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Applying University Competence Assessment Network Common Competency and EMI Pedagogy
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Author(s): Hsing-Yu Hou (Department of Information Management, National Taichung University of Science and Technology, Taichung, Taiwan), Pei-Jung Wu (Department of Intelligent Production Engineering, National Taichung University of Science and Technology, Taichung, Taiwan), Chih-Teng Chen (Bachelor Degree Program of Artificial Intelligence, Department of Information Management, Taichung City, Taiwan)and Li-Wen Huang (Language Center, Chaoyang University of Technology, Taichung, Taiwan)
Copyright: 2025
Volume: 21
Issue: 1
Pages: 22
Source title:
International Journal of Information and Communication Technology Education (IJICTE)
Editor(s)-in-Chief: David D. Carbonara (Duquesne University, USA)
DOI: 10.4018/IJICTE.374198
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Abstract
This study created an all-English learning environment for teachers and students by integrating the theoretical framework of the University Competence Assessment Network common competency with the pedagogical method of English as a Medium of Instruction (EMI). The study targeted approximately 45 students, ranging from sophomore to senior, taking general education big data application courses. The study used a questionnaire with a satisfaction scale that combined the school's teaching evaluation items with four EMI skills (listening, speaking, reading, and writing) to assess whether innovative teaching strategies satisfied the students. The results showed that all competencies except interpersonal interaction significantly improved, especially problem solving ability. The teaching environment created by the study employed Tableau software, which makes it easier to create clear and information-rich graphic designs and visual presentations. The all-English teaching method improved students' English listening and other skills. These results suggest that in the future, big data courses using EMI should incorporate more elements of oral expression and technical English writing.
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