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Huang, Tzu-Hua; Wang, Lun-Zhu – Computer Assisted Language Learning, 2023
TPR (Total Physical Response) is a methodology for teaching foreign languages. In traditional TPR, teachers need to spend a considerable amount of time confirming the accuracy of students' movements, which results in a low-efficiency teaching process and affects the fairness of student learning. A motion sensing system can assess the accuracy of…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, Motion
Chang, You-Hsuan – Computer Assisted Language Learning, 2020
In foreign language learning, computer-mediated dictionaries are among the most popular tools, and ambiguity tolerance (AT) is a key impact factor. However, few studies have focused on the effects of AT on computer-mediated dictionary-assisted English learning. To fill this gap, the current study explored the differences between two groups (a high…
Descriptors: Ambiguity (Semantics), Dictionaries, Second Language Learning, Second Language Instruction
Chen, Chih-Ming; Chen, Liang-Chun; Yang, Shun-Min – Computer Assisted Language Learning, 2019
In recent years, numerous English vocabulary learning-assisted apps have been developed to enlarge learners' English vocabulary through mobile learning. However, the ability of learners to engage in self-regulated learning (SRL) importantly affects performance in autonomously learning English vocabulary using mobile apps. Therefore, this study…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Bakhoda, Iman; Shabani, Karim – Computer Assisted Language Learning, 2019
Computerized dynamic assessment (C-DA) brings the rationality of assessment-instruction integration behind dynamic assessment (DA) into computerized context through the presentation of electronic mediations (Poehner). This study attempts to unravel L2 learners' actual/developed ability and learning potential in a C-DA reading comprehension context…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Assisted Instruction
Hsu, Liwei – Computer Assisted Language Learning, 2016
This study aims to explore the structural relationships among the variables of EFL (English as a foreign language) learners' perceptual learning styles and Technology Acceptance Model (TAM). Three hundred and forty-one (n = 341) EFL learners were invited to join a self-regulated English pronunciation training program through automatic speech…
Descriptors: Pronunciation, Pronunciation Instruction, Cognitive Style, Statistical Analysis
Lee, Cynthia; Yeung, Alexander Seeshing; Ip, Tiffany – Computer Assisted Language Learning, 2016
Computer technology provides spaces and locales for language learning. However, learning style preference and demographic variables may affect the effectiveness of technology use for a desired goal. Adapting Reid's pioneering Perceptual Learning Style Preference Questionnaire (PLSPQ), this study investigated the relations of university students'…
Descriptors: Technology Uses in Education, Computer Uses in Education, Cognitive Style, Higher Education

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