Effects of AI-Assisted Instructional Design Reflection on Pre-Service Teachers' Technological Self-Efficacy and Critical Thinking: An Empirical Study
This study aims to explore the impact of AI-assisted instructional design reflection on pre-service teachers' technological self-efficacy (TSE) and critical thinking. The research combined quantitative and qualitative methods and involved an experiment with 51 pre-service teachers from two classes. The results showed that: (1) there was no significant improvement in TSE and critical thinking for high-level students (p = 0.390), while students at the good and developing levels showed significant improvement (p < 0.05); (2) AI's support functions better meet the needs of students at the good and developing levels for complex tasks; (3) high-level students may be more inclined to rely on their existing abilities rather than external support, which could affect their improvement with AI assistance. The findings suggest that AI-assisted instructional design reflection can effectively enhance TSE and critical thinking across different levels of students, with particularly significant benefits for lower-level students.
Authors
- Qu Kun (ORCID: https://orcid.org/0009-0009-0709-6395)
- Ziyu Zhao (ORCID: https://orcid.org/0000-0001-8321-1193)
- Xiaoyan Zhong (ORCID: https://orcid.org/0000-0002-3029-0569)
- Maoran Ye
Institutions
- Southwest University (CN)
Publication Details
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1109/icaie64856.2025.11158637
- Primary Topic
- Education and Learning Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00