabling them to dedicate more time to fostering meaningful connections with students. The ethical integration of AI technologies such as retrieval-augmented generation (RAG) is key to this evolution. Unlike traditional large language models that ingest information from the Internet at large, RAG delivers AI outputs that are grounded in authoritative, peer-reviewed content, reducing the risk of misinformation while safeguarding the integrity of intellectual property. Thoughtfully developed AI tools such as this will become partners in the learning journey, encouraging analysis, problem-solving, and creativity rather than fostering dependence on automated responses. By taking a deliberate approach that focuses on ethical practices, user-centered design, and supporting the cultivation of essential skills, successful education companies will use AI less as innovation for its own sake and more as a means to provide rich and memorable teaching and learning experiences.
    —Paul Gazzolo, Senior Vice President & Global General Manager, Gale, a Part of Cengage Group

    Adaptive learning technologies will continue to personalize curriculum and assessment, creating a more responsive and engaging educational journey that reflects each student’s strengths and growth areas. Generative AI and other cutting-edge advancements will be instrumental in building solutions that optimize classroom support, particularly in integrating assessment and instruction. We will see more technology that can help educators understand the past to edit materials in the present, to accelerate teachers planning for the future.
    —Andrew Goldman, EVP, HMH Labs

    We’ll witness a fundamental shift in how we approach student assessment, moving away from conventional testing models toward more authentic experiences that are seamless with instruction. The thoughtful integration of AI, particularly voice AI technology, will transform assessment from an intermittent event into a natural part of the learning process. The most promising applications will be those that combine advanced technology with research-validated methodologies. Voice-enabled assessments will open new possibilities for measuring student knowledge in ways that are more natural and accessible, especially for our youngest learners, leveraging AI’s capabilities to streamline assessment while ensuring that technology serves as a tool to augment, rather than replace, the critical role of teachers.
    –Kristen Huff, Head of Measurement, Curriculum Associates

    AI is already being used by many educators, not just to gain efficiencies, but to make a real difference in how their students are learning. I suspect in 2025 we’ll see even more educators experimenting and leveraging AI tools as they evolve–especially as more of the Gen Z population enters the teaching workforce. In 2024, surveyed K-12 educators reported already using AI to create personalized learning experiences, provide real-time performance feedback, and foster critical thinking skills. Not only will AI usage continue to trend up throughout 2025, I do believe it will reach new heights as more teachers begin to explore GenAI as a hyper-personalized asset to support their work in the classroom. This includes the use of AI as an official teacher’s assistant (TA), helping to score free response homework and tests and providing real-time, individualized feedback to students on their education journey.
    –John Jorgenson, CMO, Cambium Learning Group

    The new year will continue to see the topic of AI dominate the conversation as institutions emphasize the need for students to understand AI fundamentals, ethical considerations, and real-world applications outside of the classroom. However, a widening skills gap between students and educators in AI and digital literacy presents a challenge. Many educators have not prioritized keeping up with rapid technological advancements, while students–often exposed to digital tools early on–adapt quickly. This gap can lead to uneven integration of AI in classrooms, where students sometimes outpace their instructors in understanding. To bridge this divide, comprehensive professional development for teachers is essential, focusing on both technical skills and effective teaching strategies for AI-related topics. Underscoring the evolving tech in classrooms will be the need for evidence of outcomes, not just with AI but all tools. In the post-ESSER era, evidence-based decision-making is crucial for K-12 schools striving to sustain effective programs without federal emergency funds. With the need to further justify expenditures, schools must rely on data to evaluate the impact of educational initiatives on student outcomes, from academic achievement to mental health support. Evidence helps educators and administrators identify which programs truly benefit students, enabling them to allocate resources wisely and prioritize what works. By focusing on measurable results, schools can enhance accountability, build stakeholder trust, and ensure that investments directly contribute to meaningful, lasting improvements in learning and well-being.
    —Melissa Loble, Chief Academic Officer, Instructure

    With AI literacy in the spotlight, lifelong learning will become the new normal. Immediate skills need: The role of “individual contributors” will evolve, and we will all be managers of AI agents, making AI skills a must-have. Skills of the future: Quantum skills will start to be in demand in the job market as quantum development continues to push forward over the next year. Always in-demand skills: The overall increase in cyberattacks and emerging risks, such as harvest now and decrypt later (HNDL) attacks, will further underscore the continued importance of cybersecurity skills. Upskilling won’t end with AI. Each new wave of technology will demand new skills, so lifelong learners will thrive. AI will not be siloed to use among technology professionals. The democratization of AI technology and the proliferation of AI agents have already made AI skills today’s priority. Looking ahead, quantum skills will begin to grow in demand with the steady advance of the technology. Meanwhile cybersecurity skills are an evergreen need.
    —Lydia Logan, VP of Global Education & Workforce Development, IBM

