From “Add-on” to “Integration”: Ecological Pathways for Aesthetic Education Embedded in Vocational Skills Training
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Abstract
New technological avenues for the coordinated development of vocational skills and aesthetic literacy in vocational education are emerging thanks to the advent of artificial intelligence, knowledge graph and multimodal learning analytics. A digital ecosystem model for skill-oriented aesthetic education was built to solve the problems of add-on aesthetic education content, coarse-grained resource matching and delayed evaluation feedback of traditional aesthetic education skills training. There are four components in the model: professional skill–aesthetic element knowledge graph, multimodal feature fusion of students' works, profiling of aesthetic competence and dynamic optimization mechanism of learning path. Based on this, a collaborative teaching platform for multi-stakeholders was designed, which could be used for resource management, work assessment, individualized recommendation and virtual simulation experience. Experimental results demonstrate that the proposed method obtained 91.4% task completion rate, 92.1% operational accuracy, 88.3 work quality score and 0.801 NDCG@5, which is better than the traditional teaching methods and single-recommendation methods. In the experimental group the aesthetic literacy, and vocational competence scores were 82.7 and 84.9. These results prove that, based on data, the ecological construction can facilitate the coordinated development of vocational skills, aesthetic literacy and professional competence, which is a practical way to turn the “add-on” of aesthetic education from skills into an “integrated” one.
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