ChatGPT as a Programming Tutor: Student Perceptions, Effectiveness, and Challenges

This research examines the impact of ChatGPT on computer science education, focusing on its application in learning programming languages like SQL, C++, Python, and C#. Through a survey of 149 university students, the study identifies both the advantages and challenges of using ChatGPT as a virtual lab assistant. The results show that ChatGPT offers considerable assistance to students, especially in providing prompt feedback, facilitating debugging, and clarifying complex programming concepts. However, the research also points out significant challenges, including the potential for over-reliance on AI tools and worries about the accuracy of the responses generated by AI. Several students reported experiencing misleading or incomplete information from ChatGPT, indicating a need for enhancements in its accuracy and dependability. To address these challenges, the study proposes a transition from assignments focused on theory to personalized, project-based activities that foster independent problem-solving. In summary, this research sheds light on the advantages and obstacles of incorporating ChatGPT into computer science courses. Although ChatGPT provides beneficial support for learning, its function should be supplementary rather than central to programming education. The results highlight the necessity of thoughtful integration, promoting self-directed learning while utilizing AI's capabilities to foster engagement and offer immediate assistance.

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Publication Details

Published
2025-04-22
DOI
https://doi.org/10.1109/educon62633.2025.11016463
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

ChatGPT as a Programming Tutor: Student Perceptions, Effectiveness, and Challenges

Jennifer Jin, Zicheng Yu, Yunfei Hou, Vishwa Bhatt
Artificial Intelligence in Healthcare and Education
article

ChatGPT as a Programming Tutor: Student Perceptions, Effectiveness, and Challenges

Jennifer Jin, Zicheng Yu, Yunfei Hou, Vishwa Bhatt
article en

Abstract

This research examines the impact of ChatGPT on computer science education, focusing on its application in learning programming languages like SQL, C++, Python, and C#. Through a survey of 149 university students, the study identifies both the advantages and challenges of using ChatGPT as a virtual lab assistant. The results show that ChatGPT offers considerable assistance to students, especially in providing prompt feedback, facilitating debugging, and clarifying complex programming concepts. However, the research also points out significant challenges, including the potential for over-reliance on AI tools and worries about the accuracy of the responses generated by AI. Several students reported experiencing misleading or incomplete information from ChatGPT, indicating a need for enhancements in its accuracy and dependability. To address these challenges, the study proposes a transition from assignments focused on theory to personalized, project-based activities that foster independent problem-solving. In summary, this research sheds light on the advantages and obstacles of incorporating ChatGPT into computer science courses. Although ChatGPT provides beneficial support for learning, its function should be supplementary rather than central to programming education. The results highlight the necessity of thoughtful integration, promoting self-directed learning while utilizing AI's capabilities to foster engagement and offer immediate assistance.

University of Toronto (CA), California State University, San Bernardino (US)
National Science Foundation
Quality Education
Openalex Percentile: Top 92%
Artificial Intelligence in Healthcare and Education
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ChatGPT as a Programming Tutor: Student Perceptions, Effectiveness, and Challenges — Jennifer Jin, Zicheng Yu, et al. · (2025) | TGRS Research Map | TGRS