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
Taiyuan University of Science and Technology · University of Malaya
Abstract
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. A quasi-experimental design was conducted over two academic years (2023–2024) with 234 undergraduate students in a Java web application development course. Intact class sections were randomly assigned to AI-assisted pair programming (using GPT-3.5 Turbo in 2023 and Claude 3 Opus in 2024), human–human pair programming, or individual programming conditions. Data on intrinsic motivation, programming anxiety, collaborative perceptions, and programming performance were collected…
Citation impact
- FWCI
- 116.84
- Percentile
- 100%
- References
- 57
Authors
4- GFGuangrui FanCorresponding
Taiyuan University of Science and Technology
- DLDandan Liu
University of Malaya
- RZRui Zhang
Taiyuan University of Science and Technology
- LPLihu Pan
Taiyuan University of Science and Technology
Topics & keywords
- Anxiety
- Computer science
- Pair programming
- Educational technology
- Mathematics education
- Psychology
- Artificial intelligence
- Programming language