Exploring the Potential of Generative AI Use in Python Game Development Instruction for Adolescents

Key Points

• This research aims to explore the potential of generative AI in enhancing programming achievement and learning satisfaction among adolescents in Python game development classes.
• Comparative design applied with 11 adolescents aged 13-16 years
• Participants experienced teacher-led and AI-assisted conditions in two projects sequentially
• Data collected through surveys, open responses, observations, and prompt logs, analyzed using descriptive statistics and Wilcoxon signed-rank test.
• No statistically significant differences were found in programming achievement and learning satisfaction between conditions
• Positive responses towards AI usefulness were noted (M=4.27–4.45)
• Findings may reflect exploratory trends rather than direct effects due to small sample size and fixed project order.

Abstract