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Design and Application of Teaching Platform for Foreign Students’ Characteristic Culture Course Based on Data Mining Technology

  • Yan Xu,
  • Hui Yuan

摘要

This course aims to introduce the characteristics and culture of Chinese students. This course will help foreign students understand their own culture, which is a good reference for their study in China. Data mining technology is used to collect data from three sources: (1) questionnaire; (2) Observation and analysis; (3) Interview teachers of foreign students. SPSS software is used to analyze the collected data, and then TF-IDF algorithm is used to establish the model. The platform utilizes data mining technology to analyze and mine the learning data of cultural courses for international students. By studying the learning characteristics and needs of international students, we provide them with personalized teaching services and learning resources. The platform not only digitizes traditional offline teaching resources, but also integrates interactive methods such as socializing, Q&A, and resource exchange into its course platform, achieving online and offline communication, comprehensively meeting the teaching needs of international students’ characteristic cultural courses. Practice has proven that this platform can effectively enhance the learning initiative and enthusiasm of international students, and enhance their understanding and cognitive level of Chinese culture.