pith:GNR3B7VD
Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education
Strategically timed GenAI access decided by a reinforcement learning agent improves post-test performance and metacognitive accuracy over unrestricted or withheld use.
arxiv:2605.15850 v1 · 2026-05-15 · cs.CY · cs.AI · cs.HC
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Claims
Strategically timed GenAI access under the reinforcement learning condition improved objective post-test performance and metacognitive accuracy compared with unrestricted access, while reducing task errors and time on task relative to complete withholding, all without the need for explicit metacognitive prompts or structured scaffolding.
The reward function derived from metacognitive theory, cognitive load theory, and productive failure produces access decisions that causally improve learning and metacognition in the absence of any explicit scaffolding.
A reinforcement learning agent for timing GenAI access in education yields better post-test performance and metacognitive accuracy than unrestricted use and fewer errors than full restriction in a 105-participant lab study.
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Receipt and verification
| First computed | 2026-05-20T00:01:21.823950Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GNR3B7VDZSLRZHI6XVOUCXM5F3 \
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# expect: 3363b0fea3cc971c9d1ebd5d415d9d2efe64eee7d8f0e6378895032cd0bee172
Canonical record JSON
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