Claims

AI-supported PBL students obtain significantly higher posttest computational thinking scores than traditional-lecture students when controlling pretest scores

Claim · All claims
Evidence · 1 study (2 entries) · causal r1–r2 · q2 · i3 large
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 i3 In a quasi-experiment with 103 first-year Nigerian undergraduates, the AI-PBL group showed a statistically significant main effect of instructional group on posttest computational thinking, F(1, 70) = 149.23, p < .001, partial η2 = .681, with adjusted means of 3.81 (AI-PBL) versus 2.40 (control). → Ayanwale 2026 q2 i? The computational thinking benefit of AI-PBL was statistically significant for both female students (F = 105.50, p < .001) and male students (F = 54.79, p < .001). → Ayanwale 2026 (2)

Evidence

Ayanwale 2026

Ayanwale, M. A., & Omeh, C. B. (2026). AI-supported problem-based learning for enhancing computational thinking skills in STEM education. Computers in Human Behavior: Artificial Humans 7 (2026) 100263. https://doi.org/10.1016/j.chbah.2026.100263

q2 · i3 · causal · r2

One-way ANCOVA in a quasi-experimental pre-test–post-test non-equivalent groups study of 103 first-year undergraduates (51 AI-PBL, 52 lecture control), controlling Pre_CT_Total and gender. The adjusted marginal mean for the experimental group (M = 3.81, SE = 0.08) exceeded the control group (M = 2.40, SE = 0.08), "partial η2 = .681".

"The results revealed a statistically significant main effect of instructional group, F (1, 70) = 149.23, p < .001, partial η2 = .681, indicating a large effect size"

Ayanwale 2026 (2)

Ayanwale, M. A., & Omeh, C. B. (2026). AI-supported problem-based learning for enhancing computational thinking skills in STEM education. Computers in Human Behavior: Artificial Humans 7 (2026) 100263. https://doi.org/10.1016/j.chbah.2026.100263

q2 · i? · causal · r1

Simple main effects follow-up from the same ANCOVA study, reported in the Results section, showing the instructional benefit was "consistent across genders"; no effect sizes are printed for these follow-up tests.

"Further analysis using simple main effects showed that this group difference was statistically significant for both female students, F = 105.50, p < .001, and male students, F = 54.79, p < .001"

Discussion

Page metadata
Field Value
type claim
id ai-pbl-higher-posttest-computational-thinking
title AI-supported PBL students obtain significantly higher posttest computational thinking scores than traditional-lecture students when controlling pretest scores
description AI-supported PBL students obtain significantly higher posttest computational thinking scores than traditional-lecture students when controlling pretest scores
status review
evidence_strength moderate
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 2 — ayanwale-2026, ayanwale-2026-2

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