E-learning & AI
Learning nuggets on AI, learning science and digital education: short videos with articles, sources and exercises for teaching and training.
My position
AI produces text, code and concepts in seconds. Checking, deciding and taking responsibility do not scale with it. That is why, for AI in schools and continuing education, I ask about the assignments, not the tool. The answer may come from the AI. The reasoning may not.
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Mix, don't block: three times better on the test
Mixed practice feels harder than practising in blocks but lasts longer: a week later, the mixed group scored 63 rather than 20 percent.
Model, LLM, chat, agent: four terms, one picture
Model, LLM, chat and agent sit inside each other like layers: the model computes, the chat answers, the agent acts.
RAG explained: your AI never read the handbook
An AI assistant with RAG only sees a few snippets of your documents; if the material fits in the context window, it is often better to put it all in.
Three time sinks you can hand over to AI
In a trial in England, teachers using ChatGPT spent 31 percent less time on lesson preparation; three tasks can be handed over as drafts.
Making assignments AI-robust
Banning AI for homework achieves little. Redesigning the assignment keeps the thinking with the learners.
Less on the slide, more room to think
Listening while reading a full slide means two streams of language at once, and that attention is then missing for understanding.
The data traffic light: what can go into AI?
Learners' personal data does not belong in AI tools; a simple traffic light helps you decide quickly what can go in.
Online is not the same as online
"Online" says little about a course. Three dimensions show which balance of flexibility, guidance and self-regulation fits whom.
Learning isn't an event. It's a rhythm.
Without repetition, what we learn is soon gone, as Ebbinghaus showed in 1885; planning moments of recall turns learning into a rhythm.
AI detectors are not proof
Even one percent false alarms means ten honest students suspected per 1000 essays, and in practice AI detectors are far less accurate.
AI doesn't lie. It guesses.
Language models don't make things up on purpose: they pick the most likely next word and are rewarded for guessing.