Title: A data mining-based approach to integrating multimedia English teaching resources

Authors: Ran Li

Addresses: Department of Foreign English, Xingtai University, Xingtai, 054001, China

Abstract: With the rapid development and popularisation of information technology, great changes have taken place in the field of education. Multimedia technology has gradually become an important means of English teaching. However, the integration of multimedia English teaching resources needs to be improved. Therefore, the D-K-means algorithm is formed by adding the splitting and aggregation operations to the clustering process of K-means algorithm to cluster the teaching resource data, and the apriori algorithm is used to find the valuable association rules in the data. Finally, the simulation experiment is carried out. The results show that the objective function value of the final solution of D-K-means algorithm is 108.64, which has stronger search ability. After combining with apriori algorithm, the accuracy of data mining can reach about 96%. In practical application, the teaching resources after the integration of this method have significantly improved students' English abilities, which show that this method can effectively tap and integrate English teaching resources, and provides a realisable path to improve the quality of English teaching.

Keywords: data mining; K-means; English language teaching resources; association rules; apriori.

DOI: 10.1504/IJCSYSE.2024.137433

International Journal of Computational Systems Engineering, 2024 Vol.8 No.1/2, pp.1 - 9

Received: 19 Sep 2022
Accepted: 11 Nov 2022
Published online: 19 Mar 2024 *

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