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David James Woo; Hengky Susanto; Chi Ho Yeung; Kai Guo; April Ka Yeng Fung – Language Learning & Technology, 2024
English as a foreign language (EFL) students' use of artificial intelligence (AI) tools that generate human-like text may enhance students' written work. However, the extent to which students use AI-generated text to complete a written composition and how AI-generated text influences the overall writing quality remain uncertain. 23 Hong Kong…
Descriptors: Artificial Intelligence, Writing Instruction, English Language Learners, English (Second Language)
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Lee, Joyce; Wu, Kam Yin; Lee, Eric Ping Chung – THAITESOL Journal, 2022
Syntactic complexity is a crucial aspect of linguistic proficiency and thus understanding and supporting such development in learners is a keen concern for language teachers. Research conducted has shown growing sophistication of noun phrase structures by writers of different abilities in academic writing (Biber & Gray, 2010; Liu & Li,…
Descriptors: Syntax, Writing Skills, Language Proficiency, Technical Writing
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Wang, Wen-Chung; Chen, Hui-Fang; Jin, Kuan-Yu – Educational and Psychological Measurement, 2015
Many scales contain both positively and negatively worded items. Reverse recoding of negatively worded items might not be enough for them to function as positively worded items do. In this study, we commented on the drawbacks of existing approaches to wording effect in mixed-format scales and used bi-factor item response theory (IRT) models to…
Descriptors: Item Response Theory, Test Format, Language Usage, Test Items