Category: Digital Learning

  • 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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  • 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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  • What we lose when AI replaces teachers

    What we lose when AI replaces teachers

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

    Key points:

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

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

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

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

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

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

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

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

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

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

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

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

    Key points:

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

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

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

    Let me show you what that looks like.

    Building emotional resilience

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

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

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

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

    Personalized career exploration and academic support

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

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

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

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

    My advice to educators: Try it

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

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

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

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  • Teaching might be synchronous, but learning is always happening asynchronously

    Teaching might be synchronous, but learning is always happening asynchronously

    Key points:

    The bell rings at 10:00 a.m. A teacher begins explaining quadratic equations. Some students lean forward, pencils ready. Others stare at the clock. A few are still turning yesterday’s lesson over in their minds. On the surface, it’s a standard, well‑planned class period. But here’s the catch: Learning doesn’t always happen on schedule.

    Think about your own class last week. Did every student learn exactly what you were teaching? Or did some of them circle back a day or two later with new questions, fresh insights, or sudden understanding?

    Across the country, laws and regulations attempt to define and balance synchronous and asynchronous instruction. Some states fund schools based on seat time, measuring how long students sit in classrooms or log into live online sessions. Here in Indiana, recent legislation even limits the number of e‑learning days that can be asynchronous, as if too many days without live teaching would somehow shortchange students. These rules were written with the best of intentions–ensuring students are engaged, teachers are available, and learning doesn’t slip through the cracks.

    Over time, “asynchronous instruction” has picked up a troubling reputation, often equated with the idea of no teaching at all–just kids simply poking through a computer on their own. But the truth is far more nuanced. The work of teaching is so difficult precisely because all learning is, at its core, asynchronous. The best teachers understand the enormous variance in readiness within any group of students. They know some learners grasp a concept immediately while others need more time, multiple exposures, or a completely different entry point. Giving them space beyond the live moment is often exactly what allows learning to take hold.

    Devoting resources to well-designed asynchronous learning, such as recorded lectures available for rewatch, self-paced learning modules, project-based activities, and educational games, allows students to immerse themselves in instructional materials and gain a better understanding of content on their terms. Instead of helping students catch up during class time, teachers can focus on whole-group instruction and a deeper analysis of curriculum content.

    When we’re measuring butts in seats or time in front of a screen with an instructor on the other end, live, we’re measuring what’s easy to measure, not what’s important. Real student engagement happens in the head of the learner, and that is far harder to quantify.

    That’s why I can’t help but wonder if some of these mandates, while well‑intentioned, actually get in the way of real learning, pushing schools to comply with a regulation rather than focus on the conditions that actually help students grow.

    What if, instead of focusing so much on the ratio of synchronous to asynchronous minutes, we asked a better question: Are students being given the time, space, and support to truly learn? Are we creating systems that allow them to circle back and show growth when they’re ready, not just when the bell rings? As an administrator, I know our district is still figuring out the complexities of putting these goals into practice.

    Instead of tying funding and accountability to time in a seat, imagine tying it to evidence of growth. Imagine policies that encourage schools to document when and how students show understanding, no matter when it happens. Imagine giving educators the freedom to design opportunities for students to revisit, rethink, and re‑engage until the learning truly sticks.

    The teaching might be synchronous. But the learning is always happening asynchronously, and if we can shift our policies, practices, and mindsets to honor that truth, we can move beyond compliance and toward classrooms where students have every chance to succeed.

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  • 3 reasons to switch to virtual set design

    3 reasons to switch to virtual set design

    Key points:

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

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

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

    Increasing student engagement and participation

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

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

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

    Improving efficiency and flexibility

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

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

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

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

    Expanding educational opportunities

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

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

    Looking ahead with virtual set design

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

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

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