Claims

Model answers combined with self-assessment instructions interactively improve monitoring-based regulation accuracy, with two model answers most effective

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2024 · checked against its sources 2026-10-23 (automated, 1 of 1 entry) · 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? The largest pairwise difference was between no model answers/no instructions and two model answers with instructions (estimated mean difference = -0.15, p = .02); with instructions, two model answers beat one (p = .04). → Hepner 2024

Evidence

Hepner 2024

Hepner, S. L., Oudman, S., Carlson, T. E., van de Pol, J., & van Gog, T. (2024). Improving (meta)comprehension: Feedback and self-assessment. Learning and Instruction, 92, 101922. https://doi.org/10.1016/j.learninstruc.2024.101922

q3 · i? · causal · r2

Tukey-adjusted pairwise comparisons (emmeans, Kenward-Roger df) on monitoring-based regulation accuracy; the printed "estimated mean difference = -0.15" contrasts are reported descriptively with t and p values, no effect size.

"The greatest difference in monitoring-based regulation accuracy was between those with no model answers and no self-assessment instructions compared to those with two model answers and self-assessment instructions (estimated mean difference = -0.15, t (252) = 3.25, p = .02), while those who had access to self-assessment instructions also did significantly better when they had two model answers instead of one (estimated mean difference = -0.15, t (252) = 2.92, p = .04)."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id model-answers-self-assessment-interaction-regulation
title Model answers combined with self-assessment instructions interactively improve monitoring-based regulation accuracy, with two model answers most effective
description Model answers combined with self-assessment instructions interactively improve monitoring-based regulation accuracy, with two model answers most effective
status review
evidence_strength moderate
newest_evidence 2024
source_checked 2026-10-23
generated by process:wiki-ingest on 2026-10-23
trust unverified — no one has confirmed this page's content
sources 1 — hepner-2024

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