Claims

A contingent AI tutor places metacognitive demand equal to a question-only tutor and higher than an answer-on-request assistant

Claim · All claims
Evidence · 1 study (2 entries) · causal r2 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q3 i? Under contingent support, learners reported more effort on the task and on the approach than under the answer-on-request tutor, and did not differ from the question-only tutor on approach effort. → Hou 2026 q3 i? Learners most often named the contingent tutor as the one they thought hardest with and did the most thinking themselves. → Hou 2026 (2)

Evidence

Hou 2026

Hou, X., Weng, Y., Yeh, C. H., Lee, D. L., Zheng, L., Li, F., Wang, W., & Liu, Y. (2026). Adaptive Scaffolding Needs Contingency: An AI Tutor That Escalates and Fades on What the Learner Does. arXiv preprint. https://arxiv.org/abs/2609.22993 doi:10.48550/arxiv.2609.22993

q3 · i? · causal · r2

Within-subjects comparison (N=131, 393 sessions) of three tutors on three Python tasks, analysed with linear mixed models and Holm correction. The contingent tutor exceeded the answer-on-request tutor on "effort spent on the approach rather than the typing"; against the question-only tutor approach effort was equivalent within 0.25 scale points (pTOST = .004).

"Tutor C exceeded Tutor A on effort (+0.46,𝑆𝐸 0.09,𝑝Holm <. 001) and on effort spent on the approach rather than the typing (+0.33, 𝑆𝐸 0.09,𝑝Holm <. 001)."

Hou 2026 (2)

Hou, X., Weng, Y., Yeh, C. H., Lee, D. L., Zheng, L., Li, F., Wang, W., & Liu, Y. (2026). Adaptive Scaffolding Needs Contingency: An AI Tutor That Escalates and Fades on What the Learner Does. arXiv preprint. https://arxiv.org/abs/2609.22993. doi:10.48550/arxiv.2609.22993

q3 · i? · causal · r?

Forced-choice comparative attributions collected once after all three tasks from the same 131 participants, tested against equal attribution with Holm correction. Tutor C was named most often for thinking hardest (52 of 131) and doing the most thinking (49), with Tutor B second and Tutor A third.

"Learners also named Tutor C most often as the tutor with which they thought hardest (52 of 131, 𝜒 2(2)= 16.8,𝑝Holm =. 002) and did the most thinking themselves (49,𝜒 2(2)= 13.2,𝑝Holm =. 011)"

Discussion

Page metadata
Field Value
type claim
id contingent-tutor-metacognitive-demand-matches-withholding-tutor
title A contingent AI tutor places metacognitive demand equal to a question-only tutor and higher than an answer-on-request assistant
description A contingent AI tutor places metacognitive demand equal to a question-only tutor and higher than an answer-on-request assistant
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 2 — hou-2026, hou-2026-2

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