Content area

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.

Details

10000387
Psychology indexing term
Business indexing term
Title
Construction and Application of a Data-Mining-Based Multimedia Korean Teaching Database
Author
Shen, Ping 1 ; Shao, Guiwei 1 ; Zhang, Wei 2 

 Hefei University, China 
 Northeastern University, China 
Volume
20
Issue
1
Pages
1-28
Number of pages
29
Publication year
2025
Publication date
2025
Publisher
IGI Global
Place of publication
Hershey
Country of publication
United States
ISSN
1548-1093
e-ISSN
1548-1107
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Milestone dates
2025-01-01 (pubdate)
ProQuest document ID
3234025060
Document URL
https://www.proquest.com/scholarly-journals/construction-application-data-mining-based/docview/3234025060/se-2?accountid=208611
Copyright
© 2025. This work is published under https://creativecommons.org/licenses/by/4.0/ (the "License").  Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-12-15
Database
3 databases
  • Education Research Index
  • ProQuest One Academic
  • ProQuest One Academic