Aligning Learning Tools With Teacher Needs

Part of my work in the world of AI is to spend time sifting through, experimenting with tools to see their educational potential. When I find good ones, I share them with teachers here and on my blog. I know many of you are too busy to keep up with the relentless stream of new tools and platforms. That’s why I do the homework. So you don’t have to. The graphic below offers a curated snapshot of AI tools for teachers, organized by how they can support your work, from creating visuals and presentations, to lesson planning and academic research. A few personal favorites I’ve found especially promising in the classroom: 1. Diffit for adapting readings to different levels 2. SlidesAI for turning text into clean, engaging slide decks in minutes 3. Scite and Elicit for research and evidence-gathering (great for student inquiry and teacher PD!) My criteria? Tools that are intuitive, purpose-aligned, and save teachers time without compromising on quality. #AIinEducation #EdTech #TeacherTools #ArtificialIntelligence #DigitalLiteracy #medkharbach #educatorstechnology

The Chan Zuckerberg Initiative just unveiled foundational resources that put educators at the center of the AI era, building the public infrastructure needed for trustworthy, research-backed tools in every classroom. 📍 Knowledge Graph: An open, machine-readable map of academic standards, math learning components, and learning progressions. It works like a navigation system for learning, allowing AI tools to chart precise pathways through academic content. With datasets covering standards from all 50 states across English, math, science, and social studies plus detailed breakdowns of math concepts into smaller learning components - Knowledge Graph makes it possible to design tools that understand learning as a sequence of interconnected skills, much like a GPS mapping roads and routes. 📊 Evaluators: Open tools that check AI-generated outputs for accuracy, rigor, and grade-level appropriateness, beginning with literacy. Developed in partnership with leading experts, these Evaluators help ensure teachers can trust the quality of AI-generated passages, exercises, and other content. 🤝 Claude Integration: Educators can now access Knowledge Graph directly in Anthropic Claude giving them powerful new ways to design lessons and materials grounded in research-backed content, academic standards, and learning progressions. Here’s why this is a big deal: many teachers already turn to Claude for planning and content creation. By connecting Claude to Knowledge Graph through a custom MCP server, its outputs are no longer just  helpful — they’re trustworthy. Teachers can rely on responses that align with state standards and the science of how students learn. Because the integration is built on the open MCP, in the future, they're working on enabling any AI model or edtech tool to more easily plug into Knowledge Graph. This sets the foundation for an entire ecosystem of education technology that’s coherent, rigorous, and easier for educators to trust at scale. 🌳 Learning Commons: CZI's work in education will now be called Learning Commons reflecting their sharpened focus and role within the education ecosystem. CZI is committed to building the core AI infrastructure that supports educators in the classroom, deepening partnerships with teachers, researchers, and developers. As its tools move from private beta to broader availability in 2026, Learning Commons will carry forward the same values: working for a future where education and technology unlock student potential and accelerate meaningful progress for all. This commitment includes continued collaboration across the education ecosystem: co-building the future with educators, district leaders, researchers, and developers. Congrats to the amazing team who led this: Sandra Liu Huang, Helen Hwang, Kristin M., Dan Quine, Frankie Warren, Grace Kuo, Raymonde Charles, Alicia Pompei Links in comments Read Sandra's post here: https://lnkd.in/e38iyAKK

If Teachers Don’t Get AI, Our Kids Won’t Either. Full Stop. The “Demystifying AI” study examined five short, free online AI professional-development (PD) courses for K–12 teachers in #Colombia, #Cyprus, #Ghana, #Greece, #Uganda, the #UnitedStates, and #Qatar, created by World Innovation Summit for Education (WISE) with the MIT PKG Center for Social Impact–12 Initiative and MIT RAISE 🎓. PD here means structured learning experiences that help teachers strengthen skills and bring new practices into the classroom 📚. Using randomized course assignment and pre/post surveys, the researchers explored how course design, language, timing, and delivery influence teachers’ AI knowledge, confidence, and ethical awareness, and how scalable, low-cost PD can support responsible, equitable use of generative AI with students 🌍🤖. 1. 🚀 AI PD boosts practical classroom readiness Short, flexible online AI professional-development courses increased teachers’ comfort using generative tools, crafting prompts, and designing classroom activities for students. 2. 🧠 Conceptual gaps persist in core AI ideas Teachers still struggled with core AI ideas like training data, models, and bias, retaining misconceptions even after completing courses online. 3. 🌎 Language, design, and credentials drive engagement Official translations, simple navigation, mobile-friendly design, and recognizable certificates encouraged higher enrollment, sustained engagement, and positive word-of-mouth among participating teachers. 4. 👩💻 Teacher profiles and infrastructure shape support needs Different teacher experience levels and local infrastructure shaped needs; many required basic digital skills support before engaging with AI content. 5. 🤝 Teachers want sustained, social learning ecosystems Participants valued flexibility, bite-sized modules, downloadable resources, and peer interaction, requesting ongoing communities of practice and follow-up opportunities for learning. Policy recommendations: 📘 Build AI PD frameworks co-designed with teachers and researchers. 🎯 Offer tiered PD pathways matching teachers’ readiness, and experience. 🌐 Guarantee multilingual courses with translations and relevant classroom examples. 🏅 Recognize AI PD certifications linked to progression and incentives. 💻 Invest in connectivity, devices, low-bandwidth platforms, offline-accessible materials everywhere. 🔐 Embed modules on data privacy, bias, and responsible AI. 👩🏫 Support hybrid PD combining asynchronous content with live mentoring. 🤝 Fund teacher communities of practice and peer-led learning networks. 📚 Align AI PD content with curricula, standards, and reforms. 📊 Monitor PD impact with surveys, classroom evidence, continuous improvement. Source: https://lnkd.in/enZN-CuM

