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

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.