"Empowering Smart Teaching with AIGC in the Ïntegration of Specialization and Innovation\": An Exploration and Practice"

With the rapid development of Artificial Intelligence Generated Content (AIGC) technology and computer science innovations, its application in education is being explored. This paper examines and experiments with the innovative use of Artificial Intelligence Generated Content (AIGC) in a ‘specialized and integrated’ educational and teaching model, assessing its impact on pedagogical innovation, improving student creativity, and optimizing educational resources. Using computer technologies such as machine learning, data analytics, and natural language processing, AIGC can dynamically generate tailored instructional content and interactive learning experiences. While reviewing the implementation approaches and insights of AIGC-driven teaching and learning, we propose a viable educational framework that combines AIGC and computing technologies to enhance the intelligence, personalization, and flexibility of the teaching and learning process. This approach aims to provide scientific and practical guidance for engineering education reform in the context of emerging digital technologies.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1145/3722237.3722297
Citations
1
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
0.78
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article

"Empowering Smart Teaching with AIGC in the Ïntegration of Specialization and Innovation\": An Exploration and Practice"

Bi Wang, Yu Wang
1 citations
Educational Technology and Assessment
0.78
article

"Empowering Smart Teaching with AIGC in the Ïntegration of Specialization and Innovation\": An Exploration and Practice"

Bi Wang, Yu Wang
article en
1 citations

Abstract

With the rapid development of Artificial Intelligence Generated Content (AIGC) technology and computer science innovations, its application in education is being explored. This paper examines and experiments with the innovative use of Artificial Intelligence Generated Content (AIGC) in a ‘specialized and integrated’ educational and teaching model, assessing its impact on pedagogical innovation, improving student creativity, and optimizing educational resources. Using computer technologies such as machine learning, data analytics, and natural language processing, AIGC can dynamically generate tailored instructional content and interactive learning experiences. While reviewing the implementation approaches and insights of AIGC-driven teaching and learning, we propose a viable educational framework that combines AIGC and computing technologies to enhance the intelligence, personalization, and flexibility of the teaching and learning process. This approach aims to provide scientific and practical guidance for engineering education reform in the context of emerging digital technologies.

Guiyang Medical University (CN), Zhengzhou University (CN), Zhengzhou Business University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Educational Technology and Assessment
0.78
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