Research on Course Clustering Based on Semantic
Pages 30 - 34
Abstract
The course is the basic unit that constitutes a specialty in the higher education process. Reasonable course setting is the core issue of training scheme of specialty. The current professional talent cultivation has unreasonable course settings of specialty, such as repetition of knowledge points and unreasonable sequence of course opening and other issue. In response to the above question, we propose a course group clustering method that merges online and offline resource knowledge graph, which first collects online and offline resource of the course for integration and establishes knowledge graph based on knowledge points. Effective clustering of course based on knowledge to produce reasonable course group and effectively solve the problem of unreasonable course settings. The results show that the course group clustering method, which merges online and offline resource knowledge graph is effective in course clustering.
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Index Terms
- Research on Course Clustering Based on Semantic
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Published In
May 2022
93 pages
ISBN:9781450396424
DOI:10.1145/3545822
Copyright © 2022 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 October 2022
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- Research-article
- Research
- Refereed limited
Funding Sources
- This work is supported by the Natural Science Foundation of Anhui Provincial Education Department
Conference
ICMSSP 2022
ICMSSP 2022: 2022 7th International Conference on Multimedia Systems and Signal Processing
May 27 - 29, 2022
Shenzhen, China
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