Borrow the cycling 'ramp test' model to quickly find each learner’s functional threshold in a subject, then use AI to build a dynamic, individualized plan that adjusts workload up or down over time. The system continuously re‑tests, treating the threshold as a moving baseline rather than a one‑off placement score.
— This could shift schooling from fixed, grade‑level curricula to adaptive pathways that keep students in an optimal challenge zone, reframing standards, assessment, and pacing policy.
Greg Easley
2025.09.25
100% relevant
The author’s Wahoo Kickr ramp‑test example and his question, 'What if education worked like that?' applied to NAEP‑era learning losses and rising student AI use.
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