Restructuring multimodal corrective feedback through Augmented Reality (AR)-enabled videoconferencing in L2 pronunciation teaching
Restructuring multimodal corrective feedback through Augmented Reality (AR)-enabled videoconferencing in L2 pronunciation teaching
Date
2023-10-02
Authors
Wen, Yiran
Li, Jian
Xu, Hongkang
Hu, Hanwen
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University of Hawaii National Foreign Language Resource Center
Center for Language & Technology
Center for Language & Technology
Volume
27
Number/Issue
3
Starting Page
83
Ending Page
107
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Abstract
The problem of cognitive overload is particularly pertinent in multimedia L2 classroom corrective feedback (CF), which involves rich communicative tools to help the class to notice the mismatch between the target input and learners’ pronunciation. Based on multimedia design principles, this study developed a new multimodal CF model through augmented reality (AR)-enabled videoconferencing to eliminate extraneous cognitive load and guide learners’ attention to the essential material. Using a quasi-experimental design, this study aims to examine the effectiveness of this new CF model in improving Chinese L2 students’ segmental production and identification of the targeted English consonants (dark /ɫ/, /ð/and /θ/), as well as their attitudes towards this application. Results indicated that the online multimodal CF environment equipped with AR annotation and filters played a significant role in improving the participants’ production of the target segments. However, this advantage was not found in the auditory identification tests compared to the offline CF multimedia class. In addition, the learners reported that the new CF model helped to direct their attention to the articulatory gestures of the student being corrected, and enhance the class efficiency. Implications for computer-assisted pronunciation training and the construction of online/offline multimedia learning environments are also discussed.
Description
Keywords
Corrective Feedback,
Multimedia Learning,
Computer-assisted Pronunciation Training (CAPT),
AR-enabled Videoconferencing
Citation
Wen, Y., Li, J., Xu, H., & Hu, H. (2023). Restructuring multimodal corrective feedback through Augmented Reality (AR)-enabled videoconferencing in L2 pronunciation teaching. Language Learning & Technology, 27(3), 83–107. https://hdl.handle.net/10125/73533
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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