AI-augmented practical instruction versus conventional human-led instruction¶
Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 causal),q2· 0 of 1 report an effect size · 1 claim rests on one study
Description¶
The study's instructional arrangement contrasts two lesson-level designs for practical STEM teaching: an AI-augmented format in which students work with a real-time AI tutor providing synchronous correction, and a conventional format of human-led instruction. The article reports that "The experimental group utilized the Kwara-STEM AI Tutor, while the control group received conventional human-led instruction" in a pre-test/post-test control group design across three institutions.
Design Implications¶
Context¶
Requirements¶
- Requires an AI feedback tool capable of real-time diagnosis and correction of practical work
Constraints¶
- Evaluated in Kwara State colleges of education with 240 students; the article does not claim generalization beyond this setting
Target Learners¶
- Pre-service STEM students in colleges of education
Learning Goals¶
- Technical skill acquisition in laboratory and practical tasks
Claims¶
Related Designs¶
Examples¶
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Key Sources¶
- 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
Page metadata
| Field | Value |
|---|---|
type |
design |
id |
ai-augmented-versus-human-led-practical-instruction |
title |
AI-augmented practical instruction versus conventional human-led instruction |
description |
The study's instructional arrangement contrasts two lesson-level designs for practical STEM teaching: an AI-augmented format in which students work with a real-time AI tutor providing synchronous correction, and a con... |
status |
review |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — nuhu-2026 |
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