THE CURRENT STATE OF GENERATIVE AI USE IN PROJECT-BASED LEARNING IN BUSINESS CHINESE EDUCATION AND A PROPOSED ASSESSMENT CRITERIA FRAMEWORK

Thi Ngoc Hien Nguyen1, , Thi Hao Nguyen1, Thi Bich Huong Tran1
1 University of Languages and International Studies, Vietnam National University, Hanoi

Main Article Content

Abstract

With the rapid advancement of Generative Artificial Intelligence (GenAI) in education, the teaching of the Chinese language, particularly Business Chinese, is undergoing profound transformations. This study focuses on students majoring in Chinese Language with an Economic orientation at the University of Languages and International Studies, Vietnam National University, Hanoi (ULIS-VNU). Utilizing the Project-Based Learning (PBL) framework, the research investigates the current application and impact of GenAI on students' project execution. The results from a combined survey and in-depth interview approach indicate that GenAI effectively supports task completion, enhances language proficiency, facilitates access to complex economic concepts, and streamlines business information retrieval. However, the study also identifies several challenges, including excessive AI dependency, limitations in critical thinking and in-depth feedback, a lack of information verification, and issues regarding transparency in AI usage. Based on these findings, the paper proposes the development of a PBL project evaluation framework that integrates AI literacy, critical thinking, and academic integrity requirements, thereby contributing to the refinement of assessment systems in Business Chinese pedagogy within the digital era.

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References

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