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.

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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

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article

Innovative design of blended teaching for Artificial Intelligence course

Dong Zhao, Dan Zhang, Jing Li, Xiujuan Ma
Hydraulic and Pneumatic Systems
article

Innovative design of blended teaching for Artificial Intelligence course

Dong Zhao, Dan Zhang, Jing Li, Xiujuan Ma
article en

Abstract

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.

Qinghai Normal University (CN)
Qinghai Normal University
Openalex Percentile: Top 80%
Hydraulic and Pneumatic Systems
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