Identifying Opportunities and Challenges in the Application of Natural Language Processing in Teaching and Learning Chinese for University Students: The Case of Viettel AI Platform in Vietnam

Abstract

This study aims to identify the opportunities and challenges in applying Natural Language Processing (NLP) to teach and learn Chinese among university students, focusing on the case of the Viettel AI Platform in Vietnam. The research method primarily involves analyzing relevant literature and reports to evaluate the effectiveness and difficulties encountered in implementing NLP technology in education. By synthesizing existing studies and data from Viettel AI, this study provides a comprehensive overview of how NLP can enhance the learning experience, improve teaching methodologies, and support personalized education. The findings reveal significant opportunities, such as automated assessment, customized learning recommendations, and interactive learning tools, which can benefit students and educators significantly. However, challenges such as technical complexities, the need for substantial training for teachers and students, and the requirement for robust infrastructure are also highlighted. The study concludes with recommendations for optimizing NLP applications in educational contexts and suggests further directions for future research to advance the integration of NLP in language education.