Learning without guarantees
A field map for learning that gives people foundations and freedom without promising a predetermined result.
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A field map for learning that gives people foundations and freedom without promising a predetermined result.
Learning should expand a person's capacity to perceive, question, create, and revise, not train them to reproduce an authorised answer.
AI can improve performance while assistance is present without guaranteeing that the learner can later perform, explain, or transfer the skill independently.
A National Academies consensus report synthesizing research on learning across motivation, context, culture, prior knowledge, and the life span.
A 2014 PNAS meta-analysis comparing active learning with traditional lecturing across undergraduate STEM courses.
A review arguing that novice learners generally benefit from substantial instructional guidance and that minimally guided discovery can impose excessive cognitive load.
A 2025 PNAS field experiment showing that unrestricted GPT-4 access improved assisted practice performance but reduced later unaided performance, while tutor guardrails largely mitigated the harm.
A 2025 randomized crossover study in introductory college physics reporting higher short-term learning gains and engagement with a carefully scaffolded AI tutor.
A provocation about whether learning, attention, art, rest, and curiosity must justify themselves through measurable output.