Research on AI-Assisted Task-based Teaching Method in the Design of International Chinese Digital Teaching Centered on Verbal Communication
Main Article Content
Keywords
verbal communication, task-based teaching, international standards for Chinese language proficiency in Chinese, AI teaching technology
Abstract
This paper, with reference to the International Standards for Chinese Language Proficiency (2021), and in combination with the definitions of the three evaluation dimensions of verbal communication ability, topic task content and language quantification indicators in the standards, explores the teaching effectiveness and evaluation system of the task-based teaching method oriented by the “verbal communication” evaluation dimension, An analysis of the challenges and operational difficulties faced by task-based teaching methods in teaching practice. While affirming the enhancement of learners' verbal communication skills by the task-based teaching method, this paper proposes task-based teaching solution strategies and operational processes based on AI artificial intelligence and big data analysis technology, that is, the cutting-edge technical methods of applying artificial intelligence to language teaching. Such as natural language processing, automatic speech recognition, machine learning, large language models and computer vision graphs, etc. Typical application scenarios of AI digital instructional design include automatic question answering and chatbots, interlanguage corpus data analysis, Chinese intelligent guidance and Chinese intelligent assessment, etc. It is hoped that this article will provide useful teaching references for international Chinese language educators, promote the effective application of AI-enabled task-based teaching methods in international Chinese language education, and improve teaching quality.
References
- Chen, L. (2023). Information technology classroom based on individual differences. Liberal Arts and Sciences Navigation (Lower Edition), (1), 49-51.
- Guan, K. (2024). Research and application of knowledge tracing model based on attention mechanism [Unpublished master's thesis, Shenyang Aerospace University]. Shenyang.
- Halyna, P. (2019). Investigation on the current situation of Chinese language teaching in Ukrainian universities [Unpublished master's thesis, Qingdao University]. Qingdao.
- Huang, F. (2025). Research on intelligent dialogue systems based on natural language processing. Information and Computer, 37(4), 38-40.
- Li, K. (2025). Research on the application of artificial intelligence technology based on computer vision in intelligent monitoring systems. China Equipment Engineering, (13), 41-43.
- Liang, B. (2011). Research on the dilemmas and countermeasures of task-driven teaching method in secretary training teaching. Journal of Hubei Adult Education College, 17(6), 119-141. https://doi.org/10.16019/j.cnki.cn42-1578/g4.2011.06.045
- Ministry of Education of the People's Republic of China Government. (2021). The person in charge of the center for language education and research of the Ministry of Education answered questions from reporters on the "international Chinese language education Chinese proficiency standards". http://www.moe.gov.cn/jyb_xwfb/s271/202104/t20210402_524194.html
- Peng, Y. (2021). Unexamined tasks are not worth completing: Rational thoughts on the craze for task-based teaching. Chinese Language Construction, (3), 70-72. https://doi.org/10.16412/j.cnki.1001-8476.2021.03.018
- Wang, S., Liang, S., Chen, Z., & Zou, J. (2024). A brief discussion on oral learning of minor languages in virtual teaching settings. Korean Language Teaching and Research, (4), 98-102.
- Wang, X., & Zhou, M. (2025). Foreign language textbook compilation in colleges and universities from the perspective of new quality productivity: Challenges and approaches. Journal of Beijing International Studies University, 47(2), 116-127.
- Wang, Y., & Wang, Z. (2025). Fine-grained sentiment analysis based on text simplification of large language models. Computer Science, (5), 1-11.
- Wu, J. (2023). Research on the application of task-based teaching method in cultural courses of international Chinese language education [Unpublished master's thesis, Chongqing Normal University]. Chongqing.
- Wu, Y., & Wang, L. (2025). Research on the strategies and causes of opinion expression by international Chinese language teachers in cross-cultural communication situations. Journal of Qinghai Minzu University (Social Sciences Edition), 51(2), 157-163.
- Xu, J., & Li, J. (2024). Research prospects of task-based language teaching from the perspective of intelligence. Foreign Language Audio-visual Teaching, (4), 74-78.
- Yang, P. (2025). Big data-driven strategies for evaluating and constructing feedback mechanisms in ideological and political education. Journal of Harbin Institute of Technology, (3), 96-98. https://doi.org/10.16145/j.cnki.cn23-1531/z.2025.03.004
- Zheng, Y. (2021). Research on multimedia and corpus-driven Chinese language teaching. Studies of Teaching Chinese as a Foreign Language, (2), 106.
- Zhou, T. (2017). A brief discussion on the teaching of greetings in Chinese as a foreign language. Knowledge Library, (1), 148.
- Ma,L.(2023).Reflections on the Transformation and Existing Issues in the Cultivation of International Education Talents in Chinese Language [J]. International Public Relations.
Article Sidebar
This work is licensed under a Creative Commons Attribution 4.0 International License.