Investigating the role of AI-powered conversation bots in enhancing L2 speaking skills and reducing speaking anxiety: a mixed methods study

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發表在:Humanities & Social Sciences Communications vol. 12, no. 1 (Dec 2025), p. 1223
主要作者: Ding, Dongliang
其他作者: Muhyiddin B Yusof, Ahmad
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Springer Nature B.V.
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045 2 |b d20251201  |b d20251231 
100 1 |a Ding, Dongliang  |u Nanyang Normal University, Foreign Languages School, Nanyang, China (GRID:grid.453722.5) (ISNI:0000 0004 0632 3548); Universiti Teknologi MARA (UiTM), Akademi Pengajian Bahasa, Shah Alam, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343) 
245 1 |a Investigating the role of AI-powered conversation bots in enhancing L2 speaking skills and reducing speaking anxiety: a mixed methods study 
260 |b Springer Nature B.V.  |c Dec 2025 
513 |a Journal Article 
520 3 |a Developing robust second language (L2) speaking skills is crucial for effective communication. However, foreign language speaking anxiety (FLSA) remains a significant hurdle for EFL learners. This study investigates the combined impact of AI conversation bots on both enhancing L2 speaking skills and reducing FLSA. A mixed methods approach was employed, utilizing an explanatory sequential design. Participants (n = 60) enrolled as undergraduate college students in an IELTS preparation center were assigned to either an experimental group (utilizing Mondly, an AI-powered language learning platform) or a control group. The experimental group received access to Mondly for six weeks, while the control group engaged in alternative speaking practice activities. Both groups completed pre- and post-tests to assess L2 speaking skills (using the IELTS Speaking test) and L2 speaking anxiety (using a validated 19-item scale). Quantitative data analysis revealed significant improvements in L2 speaking skills and reductions in FLSA within the experimental group compared to the control group. Semi-structured interviews with a subset of the experimental group provided qualitative insights into their experiences. Thematic analysis identified positive perceptions regarding the application’s effectiveness in enhancing fluency, pronunciation, grammar, motivation, and confidence. Participants also reported reduced anxiety and a more positive learning experience. Overall, the study suggests that AI conversation bots hold promise as a valuable tool for EFL instruction, promoting L2 speaking proficiency and mitigating FLSA. 
653 |a Pedagogy 
653 |a Anxiety 
653 |a Language acquisition 
653 |a Fluency 
653 |a Verbal communication 
653 |a College students 
653 |a Educational activities 
653 |a Educational technology 
653 |a English as a second language tests 
653 |a English as a second language 
653 |a Foreign language learning 
653 |a Speaking 
653 |a Feedback 
653 |a Chatbots 
653 |a Skills 
653 |a Machine learning 
653 |a Classrooms 
653 |a Artificial intelligence 
653 |a English proficiency 
653 |a Mixed methods research 
653 |a Natural language processing 
653 |a Metacognition 
653 |a Pronunciation 
653 |a Education 
653 |a English as a second language instruction 
653 |a Conversation 
653 |a Test anxiety 
653 |a Learning 
653 |a Motivation 
653 |a Foreign languages 
653 |a Data analysis 
653 |a Teaching 
653 |a Control groups 
653 |a Research methodology 
653 |a Competence 
653 |a Data 
653 |a Language 
653 |a Groups 
700 1 |a Muhyiddin B Yusof, Ahmad  |u Universiti Teknologi MARA (UiTM), Akademi Pengajian Bahasa, Shah Alam, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343) 
773 0 |t Humanities & Social Sciences Communications  |g vol. 12, no. 1 (Dec 2025), p. 1223 
786 0 |d ProQuest  |t Social Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3235540124/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3235540124/fulltext/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
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