A Study on Instructional Design and Application of Information Technology Courses Based on Generative Artificial Intelligence
This study addresses the problem of insufficient learning motivation caused by students’ passive learning in the traditional information technology classroom, constructs a teaching model based on generative artificial intelligence, and carries out an empirical study using the high school information technology course of a middle school in China as a scenario, selects 144 students in two classes in a middle school in China as the research subjects, and is guided by the constructivist learning theory, the theory of multiple intelligences and the theory of generative learning, and integrally methods such as literature study, questionnaire survey, and quasi-experimental study were utilized to explore. The results show that students’ learning motivation and satisfaction are significantly improved after using the teaching model based on generative AI. In addition, this study puts forward some teaching suggestions for the IT teaching mode based on generative AI, which enriches the connotation of the teaching mode of the IT course and provides middle school IT teachers with a concrete and operable pedagogical path in teaching.
Authors
- Hairu Yang (ORCID: https://orcid.org/0009-0003-4611-8418)
- Jun Li (ORCID: https://orcid.org/0000-0003-1613-9448)
- Chen Jiang (ORCID: https://orcid.org/0009-0003-7616-8926)
- Zhou Liang
- Xiaoyu Zhang (ORCID: https://orcid.org/0000-0002-3671-123X)
- Qianchen Xiang
Institutions
- China West Normal University (CN)
- Central Chest Institute of Thailand (TH)
Publication Details
- Published
- 2025-04-26
- DOI
- https://doi.org/10.1109/ic4e65071.2025.11075458
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 0.00