How AI Supports Student Learning

We are excited to announce the release of our "Guide to Integrating Generative AI for Deeper Literacy Learning" - a collaboration between AI for Education and Student Achievement Partners. We co-developed the guide with SAP, experts in high quality instruction, with an understanding that both the technology and its educational applications are at it's earliest stages. We also know that many teachers, leaders, and students are concerned about the impact the tools will have on learning. We want this guide to act as a jumping off point for educators that are trying to determine if GenAI can positively intersect with high quality instruction in the literacy classroom. The Key Principles of the Guide: •  GenAI tools should support, not circumvent, productive struggle for students •  AI literacy should come before the Integration of GenAI tools •  GenAI should augment educators’ pedagogical expertise, content knowledge, and knowledge of students •  Integration when appropriate should enhance, not replace, proven instructional practices •  Usage should align with students’ developmental readiness and literacy goals Highlights: • A framework for distinguishing productive vs. counterproductive struggle in literacy classrooms • Practical strategies for using AI to enhance student engagement without replacing critical thinking for students •  Best practices for enhancing cognitive lift and what strategies to avoid that offload cognitive lift • Detailed GenAI use cases across foundational skills, knowledge building, and writing instruction • Elementary-specific guidance emphasizing teacher-led AI implementation and modeling • Comprehensive worked examples with Chatbot transcripts that illustrate these practices This is just the beginning, which is why we're actively gathering educator feedback to refine and expand these resources through a survey in the guide. Thank you so much to Carey Swanson and Jasmine Costello, PMP from SAP for being such wonderful partners in this work! You can access the full guide or watch the accompanying webinar in the link in the comments! #ailiteracy #literacy #GenAI #K12

Some thoughts on how we integrate AI into education: We first need to start by recognizing which skills are becoming more valuable and designing new ways to teach them. We all remember the effort it takes to write a paper—revising, structuring arguments, and refining our points. With AI, everyone will have a writing co-pilot to handle the mechanics, making the process more efficient. So, what if we redirected that effort into helping students develop higher-order skills like critical thinking, prompt design, and iterative analysis? A thought experiment: Imagine an assignment where students submit not just their essays but also the prompts they used to get AI-generated critiques. Their task wouldn’t be just to write and submit—it would be to argue, analyze, refine, and iterate. In less time than it takes to write a traditional paper, students could engage in deeper intellectual exercises—interrogating their own arguments, considering counterpoints, and strengthening their reasoning. For teachers, AI can streamline grading while amplifying feedback—providing broad insights that help shape targeted, meaningful commentary. This means students receive richer, more personalized guidance, making learning more interactive and impactful.

“AI is killing critical thinking." That’s the debate, right? That if students use AI, they’ll stop thinking for themselves? But there’s the flaw in that narrative—critical thinking isn’t about avoidance. If we keep positioning AI as a threat to thinking, we miss the bigger opportunity: to design learning experiences where students wrestle with ideas, troubleshoot problems, and refine their reasoning. The narrative is in your hands. Students disengaged? AI might be the perfect addition to your toolbox. Not by handing them answers—but by making them earn them. Here’s how flipping the script on AI can re-engage students across subjects: ✅ Math– Instead of solving problems, AI generates incorrect solutions. Students become the detectives, diagnosing errors and justifying corrections. ✅ English/History– AI debates students with an opposing viewpoint on a book or historical event. Instead of summarizing, students sharpen arguments, analyze bias, and refine persuasion. ✅ Science– AI describes a fictional planet’s gravity and atmosphere. Students determine if humans could survive there, using real-world physics and biology to back up their claims. ✅ Art– Instead of generating art, AI critiques student work from the perspective of Van Gogh, a minimalist, or an AI itself. The result? Students engage in deeper reflection and artistic intent. ✅ Coding– AI presents buggy, inefficient code, and students have to debug it. Less memorization, more hands-on problem-solving. The best part? Privacy stays intact; AI isn't collecting student data, just giving them a challenge to wrestle with. We don’t need AI to think for students. We need to use it in ways that push them to think harder. AI isn’t the problem. It’s how we use it that matters. Let’s build the future of learning with that in mind. Who else is designing AI-powered learning experiences that keep students in the driver’s seat? Let’s swap ideas. #AIinEducation #EdTech #StudentEngagement

