Workshop sessions
Session 02
AI in the learning environment
Four jigsaw stations: Deep Research, voice transcription, NotebookLM, and Gems / Agents. Demonstration videos embedded.
Open session →Session 03
Assessment, AI and hard thinking
The AI Assessment Scale, the Decision Pause, and a workshop to redesign one of your existing tasks.
Open session →Session 04
Metacognition, feedback and workload
The expertise reversal effect, recognitive vs. extra-recognitive feedback, and a follow-along build of a Gemini Gem.
Open session →The throughline
The output is not the learning. The thinking is the learning.
AI can produce polished output without activating any student thinking. The five-point Resistance Framework runs through every session:
- Expertise. Build domain knowledge before AI access.
- Evaluation. Develop judgement of quality before delegating it.
- Metacognition. Know when you're learning and when you're consuming.
- Cognitive Stretch. Use AI to extend thinking beyond what is possible alone.
- Feedback. Distinguish what AI can offer from what only a teacher can.
Furze (2026), Resistance as a Framework for Combating Cognitive Offload.