AI Master Teacher Project
An AI-supported framework for responsive, targeted reteach
AI for Intervention is a strategy to help teachers use AI to personalize reteaching and intervention for students who need a little extra support. The strategy is meant for classroom teachers who want to close learning gaps without adding hours to their workload. This approach can be used after assessments, during progress checks, or anytime students need another chance to master a concept.
The goal is to make reteaching more intentional and responsive, using AI to highlight trends, suggest activities, and provide instant feedback. By blending teacher intuition with AI insight, we can make learning more meaningful and keep growth going long after the bell rings.
Leveraging AI to personalize learning from the teacher's plan to the student's experience
Creating an AI differentiation chatbot can help teachers to automatically adjust, summarize, and scaffold materials to meet diverse student needs. Additionally, students in grades 6 and up can use a chatbot as an accommodation tool with the appropriate setup from their teacher. This strategy supports Tier 1 and Tier 2 for all grade levels and subjects, benefiting teachers who want to personalize instruction efficiently while maintaining rigor. Check out the related strategy, AI for Intervention, if you are interested in other approaches to leveraging AI for differentiation.
Use AI tools to help students manage complex research, synthesize information, and reflect on learning throughout the PBL process
Project-based learning (PBL) thrives when students can organize ideas, connect information, and communicate insights clearly. Yet managing multiple sources and synthesizing evidence can overwhelm even the most motivated learners.
This strategy helps teachers integrate AI-supported research and synthesis workflows to make these processes more manageable and meaningful. Students use AI to summarize sources, ask clarifying questions, compare perspectives, and generate reflections—while staying grounded in authentic inquiry and source-based learning.
Your goal is to help students think more critically and independently.
Use AI and evidence to strengthen your ideas to prove your claim
This strategy helps students develop strong, evidence-based arguments by using AI tools to locate, evaluate, and explain reliable information. Designed for middle and high school students, this strategy can be used during research, argumentative writing, or inquiry-based lessons across subjects. Through guided prompts, students learn to identify credible sources, analyze how evidence supports a claim, and explain the cause-and-effect relationships that connect their evidence to their argument.
The desired outcome is for students to construct well-supported claims that show critical thinking, an understanding of cause and effect, and an appreciation for the deeper meaning behind their evidence. This strategy is effective because it integrates AI literacy with academic writing skills, encouraging students to think deeply about how and why their evidence matters rather than simply summarizing information.
Students tackle real-world projects with AI as a partner for brainstorming, getting feedback, and creating an authentic product
This GRASPS+AI strategy uses AI-supported, structured guidance that helps students develop critical thinking, create meaningful products, and succeed by assisting with idea development, feedback, and refinement.
Goal, Role, Audience, Situation, Product, Standards (GRASPS) is a teaching approach for designing assignments around real-world tasks, helping students think and work like professionals. AI supports students as they refine and test their thinking and end product.
This strategy can be applied in any subject or lesson that requires problem-solving, creativity, or the application of knowledge. It is suitable for students of all levels who benefit from guided, authentic learning experiences.
Explore big ideas and famous minds by interviewing history, science, and literature through AI Chatbots
This strategy uses an AI chatbot as a research and interview tool to help students gather accurate information, compare two figures or concepts, and create a final product that synthesizes their findings. It is designed for secondary students who are learning to research, analyze, and compare information across subjects like literature, science, or social studies. This strategy can be used during lessons focused on comparing historical figures, scientific concepts, literary characters, or competing ideas.
The desired outcome is for students to develop critical thinking and research skills, verify information, identify similarities and differences between subjects, and communicate their analysis clearly in a creative format. It is effective because it engages students in active learning, models proper research and fact-checking, encourages evaluation of AI-generated information, and supports multiple ways of expressing understanding.
Overall, it combines technology, analysis, and creativity to deepen learning and make complex comparisons accessible and meaningful.
Using AI to build lasting connections to academic language
This strategy guides students to define academic vocabulary, expand their understanding using AI, and connect each term to their personal and cultural experiences. This strategy is designed for middle and high school students, especially those who benefit from making abstract concepts more relatable. You can use the strategy at the beginning of a new unit, when introducing key terms, or as a reflective activity after learning.
