Topic Mining and Decision-making Model for Practice Course based on Clustering Algorithm
This paper constructs the topic mining and decision-making model for practice courses based on k-center clustering algorithm. The model includes three modules: "Practice course discussion topic clustering model based on k-center clustering algorithm", "Student interest space field strength model based on discussion topic clustering", and "Decision model for practice course implementation method based on student interest space field strength". It scientifically quantifies the clustering of practical discussion topics, realizes knowledge mining of student interest tendency, and constructs a decision model for the implementation method of practical courses based on student interest field strength, proposing specific implementation plans. The model has theoretical innovation, research method innovation, and practical innovation, establishing an approach applicable to practice courses and providing an innovative teaching mode.
Authors
- Xiao Zhou (ORCID: https://orcid.org/0000-0003-4493-2785)
- Juan Pan (ORCID: https://orcid.org/0009-0000-0140-3088)
- Rui Li (ORCID: https://orcid.org/0000-0002-8224-7888)
- Taiping Zhao
Institutions
- Leshan Normal University (CN)
- PLA Army Service Academy (CN)
Publication Details
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1109/icise-ie64355.2024.11025495
- Primary Topic
- Educational Technology and Pedagogy
- Type
- article
- Field-Weighted Citation Impact
- 0.00