Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)

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Enhancing Computational Thinking in Programming Learning with Generative Artificial Intelligence Tools for college students

Authors
Chengzheng Li1, Yongfeng Diao2, Yi Ding3, *
1China West Normal University, Educational and information technology center, Nangchong, 637000, China
2China West Normal University, School of education, Nangchong, 637000, China
3China West Normal University, Admissions and employment office, Nangchong, 637000, China
*Corresponding author. Email: ding4520@163.com
Corresponding Author
Yi Ding
Available Online 31 July 2025.
DOI
10.2991/978-94-6463-803-5_13How to use a DOI?
Keywords
artificial intelligence generated content; programming education; computational thinking; educational applications
Abstract

The era of numerical intelligence has put forward higher requirements on the computational thinking of college students, and the lack of computational thinking is still common among college students at present. In an investigation to find methods and measures to cultivate college students’ computational thinking that are widely applicable and effective, the study investigated the effect of artificial intelligence generated content tools in programming education to enhance college students’ computational thinking through a 13-week quasi-experimental study. The results of the study show that (1) conventional programming education activities do not significantly enhance college students’ computational thinking; (2) artificial intelligence generated content tools in programming education activities significantly enhance college students’ computational thinking; and (3) uncontrolled use of artificial intelligence generated content tools is not conducive to the enhancement of learners’ academic performance. On this basis, strategies and suggestions are proposed for better utilization of generative artificial intelligence generated content tools to enhance college students’ computational thinking ability and academic performance in programming learning.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
31 July 2025
ISBN
978-94-6463-803-5
ISSN
2667-128X
DOI
10.2991/978-94-6463-803-5_13How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Chengzheng Li
AU  - Yongfeng Diao
AU  - Yi Ding
PY  - 2025
DA  - 2025/07/31
TI  - Enhancing Computational Thinking in Programming Learning with Generative Artificial Intelligence Tools for college students
BT  - Proceedings of the 5th International Conference on Internet, Education and Information Technology (IEIT 2025)
PB  - Atlantis Press
SP  - 128
EP  - 140
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-803-5_13
DO  - 10.2991/978-94-6463-803-5_13
ID  - Li2025
ER  -