The impact of AI-assisted pair programming on student motivation, programming anxiety, collaborative learning, and programming performance: a comparative study with traditional pair programming and individual approaches

The impact of AI-assisted pair programming on student motivation, programming anxiety, collaborative learning, and programming performance: a comparative study with traditional pair programming and individual approaches

Abstract Purpose This study investigates the impact of AI-assisted pair programming on undergraduate students’ intrinsic motivation, programming anxiety, and performance, relative to both human–human pair programming and individual programming approaches. Methods A quasi-experimental design was cond...

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Bibliographic Details
Main Authors: Guangrui Fan, Dandan Liu, Rui Zhang, Lihu Pan
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:International Journal of STEM Education
Subjects:
AI-assisted pair programming
Intrinsic motivation
Programming anxiety
Collaborative learning
Programming performance
Online Access:https://doi.org/10.1186/s40594-025-00537-3
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https://doi.org/10.1186/s40594-025-00537-3

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