Exploration of the Application of Generative Artificial Intelligence in Practical Operation Courses in Colleges and Universities—Taking ‘Image Processing Technology’ as an Example

With the rapid advancement of Artificial Intelligence Generated Content (AIGC) technology, its potential applications in education are becoming increasingly broad. Currently, practical operation courses in higher education institutions face various issues such as low classroom interaction, uneven student development, lack of resources, and imperfect evaluation systems. AIGC technology, with its unique advantages, has brought new hope for addressing these challenges. This paper explores the feasibility of applying AIGC technology in practical operation courses in higher education institutions, based on the existing problems in teaching. It proposes a " Teacher-Student-AIGC " teaching strategy that integrates AIGC for these courses. Taking the course "Image Processing Technology" as an example, the paper specifically demonstrates the innovative application and implementation strategy of AIGC technology in practical operation teaching. The aim is to provide a practical reference plan for the teaching reform of practical courses in higher education institutions.

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Published
2025-05-23
DOI
https://doi.org/10.1109/icett66247.2025.11137106
Primary Topic
Medical Research and Treatments
Type
article
Field-Weighted Citation Impact
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article

Exploration of the Application of Generative Artificial Intelligence in Practical Operation Courses in Colleges and Universities—Taking ‘Image Processing Technology’ as an Example

Ruoqi Pan, Liting Chen, Shiming Ma, Manjia Li
Medical Research and Treatments
article

Exploration of the Application of Generative Artificial Intelligence in Practical Operation Courses in Colleges and Universities—Taking ‘Image Processing Technology’ as an Example

Ruoqi Pan, Liting Chen, Shiming Ma, Manjia Li
article en

Abstract

With the rapid advancement of Artificial Intelligence Generated Content (AIGC) technology, its potential applications in education are becoming increasingly broad. Currently, practical operation courses in higher education institutions face various issues such as low classroom interaction, uneven student development, lack of resources, and imperfect evaluation systems. AIGC technology, with its unique advantages, has brought new hope for addressing these challenges. This paper explores the feasibility of applying AIGC technology in practical operation courses in higher education institutions, based on the existing problems in teaching. It proposes a " Teacher-Student-AIGC " teaching strategy that integrates AIGC for these courses. Taking the course "Image Processing Technology" as an example, the paper specifically demonstrates the innovative application and implementation strategy of AIGC technology in practical operation teaching. The aim is to provide a practical reference plan for the teaching reform of practical courses in higher education institutions.

Nanning Normal University (CN)
Openalex Percentile: Top 64%
Medical Research and Treatments
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Exploration of the Application of Generative Artificial Intelligence in Practical Operation Courses in Colleges and Universities—Taking ‘Image Processing Technology’ as an Example — Ruoqi Pan, Liting Chen, et al. · (2025) | TGRS Research Map | TGRS