What the Research Says AI Tutors: Teacher Integration - The Missing Link in GenAI Implementation Another little dive into the featured research paper in this WTRS series points to useful learnings about teacher preparation. Generative AI in education discussions often focus on the technology itself. But the Carnegie Mellon research reveals that teacher preparation and thoughtful integration make the difference between transformative results and wasted potential. Their findings become even more relevant as schools grapple with GenAI adoption: First, successful implementation wasn't about the technology alone. Teachers needed time to understand not just how to operate the tutors, but how to integrate them strategically into their teaching. This directly parallels current challenges with GenAI - having access to powerful AI tools doesn't automatically translate into effective learning. The research highlighted several critical factors that remain remarkably relevant: 1.     Teacher Understanding: ·       Teachers needed to comprehend the tutors' capabilities and limitations ·       Most successful deployments occurred when teachers viewed tutors as collaborative tools ·       Professional development focused on integration strategies, not just technical operation 2.     Strategic Implementation: ·       Cognitive tutors handled fundamental skill building ·       This freed teachers to focus on higher-order learning support ·       The result was amplified teacher impact, not replacement Compare this to current GenAI implementation challenges: ·       Schools rushing to adopt AI without adequate teacher preparation ·       Lack of clear strategies for integrating AI into existing teaching practices ·       Confusion about appropriate roles for AI versus human teaching The research shows a clear division of labor that worked: ·       AI tutors: Basic skill practice, immediate feedback, progress monitoring ·       Teachers: Complex concept explanation, motivation, social-emotional support ·       Result: More effective learning than either alone could achieve This has crucial implications for current GenAI deployment in education: 1.     Professional Development Needs: ·       Focus on pedagogical integration, not just tool familiarity ·       Help teachers identify appropriate uses for GenAI ·       Develop strategies for blending AI and human instruction 2.     Implementation Strategy: ·       Start with clear learning objectives ·       Identify specific roles for AI support ·       Maintain teacher leadership of learning process The message is clear: successful AI integration requires thoughtful preparation and strategic implementation. Professor Rose Luckin Institute of Education, UCL #AIED #TeacherPrep #BlendedLearning #EdTech #GenAI#SkinnyonAIED #AI #EdTech #Edchat #Leaders #innovation #technology #Learning #Students #Teaching #Edreform  For more thoughts like this read the skinny here: https://lnkd.in/gTaNTRkb

🌲 Free Resource: 30 Ready-to-Use Planning Tools for Schema-Centered Instruction Practical Templates | Field-Ready | Free Editable Download High-impact learning doesn’t happen by accident. It happens when instruction is intentionally designed around how the brain builds knowledge. Schema-Based Learning Templates is a collection of 30 practical, classroom and system ready tools created to support educators who want to plan, observe, reflect, and lead with cognitive structures in mind not just activities or compliance tasks. What makes these templates different: -Most planning tools organize what teachers do. -These templates organize what students are building. Each one centers on: -Schema activation, construction, and strengthening -Productive disfluency and cognitive load -Retrieval, entrenchment, and transfer -Evidence of thinking, not task completion -Flexibility for professional judgment and context -They are meant to be adapted, revised, and lived in not filled out once and filed away. 📘 Inside the Template Collection: -Weekly & daily schema planning — mapping how thinking develops across time -Unit and pacing templates — designing schema networks, not isolated lessons -Schema-to-standards alignment — clarifying the cognitive demands behind standards -Observation & walkthrough tools — seeing learning as it’s actually happening -PLC, coaching, and meeting templates — grounding collaboration in schema evidence -Student schema trackers & support plans — responding to how learning is forming -Family communication tools — making schema learning visible beyond the classroom -School improvement & vision builders — aligning systems around cognitive growth When teams share a schema-based language: Student errors become information, not failure Walkthroughs become learning-focused, not performative Planning becomes clearer and more intentional Neurodivergent learners gain better access Instructional conversations deepen 💡 Perfect for: Teachers, instructional coaches, principals, assistant principals, PLCs, walkthrough teams, district leaders, and anyone looking to align planning and leadership to how learning actually happens. Let the evidence guide what comes next. Rooted in Care. Growing Through Our Connections. 📄 Access Editable PPT Tempalte here: https://lnkd.in/g8nXqYs9 #freeresources #teacherplans #lessonsplans #unitplans #leadershiptemplates Dr. Quennel Cooper Edward Lawless Christina Gallardo-Barrett Bart Becker Mark Cuban Companies Jim DiDonato Katie Jennings Catherine Reimer Alice Martinez, Ed.D. Ana Applegate Fred Dula II, MBA Kim Miller Gregorio Verbera, Ed.D. Aman Kumar Hope Robinson Nathan Swenson Dr. Grant Eloi Dr. Jeff Ridlehoover Michael Litke Jason Pine Amanda Redrow, M.Ed. Sean Gaillard Joseph Armet Archival, Ed.D Caroline Chivovo Celisa Borom, MPH Lisset De La Rosa, M.S., PPSC Upendra Pandey Dr. David V. Sciarretta Dr. Nicole Forrest