The desired outcome is for students to develop a deeper, more meaningful understanding of academic vocabulary by linking it to their own lives and communities.
The strategy is effective because it transforms vocabulary learning from memorization into personal exploration, builds engagement, and models how AI can support, not replace, critical thinking.
Structured routine to make evidence-based writing explicit
ClaimCraft is a structured claims-evidence-reasoning (CER) routine that guides students from prompt to polished writing by using a short passage and a small data display, with optional AI supports, bilingual sentence frames (EN/ES), a mini-four-level rubric, and quick peer feedback to make evidence-based writing explicit. The approach is designed for grade 6–8 science classes—especially multilingual learners and students who benefit from clear scaffolds—as well as teachers seeking low-prep, high-impact science writing. The routine can be used in any unit with a graph, table, or short text (lab days, data-talk warm-ups, stations, or post-reading synthesis), fitting a 20- to 35-minute block or expanding to a full period with a gallery walk.
The desired outcome is that students produce a clear, testable claim, cite 2–3 precise data points with units, and connect them to the relevant science idea, while teachers get actionable evidence via the rubric to target reteaching and extension.
The strategy is effective because it pairs explicit scaffolds with authentic data and metacognitive prompts, moving students from listing facts to explaining cause and effect with evidence.
A 6-step framework to anchor learning in student creativity while using AI for expert simulation and revision
This strategy leverages AI to expand the acquisition of learning beyond what a single teacher, text, or classroom experience can provide. It is designed for all students, including students with disabilities and English learners, by increasing access to background knowledge, real-world contexts, multiple perspectives, and responsive support.
The strategy can be used during unit launches, inquiry-based activities, simulations, and performance tasks to deepen understanding and application of learning. It is effective because AI scales context, content, and feedback in ways that increase rigor while reducing barriers to access.
Using AI as a writing lab
This strategy engages students in analyzing, revising, and reflecting on AI-generated explanations. It is designed for middle and high school students across subjects like English, science, social studies, and art. Students practice identifying strengths and weaknesses, improving clarity and accuracy, and understanding how drafts evolve through feedback.
The strategy is effective because it makes the writing process visible, encourages critical thinking and peer discussion, and integrates technology to support meaningful learning.
"Many Roads" generates five unique, student-centered pathways to launch new learning
"Many Roads" is a planning strategy that uses AI as a brainstorming partner to generate multiple, accessible entry points into new learning, all aligned to a learning target. This strategy is designed for classroom teachers across grade levels and content areas who want to strengthen lesson engagement without increasing planning time or losing instructional control.
Teachers use the strategy during lesson planning, particularly when introducing new concepts, working with diverse learners, or feeling stuck on how to begin a lesson. The desired outcome is a single, high-leverage lesson opener that helps more students access the learning from the start of instruction.
This strategy is effective because it reduces cognitive overload, expands instructional options, and expands professional judgment.
This strategy asks students to answer critical thinking questions independently before using AI to generate a response to the same questions. It is designed for middle and high school students across content areas, especially in classes that emphasize reasoning, perspective, and analysis. The strategy can be used during lessons, assessments, or reviews or as part of media and AI literacy instruction.
The desired outcome is for students to strengthen their own thinking, identify gaps or misconceptions, and learn how to use AI as a support tool rather than a shortcut. By comparing human and AI responses, students evaluate depth, bias, clarity, and perspective.
This strategy is effective because it centers student thinking first, promotes metacognition, and explicitly teaches responsible, critical use of AI.
Consistent, criteria-driven feedback powered by AI, guided by teacher expertise
This strategy uses artificial intelligence as a drafting assistant to help teachers generate timely, criteria-based feedback on student work while preserving professional judgment. It is designed for 3–12 teachers across content areas, especially in classrooms where written feedback and differentiation are essential. The strategy can be used during grading, formative assessment, revision cycles, or conferencing, both digitally and in print.
The desired outcome is consistent, specific, and actionable feedback that students understand and can use to improve their learning.
It is effective because feedback is anchored in clear criteria for success, reducing subjectivity and cognitive load for teachers. By accelerating the first draft of feedback, AI allows teachers to spend more time refining instruction and supporting student growth rather than repeating similar comments.
