Exploring the Empowerment of International Chinese Language Teachers through Large Language Models

Abstract

Generative artificial intelligence, represented by large language models, holds vast application scenarios and significant development potential in the field of language teaching. This study employs large language models such as ChatGPT4o, ERNIE Bot, and Spark Cognition to explore how they empower teachers in international Chinese language teaching through practical cases. It focuses on various aspects of international Chinese language teaching and language skills training, examining the application effects of large language models in generating tailored teaching content and converting textual content into multimodal teaching materials. Finally, the study proposes that teachers should rationally recognize the opportunities and challenges that large language models bring to the teaching ecosystem, while acknowledging the models’ efficiency in empowering teachers’ instruction, it is crucial to fully recognize their essential tool nature, uphold teachers’ subjectivity, and pay close attention to the boundaries of their development and application.