AI feedback tools for teachers: what they can draft, and what should stay yours
Marking is where teachers lose evenings. Some of it can be sped up safely, and some of it shouldn't be handed to a machine at all.
Read entry →Short, honest notes on why we're building this the way we are — what's live, what isn't, and why.
Marking is where teachers lose evenings. Some of it can be sped up safely, and some of it shouldn't be handed to a machine at all.
Read entry →The structure a Pakistani teacher can copy directly, plus what actually changes when a plan is written for Urdu-medium teaching from the start.
Read entry →One outcome, three routes to it. How to prepare mixed-level practice in the time you'd normally spend on one worksheet.
Read entry →Speed isn't model speed — where the real time actually goes, and how to genuinely cut it down.
Read entry →AI can save a teacher time on adapting materials for different learners. It cannot, and should not, make decisions about a child.
Read entry →Beyond individual teacher tools — the real policy and pilot programs underway right now, checked against primary sources.
Read entry →Trust in classroom AI depends less on the tool than on whether people were told plainly how it's being used.
Read entry →Concrete techniques, not just naming the problem — batching, protected planning time, and where AI genuinely helps.
Read entry →The tools sold to catch AI-written homework are less reliable than they look, and they can wrongly accuse the students who write in a second language.
Read entry →A tool-agnostic walkthrough — works whether you're using ChatGPT, a board-scoped generator, or anything in between.
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