AI-Assisted Strategies for Improving Chinese Proficiency in Non-Native AP Exam Takers
Year: 2025
Type: article
Abstract: This paper explores the role of AI-assisted strategies in enhancing Chinese language proficiency for non-native students preparing for the AP Chinese exam. By analyzing the key requirements of the AP Chinese exam, the study identifies how AI tools, such as Speechling, FluentU, and HelloChinese, can support students in improving their listening, speaking, reading, and writing skills. The paper also addresses the ethical and social implications of AI in education, focusing on data privacy, algorithmic bias, and educational equity. Key strategies for optimizing AI in language learning are discussed, alongside a comparison of different AI tools in AP exam preparation. The study emphasizes the need for a balanced approach to AI implementation in education, considering both the technological advantages and the ethical challenges. Future research directions are outlined to further explore the long-term impact and integration of AI in educational contexts.
Author: Zengxian Mo
Institution: San Francisco State University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4408135072