    This coming year, we’ll see real progress in using technology, particularly GenAI, to free up teachers’ time. This will enable them to focus on what they do best: working directly with students and fostering the deep connections crucial for student growth and achievement. GenAI-powered assistants will streamline lesson planning after digesting information from a sea of assessments to provide personalized recommendations for instruction to an entire class, small groups, and individual students. The bottom line is technology that never aims to replace a teacher’s expertise–nothing ever should–but gives them back time to deepen relationships with students.
    —Jack Lynch, CEO, HMH

    Looking to 2025, I anticipate several key trends that will further enhance the fusion of educators, AI and multimodal learning. AI-powered personalization enhanced by multimedia: AI will deliver personalized learning paths enriched with various content formats. By adapting to individual learning styles–whether visual, auditory, or kinesthetic–we can make education more engaging and effective. Expansion of multimodal learning experiences: Students will increasingly expect learning materials that engage multiple senses. Integrating short-form videos created and vetted by actual educators, interactive simulations, and audio content will cater to different learning preferences, making education more inclusive and effective. Deepening collaboration with educators: Teachers will play an even more critical role in developing and curating multimodal content. Their expertise ensures that the integration of technology enhances rather than detracts from the learning experience.
    –Nhon Ma, CEO & Co-founder, Numerade

    AI and automation become a competitive advantage for education platforms and systems. 2025 will be the year for AI to be more infused in education initiatives and platforms. AI-powered solutions have reached a tipping point from being a nice-to-have to a must-have in order to deliver compelling and competitive education experiences. When we look at the education sector, the use cases are clear. From creating content like quizzes, to matching students with education courses that meet their needs, to grading huge volumes of work, enhancing coaching and guidance for students, and even collecting, analyzing and acting on feedback from learners, there is so much value to reap from AI. Looking ahead, there could be additional applications in education for multimodal AI models, which are capable of processing and analyzing complex documents including images, tables, charts, and audio.
    —Rachael Mohammed, Corporate Social Responsibility Digital Offerings Leader, IBM

    Agentic and Shadow AI are here. Now, building guardrails for safe and powerful use will be key for education providers and will require new skillsets. In education, we expect the start of a shift from traditional AI tools to agents. In addition, the mainstream use of AI technology with ChatGPT and OpenAI has increased the potential risk of Shadow AI (the use of non-approved public AI applications, potentially causing concerns about compromising sensitive information). These two phenomena highlight the importance of accountability, data and IT policies, as well as control of autonomous systems. This is key mostly for education providers, where we think there will be greater attention paid to the AI guardrails and process. To be prepared, educators, students, and decision makers at all levels need to be upskilled in AI, with a focus on AI ethics and data management. If we invest in training the workforce now, they will be ready to responsibly develop and use AI and AI agents in a way that is trustworthy.
    —Justina Nixon-Saintil, Vice President & Chief Impact Officer, IBM

    Rather than replacing human expertise, AI can be used as a resource to allow someone to focus more of their time on what’s truly important and impactful. As an educator, AI has become an indispensable tool for creating lesson plans. It helps generate examples, activity ideas, and anticipate future students’ questions, freeing me to focus on the broader framework and the deeper meaning of what I’m teaching.
    –Sinan Ozdemir, Founder & Chief Technology Officer, Shiba Technologies; Author, Quick Start Guide to Large Language Models 

    Data analytics and AI will be essential towards tackling the chronic absenteeism crisis. In 2025, the conversation around belonging will shift from abstract concepts to concrete actions in schools. Teachers who build strong relationships with both students and families will see better attendance and engagement, leading more schools to prioritize meaningful connection-building over quick-fix solutions. We’ll see more districts move toward personalized, two-way school communications that create trust with parents and the larger school community. In order to keep up with the growing need for this type of individualized outreach, schools will use data analytics and AI to identify attendance and academic patterns that indicate students are at risk of becoming chronically absent. It won’t be dramatic, but we’ll see steady progress throughout the year as schools recognize that student success depends on creating environments where both students and families feel valued and heard.
    —Dr. Kara Stern, Director of Education and Engagement, SchoolStatus

