Presentation Proposals for GLoCALL 2021

Opened: Saturday, 1 December 2018, 12:00 AM [JST]

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Main presenter
Ms. Yanqiu CHEN
Sichuan Winshare Education Group (Sichuan, China)
Presenter [2]
Dr. CHEW Shin Yi Universiti Malaya
Presenter [3]
Presenter [4]
Presenter [5]
Presentation details
Presentation title
Speaking Performance and Anxiety Levels of Chinese EFL Learners in Face-to-Face and Synchoronous Voice-Based Chat
Presentation abstract
With the advanced development in mobile technology, there is a need to explore the potential of synchronous voice chats (SVC) operated within a mobile-assisted environment using mobile instant messaging apps. This study aimed to compare the speaking performance of Chinese EFL learners in both synchronous voice-based chat and face-to-face chat modes and explore the relationship between learners’ speaking performance and anxiety levels in these two chat modes which allow real-time communication. In this mixed methods study, WeChat instant messaging was used as the platform for synchronous voice-based chat (SVC). Forty students from a public university in China participated in 4 chat sessions in SVC and F2F chat modes over 4 weeks. Quantitative data were collected through the oral scores of the participants’ performance in the chat sessions and anxiety questionnaires. Then, qualitative data were obtained from a focus group interview. The findings revealed a significant difference in learners’ speaking performance in SVC and F2F chat. Students’ speaking performance outperformed in SVC chat compared to F2F chat. This could be linked to students’ anxiety levels which were slightly higher in F2F chat. Despite that, most of the students preferred F2F chat to SVC chat due to the practicality of F2F chat.
Original submission
synchronous voice chat; mobile instant messaging apps; WeChat; speaking performance; anxiety level
Application of technology to the language classroom
Possible presentation times
Presentation video
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Submitted by
Yanqiu Chen
Submitted: Tuesday, 17 March 2020, 1:44 PM [JST]
Modified: Thursday, 16 December 2021, 8:04 AM [JST]
Peer review
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