Do Gains from Generative AI-Enabled Adaptive Pretesting Persist? Evidence from a Retention Study (opens in new tab)
Pretesting - attempting problems before instruction - supports learning by activating prior knowledge and sharpening attention to subsequent instruction. Recent work suggests that adaptive AI-assisted pretesting can yield further advantages, particularly for tasks requiring higher-order reasoning, yet it remains...
Why this label for Do Gains from Generative AI-Enabled Adaptive Pretesting Persist? Evidence from a
- Level 2: Correlational: Randomized retention study, but sample size not reported; held at 2 until n is verified.
- Review status: Confirmed against the published method (AI-assisted review)
- Grader A: R5 design ceiling: undergraduates were randomly assigned to study conditions and assessed on posttest performance.
- Grader B: R5 RCT (undergraduates randomly assigned, seven-week retention, learning outcome) gives Level 3; R6 imprecision lowers it to 2 because n and intervals are not reported (RCT without n, needs human review)
- Rule version: METHODOLOGY v0.3, pipeline v1, rules rules-v0.4
- Retrieval practice: matched 'retrieval practice'
- Spacing and interleaving: matched 'spaced retrieval'
Graded blind by two AI graders against our published method. Confirmed against the published method (AI-assisted review) Method