Application of artificial intelligence in digital media technology education

With the rapid development of artificial intelligence technology and the increasing importance of digital media technology education, it is particularly critical to explore the application of artificial intelligence in this field. The purpose of this study is to evaluate the application effect of artificial intelligence on digital media technology education and conduct a comprehensive analysis through three dimensions: experimental research, questionnaire survey, and model construction and verification. Experimental research results show that AI-assisted pedagogy is superior to traditional methods in improving academic achievement and engagement. The results of the questionnaire reflect the positive attitude of educators, students, and industry experts towards the application of AI, and the personalized learning recommendation and learning outcome prediction models constructed perform well in accuracy and F1 scores. Although challenges such as technology integration, data privacy, student engagement, and resource costs are encountered during implementation, these challenges can be effectively overcome with sound strategies and innovative approaches. The findings of this study not only confirm the application potential of AI in the field of education but also provide valuable insights and directions for the future development of educational technology.

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Publication Details

Journal
Journal of Computational Methods in Sciences and Engineering
Published
2025-03-19
DOI
https://doi.org/10.1177/14727978251321636
Citations
2
Primary Topic
Educational Technology and Pedagogy
Type
article
Field-Weighted Citation Impact
4.96
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article

Application of artificial intelligence in digital media technology education

Qi Luo, Yaojia Zhu
2 citations
Journal of Computational Methods in Sciences and Engineering
Educational Technology and Pedagogy
4.96
article

Application of artificial intelligence in digital media technology education

Qi Luo, Yaojia Zhu
article en
2 citations

Abstract

With the rapid development of artificial intelligence technology and the increasing importance of digital media technology education, it is particularly critical to explore the application of artificial intelligence in this field. The purpose of this study is to evaluate the application effect of artificial intelligence on digital media technology education and conduct a comprehensive analysis through three dimensions: experimental research, questionnaire survey, and model construction and verification. Experimental research results show that AI-assisted pedagogy is superior to traditional methods in improving academic achievement and engagement. The results of the questionnaire reflect the positive attitude of educators, students, and industry experts towards the application of AI, and the personalized learning recommendation and learning outcome prediction models constructed perform well in accuracy and F1 scores. Although challenges such as technology integration, data privacy, student engagement, and resource costs are encountered during implementation, these challenges can be effectively overcome with sound strategies and innovative approaches. The findings of this study not only confirm the application potential of AI in the field of education but also provide valuable insights and directions for the future development of educational technology.

Journal of Computational Methods in Sciences and EngineeringVol. 25(3)
Changsha University of Science and Technology (CN)
Openalex Percentile: Top 6%
Educational Technology and Pedagogy
4.96
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