    As access to AI resources gains ground in classrooms, educators will face a dire responsibility to not only master these tools but to establish guidelines and provide best practices to ensure effective and responsible use. The increasing demand for AI requires educators to stay informed about emerging applications and prioritize ethical practices, ensuring AI enhances rather than impedes educational outcomes.. This is particularly critical in STEM fields, where AI has already transformed industries and is shaping career paths, providing new learning opportunities for students. To prevent the exacerbation of the existing STEM gap, educators must prioritize equitable access to AI resources and tools, ensuring that all students, regardless of background, have the opportunity to engage with and fully understand these technologies. This focus on equity is essential in leveling the playing field, helping bridge disparities that could otherwise limit students’ future success. Achieving these goals will require educators to engage in professional development programs designed to equip them with necessary skills and content knowledge to implement new technology in their classrooms. Learning how to foster inclusive environments is vital to cultivating a positive school climate where students feel motivated to succeed. Meanwhile, professionally-trained educators can support the integration of new technologies to ensure that every student has the opportunity to thrive in this new educational landscape.
    —Michelle Stie, Vice President, Program Design & Innovation, NMSI

    Artificial intelligence (AI) is poised to increase in use in K-12 classrooms, with literacy instruction emerging as a key area for transformative impact. While educators may associate AI with concerns like cheating, its potential to enhance human-centered teaching is gaining recognition. By streamlining administrative tasks, AI empowers teachers to focus on connecting with students and delivering personalized instruction. One trend to watch is AI’s role in automating reading assessments. These tools reduce the time educators spend administering and analyzing tests, offering real-time insights that guide individualized instruction. AI is also excelling at pinpointing skill gaps, allowing teachers to intervene early, particularly in foundational reading areas.  Another emerging trend is AI-driven reading practice. Tools can adapt to each student’s needs, delivering engaging, personalized reading tutoring with immediate corrective feedback. This ensures consistent, intentional practice–a critical factor in literacy growth. Rather than replacing teachers, AI frees up educator time for what matters most: fostering relationships with students and delivering high-quality instruction. As schools look to optimize resources in the coming year, AI’s ability to augment literacy instruction can be an important tool that maximizes students’ growth, while minimizing teachers’ work.
    —Janine Walker-Caffrey, Ed.D., Chief Academic Officer, EPS Learning

    We expect a renewed focus on human writing with a broader purpose–clear communication that demonstrates knowledge and understanding, enhanced, not replaced by available technology. With AI making basic elements of writing more accessible to all, this renaissance of writing will emphasize the ability to combine topical knowledge, critical thinking, mastery of language and AI applications to develop written work. Instead of being warned against using generative AI, students will be asked to move from demand–asking AI writing tools to produce work on their behalf, to command–owning the content creation process from start to finish and leveraging technology where it can be used to edit, enhance or expand original thinking. This shift will resurface the idea of co-authorship, including transparency around how written work comes together and disclosure of when and how AI tools were used to support the process. 
    —Eric Wang, VP of AI, Turnitin

    GenAI and AI writing detection tools will evolve, adding advanced capabilities to match each other’s detectability flex. End users are reaching higher levels of familiarity and maturity with AI functionality, resulting in a shift in how they are leveraged. Savvy users will take a bookend approach, focusing on early stage ideation, organization and expansion of original ideas as well as late stage refinement of ideas and writing. Coupling the use of GenAI with agentic AI applications will help to overcome current limitations, introducing multi-source analysis and adaptation capabilities to the writing process. Use of detection tools will improve as well, with a focus on preserving the teaching and learning process. In early stages, detection tools and indicator reports will create opportunities to focus teaching on addressing knowledge gaps and areas lacking original thought or foundation. Later stage detection will offer opportunities to strengthen the dialogue between educators and students, providing transparency that will reduce student risk and increase engagement.
    —Eric Wang, VP of AI, Turnitin

    Advanced AI tools will provide more equitable access for all students, inclusive of reaching students in their home language, deaf and hard of hearing support through AI-enabled ASL videos, blind and visually impaired with real time audio descriptions, tactiles, and assistive technology.
    –Trent Workman, SVP for U.S. School Assessments, Pearson 

