Application Practice and Teaching Value of NotebookLM in International Chinese Reading Instruction

Abstract

The continuous deepening of the integration of artificial intelligence and education has created new opportunities for the reform of international Chinese education models. Reading instruction is a key link in international Chinese language acquisition, and there are still many practical problems in current teaching practice: learners' language proficiency levels are significantly differentiated, it is difficult to achieve hierarchical adaptation of reading texts, the interpretation of cultural connotations in texts remains insufficient, and teachers’ energy is limited, making it difficult to carry out refined personalized teaching. This article takes NotebookLM intelligent tool as the research object, and adopts a combination of literature review and teaching practice induction. Based on the inherent functions of the tool and the actual teaching situation in the industry, it explores its application path throughout the entire process of pre-class preparation, classroom implementation, and post-class consolidation in reading teaching. This tool relies on large language model technology and has practical functions such as document parsing, content organization, multilingual annotation, and source tracing. It can adapt to the learning needs of learners at different levels, effectively reduce the cost of text processing and teaching design for teachers, help students improve their text reading ability and cross-cultural cognitive literacy, fill the existing gaps in traditional reading teaching, and provide feasible practical references for the digital transformation of international Chinese education.