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Publication Date
Fri May 15 2026
Journal Name
International Journal Of Engineering Pedagogy (ijep)
Volume
16
Issue Number
3
DOI
10.3991/ijep.v16i3.61055
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Articles
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Generative AI Effects on Academic Achievement and Sustainable Professional Development
Academic achievement
sustainable professional development
GenAI
AI-enhanced education
integrated learning strategies
comparative study
science education
chemistry
applied mathematics.
Najwa Abdulmunem Jasim Alnoori
Wasan Qasim Neamah
Ban Hassan Majeed
Wisal Hashim Abdulsalam
Zainab Aziz Ahmed Alamiry
Ilham Jabbar Faris Faris
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This quasi-experimental study investigated generative AI (GenAI) tools—Copilot for chemistry and GitHub Copilot for mathematics—on academic achievement and sustainable professional development among 160 undergraduates (40 experimental/control per department) at the University of Baghdad’s Ibn Al-Haitham College of Education for Pure Sciences (2024–2025). Non-random assignment controlled for covariates. Pre/post validated tests (α ≥ .85; 15 MCQ + 5 essay items) measured outcomes. ANOVA revealed significant gains for experimental groups (p < .001, η2 = .41, Cohen’s d = 0.72 [95% CI: 0.45–0.98]). Chemistry excelled in affective domains; mathematics in cognitive/skills. Findings affirm GenAI’s domain-specific efficacy, providing datasets for AI-STEM pedagogy.

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