Yi Chun Liu (National Dong Hwa University, Taiwan)
Abstract
In this study, I explored the integration of interpreting skills into English language teaching to enhance non-English major college students' oral communication abilities. I divided sixty-two freshman English students into an experimental group, receiving oral training through shadowing techniques, and a control group, following traditional instruction. Utilizing a quasi-experimental design, my data collection included pre- and posttest speaking assessments, learning engagement scales, and semi-structured focus group interviews. My assessment tools also encompassed 200-word reflection essays and ANCOVA for analyzing group differences. My results indicated significant improvements in fluency and oral communication for the experimental group, highlighting the effectiveness of incorporating interpreting skills in EFL courses. The study underscored the roles of learners and technology, particularly AI speech recognition tools, in advancing language education. It offers valuable insights for educators on developing dynamic and effective teaching models to enhance EFL learners' engagement and speaking performance.
Poster (In person; 50 minutes)
Speaking / Conversation / Pronunciation
Primarily of interest to teachers of university students
About the Presenter
Yi Chun Liu is currently an associate professor in the language center at National Dong Hwa University, Taiwan. She received her PhD in teaching English as a second language from Texas A&M University, USA. Her research interests include computer-assisted language learning, intercultural communication, and English for specific purposes (ESP).
