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.
Yu Rui2* Fang Xie1 (Tue,) studied this question.
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