Better prompts, better results - precision prompting for high quality teacher materials
Teachers don’t have time to wrestle with long prompts. The G-A-P-P Method—Goal, Action, Parameters, Product—keeps AI prompting quick and clear.
You’ll start with a single idea (e.g., “I need bell ringers on energy transfer”) and enter it into a prompt AI tool. I used Prompt Cowboy, which is free to try and use for basic functions. The tool automatically expands that thought by asking a few clarifying questions—helping you define your Goal, refine your Action, set key Parameters, and name the Product you want.
Then, paste the optimized prompt into your AI tool (e.g., ChatGPT, Brisk, Gemini, etc.) to generate lessons, assessments, rubrics, emails, or feedback in seconds.
This workflow saves time, reduces guesswork, and improves AI output quality. You’ll get a simple checklist, examples across subjects, and guidance for reflection and differentiation.
Designing differentiated lessons with one shared learning objective
Pathways is an AI-supported instructional planning strategy that helps teachers design lessons with one shared learning goal and multiple intentional pathways for students to access content, engage in practice, and demonstrate understanding.
The strategy is designed for classroom teachers across grade levels and content areas who teach students with varied readiness levels, learning needs, and strengths. Pathways can be used during daily lesson planning, multi-day units, assessment design, or moments when teachers need to quickly adapt instruction without rebuilding an entire lesson.
The desired outcome is instruction that maintains consistent rigor while increasing access, engagement, and opportunities for student success. Pathways is effective because it separates the learning goal from the learning path, allowing teachers to anticipate barriers and plan flexible supports in advance.
By embedding differentiation into lesson design rather than adding it on later, Pathways supports student persistence, confidence, and academic growth while improving teacher efficiency.
Leverage AI to turn quick student checks into purposeful instructional moves
AI Signal Check is a real-time diagnostic protocol designed to replace instructional guesswork with clear evidence of student thinking, allowing teachers to make intentional, data-driven pacing decisions in the moment. Signal Check is a practical way to find out who’s ready and who needs more support before moving forward. It replaces instructional guesswork with clear evidence of student thinking.
The protocol fits easily into any lesson—after new learning, before independent work, or prior to an assessment. Because it’s low-stakes, students can show what they know without pressure. Teachers walk away with actionable information, not just completed work.
Over time, regular signal checks lead to stronger pacing decisions and fewer surprises later. It’s a small shift that makes a big difference in instructional clarity.
Use AI to make student reasoning visible and actionable
This strategy helps teachers check for student understanding by capturing how students think, not just whether they produced the "right" answer. It shifts the focus from correctness to reasoning by using AI tools that surface patterns, misconceptions, and learning processes.
Students complete short “thinking captures” (explanations, sketches, verbal reasoning, worked steps) and AI tools provide instant formative feedback that the teacher can use during the same lesson.
This strategy is AI tool-agnostic, best demonstrated by Snorkl.app (which records voice and sketch reasoning), and applies equally well to alternatives including Brisk Teaching, LMS tools, and common AI chat partners.
It emphasizes clarity, simplicity, and the ability for any teacher—AI beginner or expert—to implement it immediately.
Your AI Co-Pilot for classroom and Sub-Ready Plans
Lesson Forge is an AI-assisted, teacher-led lesson planning strategy that helps educators quickly create standards-aligned, classroom-ready or substitute-ready lesson packages, while maintaining full instructional ownership.
The strategy uses a two-mode workflow: a Guided Planning experience that supports intentional, question-by-question lesson design, and a Fast-Track option that swiftly generates complete lessons immediately using safe defaults.
Both modes produce editable 45–60 minute lessons, short exit tickets, and one-page substitute guides with minimal prep time. Lesson Forge can be used during regular planning, emergency or substitute preparation, unit design, and professional learning.
Its desired outcome is consistent, high-quality instruction that returns valuable prep time to teachers while ensuring clarity and continuity of instruction—even when the classroom teacher is absent.
Lesson Forge is effective because it pairs automated generation with explicit teacher quality assurance, ensuring educators remain the final authors and gatekeepers of instructional accuracy, alignment, and rigor.
