Claims

CCCT participation improved prospective teachers' co-regulation situations (g = 0.512)

Claim · All claims
Evidence · 1 study · causal r1 · q2 · i2 medium
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.

q2 i2 Experimental group co-regulated learning questionnaire scores increased significantly from pre to post after the CCCT intervention, with a moderate effect size. → Özgür Tutal 2026

Evidence

Özgür Tutal 2026

Özgür Tutal. (2026). Artificial intelligence assisted design of a novel cooperative learning technique for higher education. Scientific Reports. https://doi.org/10.1038/s41598-026-50770-1

q2 · i2 · causal · r1

Paired samples t-test on the co-regulated learning questionnaire within the experimental CCCT group (n = 31). Post-survey mean "X = 65.45, SD = 5.21" versus pre-survey X = 61.32 (SD = 9.97), p = 0.043, g = 0.512.

"The results revealed a statistically significant difference (p = 0.043) between the post-survey mean scores (X = 65.45, SD = 5.21) and the pre-survey mean scores (X = 61.32, SD = 9.97). Additionally, the effect size for this improvement in co-regulation behaviors was found to be moderate (g = 0.512)"

Discussion

Page metadata
Field Value
type claim
id ccct-improved-co-regulation
title CCCT participation improved prospective teachers' co-regulation situations (g = 0.512)
description CCCT participation improved prospective teachers' co-regulation situations (g = 0.512)
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 1 — özgür-tutal-2026

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