Investigating the Impact of ChatGPT on Preservice Teachers’ Knowledge and Behaviors in Python Programming

• In Event: Learning and Teaching With AI

Abstract

Programming education is crucial for enhancing the quality of education, but the suitability of ChatGPT for programming education remains uncertain due to its unique attributes and potential challenges. To investigate this issue, this study aimed to compare the effects of two learning modes, self-directed programming, and ChatGPT facilitated programming, on pre-service teachers' programming learning. Although the results did not demonstrate a statistically significant difference in programming performance between the two learning modes, students who received support from ChatGPT displayed a higher frequency of code debugging behaviors compared to their counterparts. Furthermore, students identified both advantages and disadvantages of using ChatGPT in programming learning. This study will contribute to the understanding of the effectiveness of ChatGPT for programming education.

Authors

• Dan Sun, Hangzhou Normal University

• Azzeddine Boudouaia, Zhejiang University