Web Based Online Hybrid Teaching Method of Network Music Course

Authors

  • Chunyu Ma Baotou Teachers’ College
  • Raed Abu Zitar

DOI:

https://doi.org/10.3991/ijet.v17i24.35357

Keywords:

Web, Data mining, Hierarchical recommendation algorithm, Genetic algorithm

Abstract


Today, with the rapid development of online course teaching, the demand for online courses is increasing day by day, and the demand for online mixed teaching of online music courses is also increasing rapidly. In the context of big data, the lengthy personalized screening process of users has become one of the problems to be solved. Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. The experimental results show that the average accuracy of the improved algorithm is 79.63% in the limited training times, and has better adaptability. It can be applied to the online hybrid teaching recommendation and screening of online music courses in dynamic changes.

Cover iJET Vol. 17 No. 24 (2022)

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Published

2022-12-20

How to Cite

Ma, C., & Zitar, R. A. . (2022). Web Based Online Hybrid Teaching Method of Network Music Course. International Journal of Emerging Technologies in Learning (iJET), 17(24), pp. 190–207. https://doi.org/10.3991/ijet.v17i24.35357

Issue

Vol. 17 No. 24 (2022)

Section

Papers

License

Copyright (c) 2022 Chunyu Ma, Raed Abu Zitar

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