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Shangchao Min

As seen in: SAGE Publishing, Taylor & Francis Online
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Articles

LLM-Driven Spoken Dialogue Systems in Language Assessment: Where We Stand and Where We are Headed

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By Lianzhen He, Shangchao Min, Min Wang
| SAGE Publishing
Introduction Developing and Validating SDSs in L2 Speaking Assessment Factors Affecting Test-Taker Performance in SDS-Mediated Assessments Authenticity of the Interlocutor Language in SDSs Pros and Cons of Using SDSs in Speaking Assessment Future Directions for SDSs in Language Assessment Disclosure of the use of artificial intelligence (AI) ORCID iDs References PDF/EPUB More Cite Share options Information, rights and permissions Metrics and citations Figures and tables Introduction Spoken...
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Human or Machine? Evaluating Second Language Speaking Performance in Paired Discussions with a Large Language Model-Driven Spoken Dialogue System vs. a Human Interlocutor

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By Shangchao Min, Zhuohan Hou, Yanxin Wang
| SAGE Publishing
Abstract References Get access More Cite Share options Information, rights and permissions Metrics and citations Abstract The use of large language models (LLMs) in language assessment, particularly in spoken dialogue systems (SDSs) for assessing speaking, remains at an early stage. This study explored the use of an LLM-driven SDS to assess second language speaking ability.
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Informing Q-Matrix Specification with Exploratory Factor Analysis in Cognitive Diagnostic Assessment of Language Comprehension

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By Shangchao Min, Hongwen Cai
| Taylor & Francis Online
Advanced search Language Assessment Quarterly Latest Articles Submit an article Journal homepage Full Article Figures & data References Citations Metrics Reprints & Permissions Read this article /doi/full/10.1080/15434303.2025.2536838?needAccess=true ABSTRACT This paper advocates the use of exploratory factor analysis (EFA) for Q-matrix specification in cognitive diagnostic assessment (CDA) of language comprehension.
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