A Teaching Idea for AI Fluency Sessions
The author’s own note (brought up in a Claude chat, then adopted) sketching a teaching
frame for AI-fluency sessions. Core thesis: the question that matters isn’t which AI
tool a learner reaches for — it’s whether they still do the thinking themselves.
That thesis is operationalised as a 2Ă—2 of effort Ă— actual-understanding, giving
four modes (compiled as a concept in ai-learning-modes): cheating (copy
and move on), amplifier (low effort, high understanding — quiz/debate/verify, the
sweet spot for a busy learner), traditional grind (high effort, low understanding —
valid but slow), and augmented mastery (high effort, high understanding — go deeper
with AI, then teach it back without AI to prove it stuck).
Open threads the author flagged on the note itself: the frame is thinking-oriented, so
skill-building (and, later, what turns thoughts and skills into wisdom) may need
separate treatment; whether a diagnostic inventory could surface where a learner is
missing AI leverage (i.e. gaps in the amplifier and augmented-mastery modes); and
whether those gaps could trigger cohort actions tailored to each learner.