STEM students using real-time AI feedback achieved nearly double the mean gain score of students receiving conventional human-led instruction¶
Claim · All claims
Evidence · 1 study · causalr?·q2
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 i? In a quasi-experimental pre-test/post-test control group study, the AI-augmented group achieved a mean gain score of 38.05 versus the control group's 18.33. → Nuhu 2026
Evidence¶
Nuhu 2026¶
Nuhu, K. M., Ahmed, H. S., & Olumorin, C. O. (2026). Impact of real-time AI feedback on the technical skill acquisition of STEM students in Colleges of Education in Kwara State. Aminu Kano Academic Scholars Association Multidisciplinary Journal, 5(2), 65-76. https://doi.org/10.64726/ve5g5r44
q2 · i? · causal · r?
Quasi-experimental pre-test/post-test control group study of 240 students at three Kwara State colleges. ANCOVA analysis showed the AI-augmented group "achieved a mean gain score of 38.05, nearly double that of the control group's 18.33". No effect size is printed, so impact is unquantified.
"Data analysis using Analysis of Covariance (ANCOVA) revealed that the AI-augmented group achieved a mean gain score of 38.05, nearly double that of the control group's 18.33."
Discussion¶
Related Claims¶
- In a 16-week quasi-experiment, A-Level STEM students receiving high-frequency automated marking scored 16.8 percentage points higher on a blind-graded final mock exam than control students with human marking — related
- Senior high school students taught with generative AI-supported instruction scored significantly higher on geometric reasoning and proof construction than students taught conventionally — related
- AI-supported PBL students obtain significantly higher posttest computational thinking scores than traditional-lecture students when controlling pretest scores — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
ai-feedback-nearly-doubles-technical-skill-gain-kwara |
title |
STEM students using real-time AI feedback achieved nearly double the mean gain score of students receiving conventional human-led instruction |
description |
STEM students using real-time AI feedback achieved nearly double the mean gain score of students receiving conventional human-led instruction |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
generated |
by process:wiki-ingest on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — nuhu-2026 |
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