From Interaction to Collaboration: Reforming Audiovisual Communication Education in the Era of AIGC

In the context of the digital intelligence era, talent cultivation in audiovisual communication faces higher requirements. Based on field investigations in universities and teaching experiments, this study constructs a reform path for audiovisual communication courses oriented toward interaction and collaboration. The course incorporates AIGC tools and intelligent media resources to build a human-machine collaborative teaching model consisting of teacher instruction, AI assistance, and student co-creation. Through questionnaire surveys and quantitative analysis, the study finds that the intervention of AIGC significantly enhances the quality of teacher-student interaction, and the degree of human-machine collaboration significantly predicts students learning outcomes and innovative performance. Based on these findings, the study proposes innovative reform paths for audiovisual communication courses, including optimizing teaching structures, strengthening practical tasks, and establishing a diversified evaluation mechanism. These results provide experience and references for cultivating compound journalism and communication talents who possess academic theories, technical skills, and innovative thinking.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-20
DOI
https://doi.org/10.5281/zenodo.18310168
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00
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article

From Interaction to Collaboration: Reforming Audiovisual Communication Education in the Era of AIGC

Yu Rui2* Fang Xie1
Zenodo (CERN European Organization for Nuclear Research)
Digital Media and Visual Art
article

From Interaction to Collaboration: Reforming Audiovisual Communication Education in the Era of AIGC

Yu Rui2* Fang Xie1
article en

Abstract

In the context of the digital intelligence era, talent cultivation in audiovisual communication faces higher requirements. Based on field investigations in universities and teaching experiments, this study constructs a reform path for audiovisual communication courses oriented toward interaction and collaboration. The course incorporates AIGC tools and intelligent media resources to build a human-machine collaborative teaching model consisting of teacher instruction, AI assistance, and student co-creation. Through questionnaire surveys and quantitative analysis, the study finds that the intervention of AIGC significantly enhances the quality of teacher-student interaction, and the degree of human-machine collaboration significantly predicts students learning outcomes and innovative performance. Based on these findings, the study proposes innovative reform paths for audiovisual communication courses, including optimizing teaching structures, strengthening practical tasks, and establishing a diversified evaluation mechanism. These results provide experience and references for cultivating compound journalism and communication talents who possess academic theories, technical skills, and innovative thinking.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 85%
Digital Media and Visual Art
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