A Data Mining-Based Approach to Managing Intercultural Teaching Activities in Online Classrooms

Authors

  • Ru Wang
  • Xin Zhao
  • Fengming Jiao
  • Jiao Song
  • Xinyuan Wu

DOI:

https://doi.org/10.3991/ijet.v18i21.44685

Keywords:

online education, intercultural teaching, data mining, management of teaching activities, cultural differences

Abstract


Driven by globalization and technological advances, online education is coming into its own form, opening a window for students to learn across cultural boundaries. In such a context, the intercultural teaching activities in online classrooms are particularly important, as they provide students with a good opportunity to gain a deeper understanding of different cultures and merge into different backgrounds. However, most of the currently available methods of intercultural teaching activity management focus on conventional education modes or strategies, and there isn’t a deep enough analysis about the features of network environment. Aiming at these matters, this study gave an in-depth discussion on the current status of the management of intercultural teaching in online classrooms, and introduced the technology of data mining to propose a more comprehensive and systematic solution for educational issues caused by cultural differences.

Cover iJET – Vol 18, No 21, 2023

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Published

2023-11-10

How to Cite

Wang, R. ., Zhao, X. ., Jiao, F. ., Song, J. ., & Wu, X. . (2023). A Data Mining-Based Approach to Managing Intercultural Teaching Activities in Online Classrooms. International Journal of Emerging Technologies in Learning (iJET), 18(21), pp. 24–38. https://doi.org/10.3991/ijet.v18i21.44685

Issue

Vol. 18 No. 21 (2023)

Section

Papers

License

Copyright (c) 2023 Nan Zhang (Submitter); Ru Wang, Xin Zhao, Fengming Jiao, Jiao Song, Xinyuan Wu

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