Exploring the application of AIGC in high school information technology programming instruction—A case study of “Python Programming: Conditional Structures”
Research Article
Open Access
CC BY

Exploring the application of AIGC in high school information technology programming instruction—A case study of “Python Programming: Conditional Structures”

Biling Hu 1* Qingyan Luo 2, Qiongqiong Wang 3
1 Mingli High School, Shenzhen Experimental School
2 Chongwen High School, Shenzhen Experimental School
3 High School Division, The Affiliated High School of Renmin University of China (RDFZ) Shenzhen School
*Corresponding author: 1963643992@qq.com
Published on 3 September 2025
Journal Cover
AEI Vol.16 Issue 8
ISSN (Print): 2977-3911
ISSN (Online): 2977-3903
Download Cover

Abstract

With the rapid development of artificial intelligence, the application of Generative AI (AIGC) in education has gradually become a research focus. This study explores the potential of AIGC in programming instruction within high school information technology classes. Based on an in-depth analysis of AIGC’s advantages and potential limitations in education, we propose an innovative programming-teaching approach that integrates AIGC and pilot its use in real classroom practice. Data analysis indicates that the AIGC-integrated approach can, to some extent, enhance students’ classroom engagement. The findings offer new ideas and methods for high school information technology teaching and provide a reference for future innovation and development of programming-instruction models.

Keywords:

generative artificial intelligence, high school information technology, programming instruction, teaching model

View PDF
Hu,B.;Luo,Q.;Wang,Q. (2025). Exploring the application of AIGC in high school information technology programming instruction—A case study of “Python Programming: Conditional Structures”. Advances in Engineering Innovation,16(8),92-99.

References

[1]. Wu, D., Li, H., & Chen, X. (2023). An analysis of the educational application impacts of general-purpose AI large models.Open Education Research, 29(2), 19–25, 45. https: //doi.org/10.13966/j.cnki.kfjyyj.2023.02.003

[2]. Lu, Y., Yu, J., Chen, P., & Li, M. (2023). Educational applications and prospects of generative AI: A case study of the ChatGPT system.China Distance Education, 43(4), 24–31, 51. https: //doi.org/10.13541/j.cnki.chinade.20230301.001

[3]. Wu, Y. (2023). A preliminary discussion on programming course instructional design in vocational colleges based on AIGC: Taking software technology programming training courses as an example.Frontiers of Educational Research: Chinese and English Edition, 13(3), 7–11.

[4]. Zhang, X., Gao, Y., Cao, S., Tao, J., & He, X. (2024). Exploring the application of AIGC in biochemistry and molecular biology laboratory teaching.Basic Medical Education, 26(5), 406–411. https: //doi.org/10.13754/j.issn2095-1450.2024.05.12

[5]. Li, Y., & Zheng, Y. (2023). Educational applications of generative AI.People’s Forum, (23), 69–72.

[6]. Shang, Z., & Yan, Y. (2023). ChatGPT educational applications and the resulting transformations and ethical challenges.Journal of Northeast Normal University (Philosophy and Social Sciences Edition, (5), 44–54. https: //doi.org/10.16164/j.cnki.22-1062/c.2023.05.006

[7]. Xie, Y., Chen, F., & Zhong, Z. (2015). Research on micro-course design patterns based on problem-solving.China Distance Education, (5), 48–54, 80. https: //doi.org/10.13541/j.cnki.chinade.2015.05.008

[8]. Fredricks, J. A., Wang, M.-T., Linn, J. S., Hofkens, T. L., Sung, H., Parr, A., & Allerton, J. (2016). Using qualitative methods to develop a survey measure of math and science engagement.Learning and Instruction, 43, 5–15.

Cite this article

Hu,B.;Luo,Q.;Wang,Q. (2025). Exploring the application of AIGC in high school information technology programming instruction—A case study of “Python Programming: Conditional Structures”. Advances in Engineering Innovation,16(8),92-99.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Journal: Advances in Engineering Innovation

Volume number: Vol.16
Issue number: Issue 8
ISSN: 2977-3903(Print) / 2977-3911(Online)