In recent years, generative artificial intelligence (GenAI) technology has developed rapidly, bringing significant changes to the field of language education. Prof. Zhu Xinhua and his team from the Department of Chinese and Bilingual Studies in the Faculty of Humanities have recently made significant progress in improving language assessment with the support of GenAI, particularly in providing feedback on students’ compositions. These studies have revealed the learning characteristics of students in the GenAI environment, providing empirical evidence for constructing innovative language teaching and assessment approaches. The research findings have been presented at / accepted by multiple prestigious conferences (e.g.,
AERA) and published in top-tier SSCI journals (e.g.,
Assessment & Evaluation in Higher Education). This is also an important effort by the research team in implementing knowledge transfer (KT).
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