Claude for Teachers
50 articles in series
Fifty essays on Anthropic's Claude for Teachers launch and its ecosystem — the free-for-educators offer, the Learning Commons standards connector, the open-source K-12 lesson-planning and differentiation skills, the partner integrations (MagicSchool, Brisk, Diffit, Eedi, Canva, and more), teacher workflows with Claude Code and Cowork, FERPA and the AFT Gold Standard, AI-fluency training, and the public goods shipped alongside it.
MagicSchool + Claude: Making Instructional Content Classroom-Ready
MagicSchool's Claude for Teachers connector makes instructional content classroom-ready — the finishing step that turns a solid draft into something you can actually put in front of students tomorrow.
Mastery-Based Learning with an AI Partner
Mastery-based learning is a proven practice that's brutal to run at scale — it needs constant reassessment, a clear map of what comes next, and materials for wherever each student actually is. Here's how progressions, differentiation, and assessment loops make it feasible with Claude for Teachers.
One Lesson, Three Readiness Levels: The Differentiation Problem, Solved
Differentiation is the highest-value, most time-expensive thing a teacher does — which is why it's usually the first thing to get cut. Here's why Claude for Teachers targets it, and how it becomes a minutes-long job.
Teaching Science from Trusted Curricula: OpenSciEd + Claude
Claude for Teachers brings OpenSciEd into the planning loop, so science lessons are grounded in a vetted curriculum instead of generated from scratch. Here's what teaching from trusted materials buys you that raw generation can't.
Plan a Week of Lessons from High-Quality Instructional Materials
The Claude for Teachers lesson-planning workflow, step by step: ask for a lesson, let Claude draw on curricula mapped to your state's standards and the progressions beneath them, and get back a plan plus student-facing materials you revise.
Small-Group Instruction at Scale, with an AI Planning Partner
Differentiation, mastery-based learning, and small-group instruction reliably help students — and reliably cost teachers time they don't have. Claude for Teachers doesn't replace the practice; it becomes the planning partner that makes it feasible.
Snorkl + Claude: Insights on Classes, Assignments, and Progress
Snorkl's Claude for Teachers connector surfaces insights about classes, assignments, and student progress to inform instruction — closing the loop from what happened in class to what you plan next.
Standards-Aligned by Construction, Not by Afterthought
Most AI lesson tools write first and align later. Claude for Teachers draws standards and learning progressions at planning time, so lessons come out aligned and scaffolded by construction — not retrofitted with a standard code stapled on at the end.
Subject-Specific Rigor: The ELA, Math, Science, and Social-Studies Reference Packs
Both open-source Claude for Teachers skills ship per-subject reference files — ela.md, math.md, science.md, social_studies.md, plus learning-commons-kg.md. Here's why subject-specific guidance beats one generic prompt.
What to Share and What Not To: A Teacher's Data-Hygiene Checklist
You control what class data goes into Claude, and nothing you share trains the model. Here's a practical, teacher-tested checklist for handling rosters, diagnostics, and notes responsibly.
TeachFX + Claude: Instructional Feedback Grounded in Real Classroom Talk
TeachFX's Claude for Teachers connector gives personalized instructional feedback grounded in real classroom talk — feedback on your teaching, from your actual room, not a once-a-year observation.
The 4pm Exit-Ticket Review That Runs Itself
Scheduled tasks in Claude for Teachers let you hand off reviewing each day's exit tickets and adapting tomorrow's plan — running every school day at 4pm, so the analysis is done by the time you get home.