Lesson prep with AI: a teacher’s starting kit
Prompt patterns for objectives, worked examples, differentiated practice and rubric drafts — with the review step that keeps them accurate.
ReadGuideWriting an AI use policy for your school
A template covering student use, staff use, assessment integrity and data handling, written in language a parent can read.
ReadExplainerKnowledge tracing is not a chatbot
Why the model that decides your students’ next question is a different kind of system from the one that drafts your lesson plan, and why that matters.
ReadChecklistQuestions to ask an EdTech vendor about AI
Twelve questions on data use, model training, opt-outs and human review. Bring it to your next procurement call, including ours.
ReadWorkshopAssessment design when AI can write the essay
Practical alternatives to detection: task design, process evidence and oral defence, from departments already doing it.
ReadOur position
AI proposes. A teacher disposes.
Everything AI generates inside TeachScript arrives as a draft with a name on it, waiting for approval. Nothing reaches a student without a person deciding it should.
- Generated items are reviewed before they enter an item bank
- The mastery model is a knowledge tracing algorithm, not a language model — inspectable and reproducible
- Student work is not used to train third-party models
- Any AI-assisted feedback is labelled as such to the teacher
The useful question is not whether to allow AI in schools. It is which decisions we are willing to let it make, and which ones stay with a teacher.Innovatto — on responsible use
Want these as a staff workshop?
We run sessions for departments and leadership teams, tailored to the policy you are trying to write.