    Generative AI everywhere: Generative AI, like ChatGPT, is getting smarter and more influential every day, with the market expected to grow a whopping 46 percent every year from now until 2030. By 2025, we’ll likely see AI churning out even more impressive text, images, and videos–completely transforming industries like marketing, design, and content creation. Under a Trump administration that might take a more “hands-off” approach, we could see faster growth with fewer restrictions holding things back. That could mean more innovative tools hitting the market sooner, but it will also require companies to be careful about privacy and job impacts on their own. The threat of AI-powered cyberattacks: Experts think 2025 might be the year cybercriminals go full throttle with AI. Think about it: with the advancement of the technology, cyberattacks powered by AI models could start using deepfakes, enhanced social engineering, and ultra-sophisticated malware. If the Trump administration focuses on cybersecurity mainly for critical infrastructure, private companies could face gaps in support, leaving sectors like healthcare and finance on their own to keep up with new threats. Without stronger regulations, businesses will have to get creative–and fast–when it comes to fighting off these attacks.
    –Alon Yamin, Co-Founder & CEO, Copyleaks

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  • This math platform leverages AI coaching to help students tackle tough concepts

    This math platform leverages AI coaching to help students tackle tough concepts

    eSchool News is counting down the 10 most-read stories of 2025. Story #5 focuses on a math platform that offers AI coaching for maximum impact.

    Math is a fundamental part of K-12 education, but students often face significant challenges in mastering increasingly challenging math concepts.

    Many students suffer from math anxiety, which can lead to a lack of confidence and motivation. Gaps in foundational knowledge, especially in early grades and exacerbated by continued pandemic-related learning loss, can make advanced topics more difficult to grasp later on. Some students may feel disengaged if the curriculum does not connect to their interests or learning styles.

    Teachers, on the other hand, face challenges in addressing diverse student needs within a single classroom. Differentiated instruction is essential, but time constraints, large class sizes, and varying skill levels make personalized learning difficult.

    To overcome these challenges, schools must emphasize early intervention, interactive teaching strategies, and the use of engaging digital tools.

    Last year in New York City Public Schools, Franklin Delano Roosevelt High School (FDR) teachers started using a real-time AI math coaching platform from Edia to give students instant access to math support.

    Edia aligns with Illustrative Mathematics’ IM Math, which New York City Public Schools adopted in 2024 as part of its “NYC Solves” initiative–a program aiming to help students develop the problem-solving, critical thinking, and math skills necessary for lifetime success. Because Edia has the same lessons and activities built into its system, learning concepts are reinforced for students.

    FDR started using Edia in September of 2024, first as a teacher-facing tool until all data protection measures were in place, and now as an instructional tool for students in the classroom and at home.

    The math platform’s AI coaching helps motivate students to persevere through tough-to-learn topics, particularly when they’re completing work at home.

    “I was looking for something to have a back-and-forth for students, so that when they need help, they’d be able to ask for it, at any time of the day,” said Salvatore Catalano, assistant principal of math and technology at FDR.

    On Edia’s platform, an AI coach reads students’ work and gives them personalized feedback based on their mistakes so they can think about their answers, try again, and master concepts.

    Some FDR classes use Edia several days a week for specific math supports, while others use it for homework assignments. As students work through assignments on the platform, they must answer all questions in a given problem set correctly before proceeding.

    Jeff Carney, a math teacher at FDR, primarily uses the Edia platform for homework assignments, and said it helps students with academic discovery.

    “With the shift toward more constructivist modes of teaching, we can build really strong conceptual knowledge, but students need time to build out procedural fluency,” he said. “That’s hard to do in one class session, and hard to do when students are on their own. Edia supports the constructivist model of discovery, which at times can be slower, but leads to deeper conceptual understanding–it lets us have that class time, and students can build up procedural fluency at home with Edia.”

    On Edia, teachers can see every question a student asks the AI coach as they try to complete a problem set.

    “It’s a nice interface–I can see if a student made multiple attempts on a problem and finally got the correct answer, but I also can see all the different questions they’re asking,” Carney said. “That gives me a better understanding of what they’re thinking as they try to solve the problem. It’s hugely helpful to see how they’re processing the information piece by piece and where their misconceptions might be.”

    As students ask questions, they also build independent research skills as they learn to identify where they struggle and, in turn, ask the AI coach the right questions to target areas where they need to improve.

    “We can’t have 30 kids saying, ‘I don’t get it’–there has to be a self-sufficient aspect to this, and I believe students can figure out what they’re trying to do,” Carney said.

    “I think having this platform as our main homework tool has allowed students to build up that self-efficacy more, which has been great–that’s been a huge help in enabling the constructivist model and building up those self-efficacy skills students need,” he added.

    Because FDR has a large ELL population, the platform’s language translation feature is particularly helpful.

    “We set up students with an Illustrative Math-aligned activity on Edia and let them engage with that AI coaching tool,” Carney said. “Kids who have just arrived or who are just learning their first English words can use their home languages, and that’s helpful.”