Today, I witnessed something extraordinary in my classroom that challenged everything we think we know about AI in education. Instead of handing students a rigid playbook of dos and don'ts with AI, I decided to flip the script entirely. Since summer, I've watched the endless parade of methodological frameworks and usage guidelines sweep through education. Each promising to be the "right way" to integrate AI into learning. But today, we tried something radically different. I simply asked my students to use AI to brainstorm their own learning objectives. No restrictions. No predetermined pathways. Just pure exploration. The results? Astonishing. Students began mapping out research directions I'd never considered. They created dialogue spaces with AI that looked more like intellectual partnerships than simple query-response patterns. Most importantly, they documented their journey, creating a meta-learning archive of their process. What struck me most was this: When we stopped fixating on the tangible "products" of AI interaction and instead centered on the mental maps being developed, something magical happened. Some might say this approach is too unstructured, too risky. But consider what we're gaining: 1. Metacognitive development: Students are thinking deeply about their own learning process 2. Agency and ownership: They're designing their own educational pathways 3. Critical navigation skills: Learning to chart courses through AI-enhanced knowledge spaces 4. Creative confidence: Freedom to experiment without fear of "wrong" approaches 5. Future-ready adaptability: Building skills to work with evolving AI systems We're not just teaching students to use AI – we're empowering them to design their own learning ecosystems. The focus isn't on what appears on the screen, but on the neural pathways being forged, the cognitive frameworks being built. Watching these students navigate this space, I'm reminded that the future of education isn't about controlling AI use – it's about nurturing the wisdom to use it well. We need to trust our students' capacity to be architects of their own learning journeys. The real breakthrough happens when we stop seeing AI as space to be contained and start seeing it as a landscape to be explored. Our role as educators isn't to build fences, but to help students develop their own compasses. #AIEducation #FutureOfLearning #EducationalInnovation #StudentAgency #EdTech #CognitiveDesign #GenerativeThinking Amanda Bickerstaff Stefan Bauschard Dr. Sabba Quidwai Mike Kentz David Gregg David H. Doan Winkel Jason Gulya Dr. Lance Cummings. Alfonso Mendoza Jr., M.Ed.

The Future of Education: AI and Teachers - A Powerful Partnership 🚀 The Bertrand Education Group (B.E.G)'s experience with PrepAI has shown us that the question isn't whether AI should replace teachers—it's how AI can enhance the teaching experience. Here's what we've learned from implementing AI in education: AI's Strengths: - 23% improvement in academic performance through personalized learning - Real-time feedback mechanisms that optimize skill development - Data-driven insights that align training with market demands - Advanced simulations for practical experience The Human Element: - Cultural adaptability and emotional intelligence - Trust-building and mentorship - Motivational guidance through challenges - The irreplaceable power of human connection The Winning Formula: PrepAI demonstrates that when AI handles routine tasks, educators can focus on what matters most—mentorship, inspiration, and personalized guidance. This synergy has led to 79% efficiency gains for educators while maintaining the human element that makes learning meaningful. The future of education isn't about replacement—it's about empowerment. Through strategic partnerships with educators worldwide, we're creating a balanced ecosystem where technology enhances rather than replaces human potential. What role do you see AI playing in the future of education? Share your thoughts below. #AI #Education #EdTech #Innovation #FutureOfLearning #PrepAI #Teaching #VocationalTraining #AIinEducation

This new Stanford study might change how we think about AI in education. Everyone’s talking about AI that writes lessons. But what about AI that understands students? The study, from Stanford University and Carnegie Learning, found that just 2–5 hours of student interaction with an edtech tool can predict end-of-year test performance with surprising accuracy. In some cases, it matched the predictive power of full-year data or even a formal pre-test. AI’s real value in education might not be content generation (e.g. lesson planning or rubric generation). It might be early prediction—the ability to identify struggling students before any test is given. That’s the bet we’re making at Flint. We’re not just helping teachers generate materials. We’re helping them understand where students are, how they’re progressing, and what to do next. All in real time via an army of AI teaching assistants. The next generation of AI edtech tools will focus on what students need—and when. Full study (and overview) linked in the comments 👇 #ai #edtech #aiedtech #flint