Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

October 9, 2024


Pages


DOI

Article

Strategies for Informational Integration of Wushu Teaching and Ethnic Traditional Sports Culture

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Authors

Bin Qian Affiliation:
Department of Physical Education, Guangzhou Huashang College, Guangzhou, Guangdong, 511300, China.


Abstract

Chinese Wushu has a long history and is a sports program gradually developed by the Chinese nation in war, which has important values such as fitness, beauty, and heart. Based on the concept of OBE teaching, the article establishes an informatization teaching mode for Wushu in combination with MOOC platforms and describes the implementation steps for Wushu informatization teaching. Then, based on the cognitive theory of multimedia learning, the construction of an online teaching resources development model of national traditional sports culture in MOOC platform, the introduction of the K-means algorithm for student similarity calculation, combined with collaborative filtering recommendation algorithm for personalized recommendation of online teaching resources of national traditional sports culture. It was found that the MAE value of student similarity based on the K-means algorithm was 0.088, which was 32.82% lower than that of the sub-optimal Pearson algorithm. Before and after the experiment, the EC class students had a 15.97-point increase in their theoretical knowledge of wushu, which was 14.8 points higher than that of the CC class. The information integration strategy for Wushu teaching and traditional national sports culture should be based on the growth-oriented (SO) strategy, supplemented by other developmental strategies.


Keywords

Resource recommendation, K-means algorithm, Collaborative filtering, Martial arts instruction, 01A12


Citation

Qian, B. (2024). Strategies for informational integration of wushu teaching and ethnic traditional sports culture. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-2835

Published by: Engineering Journals

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