    Edia’s platform also serves as a self-reflection tool of sorts for students.

    “If you’re able to keep track of the questions you’re asking, you know for yourself where you need improvement. You only learn when you’re asking the good questions,” Catalano noted.

    The results? Sixty-five percent of students using Edia improved their scores on the state’s Regents exam in algebra, with some demonstrating as much as a 40-point increase, Catalano said, noting that while increased scores don’t necessarily mean students earned passing grades, they do demonstrate growth.

    “Of the students in a class using it regularly with fidelity, about 80 percent improved,” he said.

    For more spotlights on innovative edtech, visit eSN’s Profiles in Innovation hub.

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  • DEI in education: Pros and cons

    DEI in education: Pros and cons

    eSchool News is counting down the 10 most-read stories of 2025. Story #6 focuses on DEI in education.

    Key points:

    Diversity, equity, and inclusion (DEI) initiatives have become integral to educational institutions across the United States. DEI aims to foster environments where all students can thrive regardless of their backgrounds. The programs are designed to address systemic inequalities, promote representation, and create inclusive spaces for learning. However, as DEI becomes more prevalent, it also faces scrutiny and debate regarding its effectiveness, implementation, and impact on educational outcomes.

    One of the main advantages of DEI in education is the promotion of a more inclusive and representative curriculum. Students gain a broader understanding of the world by integrating diverse perspectives into course materials. This enhances critical thinking and empathy. Furthermore, the approach prepares students to navigate and contribute to our increasingly globalized society. Moreover, exposure to diverse viewpoints encourages students to challenge their assumptions and develop a more nuanced perspective on complex issues.

    DEI initiatives also contribute to improved academic outcomes by fostering a sense of belongingness amongst students. When students see themselves reflected in their educators and curricula, they are more likely to feel valued and supported. This leads to increased engagement and motivation. This sense of inclusion can result in higher retention and graduation rates (particularly among historically marginalized groups). Furthermore, diverse learning environments encourage collaboration and communication skills because students learn to work effectively with peers from different backgrounds.

    In addition to benefiting students, DEI programs can enhance faculty satisfaction and retention. Institutions that prioritize diversity in hiring and promotion practices create more equitable workplaces. This can lead to increased job satisfaction among faculty members. Mentorship programs and professional development opportunities focused on DEI can also support faculty in creating inclusive classroom environments, which further benefits students.

    Despite these benefits, DEI initiatives are not without challenges. One significant concern is the potential for resistance and backlash from individuals who perceive DEI efforts as a threat to traditional values (in other words, a form of reverse discrimination). This resistance can manifest in various ways (opposition to DEI policies, legal challenges, and political pressure). Such opposition can hinder the implementation and effectiveness of DEI programs, thereby creating a contentious atmosphere within educational institutions.

    Another challenge is the difficulty in measuring the success of DEI initiatives. Without clear metrics, it can be challenging to assess the impact of these programs on student outcomes, faculty satisfaction, or institutional culture. The lack of quantifiable data can lead to skepticism about the efficiency of DEI efforts, thus resulting in reduced support or funding for such programs. Additionally, the absence of standardized definitions and goals for DEI can lead to inconsistent implementation across institutions.

    Resource allocation is also a critical issue in the execution of DEI initiatives. Implementing comprehensive DEI programs often requires significant financial investment (funding for specialized staff, training, and support services). In times of budget constraints, institutions may struggle to prioritize DEI efforts. This may lead to inadequate support for students and faculty. Without sufficient resources, DEI programs may fail to achieve their intended outcomes thus further fueling criticism and skepticism.

    The potential for tokenism is another concern associated with DEI initiatives. When institutions focus on meeting diversity quotas without fostering genuine inclusion, individuals from underrepresented groups may feel marginalized or exploited. Tokenism may undermine the goals of DEI by creating superficial diversity that does not translate into meaningful change or equity. To avoid this, institutions must commit to creating inclusive environments where all individuals feel valued and empowered to contribute fully.

    Furthermore, DEI programs can sometimes inadvertently reinforce stereotypes or create division among student populations. For example, emphasizing differences without promoting commonalities may lead to increased social fragmentation or feelings of isolation among certain groups. Educators must carefully balance the celebration of diversity with the promotion of unity and shared values to foster cohesive learning communities.

    In summary, DEI initiatives in education offer numerous benefits, but these programs also face significant challenges. To maximize the positive impact of DEI efforts, educational institutions must commit to thoughtful, well-resourced, and inclusive implementation strategies that promote genuine equity and inclusion for all members.

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