Exploration of Course Practice on the Integration of AI Language Model and Ideological and Political Education : The Course of "Software Testing" as an Example

With the rapid development of information technology, artificial intelligence technology, and digital technology, cutting-edge technologies such as big data, intelligent algorithms, cloud computing, the Internet of Things, and blockchain are gradually penetrating into the field of education, promoting the modernization and digitization of education. In this context, software testing courses, as important courses in computer science and technology and software engineering majors, are facing new challenges and opportunities. In response to the mismatch between the curriculum teaching system and the new demands of the artificial intelligence era, it is proposed to focus on artificial intelligence technology, optimize the curriculum system from multiple dimensions, introduce AI language models to drive teaching, and pay attention to the deep integration of ideological and political education in the curriculum. This article demonstrates how to integrate ideological and political elements into software testing courses through specific cases. Practice has proven that AI driven courses can better stimulate students' interest in learning, help improve their ideological level, technical ability, and industry competitiveness.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/icise-ie64355.2024.11025195
Primary Topic
Educational Reforms and Innovations
Type
article
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article

Exploration of Course Practice on the Integration of AI Language Model and Ideological and Political Education : The Course of "Software Testing" as an Example

Jiang Yan, Chang Liu, Dongxia Zheng
Educational Reforms and Innovations
article

Exploration of Course Practice on the Integration of AI Language Model and Ideological and Political Education : The Course of "Software Testing" as an Example

Jiang Yan, Chang Liu, Dongxia Zheng
article en

Abstract

With the rapid development of information technology, artificial intelligence technology, and digital technology, cutting-edge technologies such as big data, intelligent algorithms, cloud computing, the Internet of Things, and blockchain are gradually penetrating into the field of education, promoting the modernization and digitization of education. In this context, software testing courses, as important courses in computer science and technology and software engineering majors, are facing new challenges and opportunities. In response to the mismatch between the curriculum teaching system and the new demands of the artificial intelligence era, it is proposed to focus on artificial intelligence technology, optimize the curriculum system from multiple dimensions, introduce AI language models to drive teaching, and pay attention to the deep integration of ideological and political education in the curriculum. This article demonstrates how to integrate ideological and political elements into software testing courses through specific cases. Practice has proven that AI driven courses can better stimulate students' interest in learning, help improve their ideological level, technical ability, and industry competitiveness.

Dalian Neusoft University of Information (CN)
Quality Education
Openalex Percentile: Top 62%
Educational Reforms and Innovations
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