Exploring Chinese Learners' Chinese Learning Strategies in the Context of "Artificial Intelligence + Education". --Based on an embodied cognition theory perspective
Year: 2025
Type: article
Abstract: The 2024 government work report clearly emphasizes the necessity of advancing research and development in big data, artificial intelligence, and related applications. It advocates for the implementation of the "Artificial Intelligence +" initiative, which establishes a clear direction for the development of "Artificial Intelligence + Education" and provides the necessary policy support. This paper focuses on the development of international Chinese language education in this context, analyzing in depth how AI technology can address the practical challenges faced in this field and exploring the potential for integrating artificial intelligence with international Chinese language education. Furthermore, it proposes specific strategies to enhance Chinese language learning among students, aiming to improve both the efficiency and effectiveness of the learning process. By offering new perspectives and ideas, this paper seeks to contribute to the advancement of Chinese language education.
Authors: Keyi Lin, Xiaoman Zhang, Wenjun Guo, Zhilin Wu
Institution: Wuhan University of Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4409238988