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VOL. 1, ISSUE 2 (2025)
Impact of artificial intelligence tools on student learning outcomes: A quantitative analysis of academic performance and engagement
Authors
Viaan Roy
Abstract
The integration of
artificial intelligence tools in educational settings has generated
considerable debate regarding their effects on student learning outcomes. This
study examines the impact of AI-assisted learning tools on academic
performance, engagement levels, and knowledge retention among undergraduate
students. A quasi-experimental design was employed with 240 undergraduate
students across multiple disciplines at a mid-sized university over one
academic semester. Participants were divided into experimental groups using AI
tools (n=120) and control groups using traditional learning methods (n=120).
Data collection involved pre- and post-tests, engagement metrics, and
self-reported learning satisfaction surveys. Results indicated that students
utilizing AI tools demonstrated significantly higher post-test scores (M=78.4,
SD=8.2) compared to the control group (M=71.6, SD=9.1), t(238)=6.12,
p<0.001. Additionally, engagement metrics showed a 34% increase in study
time and a 28% improvement in assignment completion rates among AI tool users.
However, knowledge retention after a six-week interval showed no significant
difference between groups (p=0.142). These findings suggest that while AI tools
enhance immediate academic performance and engagement, their long-term efficacy
for knowledge retention requires further investigation. The study contributes
to understanding optimal AI integration strategies in higher education and
provides empirical evidence for educational policy development.
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Pages:1-4
How to cite this article:
Viaan Roy "Impact of artificial intelligence tools on student learning outcomes: A quantitative analysis of academic performance and engagement". World Journal of Advanced Science, Vol 1, Issue 2, 2025, Pages 1-4
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