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Construction and Application of a Data-Mining-Based Multimedia Korean Teaching Database

Ping Shen, Guiwei Shao and Wei Zhang
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Ping Shen: Hefei University, China
Guiwei Shao: Hefei University, China
Wei Zhang: Northeastern University, China

International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 2025, vol. 20, issue 1, 1-28

Abstract: With the increasing exchanges between China and South Korea in economic and cultural fields, Korean language education has gained significant importance in Chinese universities. Multimedia technology, as an integral part of modern teaching, has transformed traditional teaching methods, offering new opportunities for language education. However, the application of multimedia in Korean teaching still faces challenges. In this study, the authors examine the integration of multimedia technology and task-based teaching methods in Korean reading instruction. By constructing a multimedia teaching database and applying data mining techniques, the authors aim to optimize teaching resources and improve learning efficiency. The findings show that combining multimedia and task-based approaches significantly enhances student engagement and teaching effectiveness, offering a valuable model for future language education research.

Date: 2025
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International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) is currently edited by Mahesh S. Raisinghani

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