Mobile-assisted pronunciation learning with feedback from peers and/or automatic speech recognition: a mixed-methods study

• DOI: 10.1080/09588221.2021.1952272
• Publication Date: 2021-07-26T20:24:44Z
• Authors: Yuanjun Dai; Zhiwei Wu
• Keywords: Pronunciation; Affordance; Dictation

Although social networking apps and dictation-based automatic speech recognition (ASR) are now widely available in mobile phones, relatively little is known about whether how these technological affordances can contribute to EFL pronunciation learning. The purpose of this study investigate the effectiveness feedback from peers and/or ASR mobile-assisted 84 Chinese university students were assigned into three conditions, using WeChat (a multi-purpose app) for autonomous (the Auto-ASR group), peer Co-non-ASR or plus Co-ASR group). Quantitative data included pretest, posttest, delayed students' perception questionnaires, while qualitative interviews. main findings are: (a) all groups improved their pronunciation, but outperformed group; (b) showed no significant difference questionnaires; (c) interviews revealed some common unique technical, social/psychological, educational concerns learning conditions.