Innovative design of blended teaching for Artificial Intelligence course
The rapid development of artificial intelligence technology has put forward higher requirements for the teaching mode of Artificial Intelligence course in universities. This paper first analyzes the pain points existing in the teaching of Artificial Intelligence course, and then puts forward innovative measures of blended teaching. With project-driven learning (PBL) as the core, teaching resources are optimized with the help of intelligent tools such as large language models, and regional characteristic cases are introduced to realize the integration of knowledge transfer and ideological and political education guidance. Through teaching practice and effect evaluation, the effectiveness of this innovative model in improving teaching quality, enhancing students’ practical ability and innovation consciousness is verified. This study provides a reference for the teaching reform of artificial intelligence curriculum, which is helpful to promote the sustainable development of artificial intelligence education.
Authors
- Dong Zhao (ORCID: https://orcid.org/0000-0003-2439-6815)
- Dan Zhang (ORCID: https://orcid.org/0000-0001-5676-0656)
- Jing Li (ORCID: https://orcid.org/0000-0003-3698-7102)
- Xiujuan Ma (ORCID: https://orcid.org/0000-0001-9383-1070)
Institutions
- Qinghai Normal University (CN)
Publication Details
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1109/cste64638.2025.11092165
- Primary Topic
- Hydraulic and Pneumatic Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Qinghai Normal University