Content area

Abstract

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.

Details

1009240
Business indexing term
Title
Investigating the role of AI-powered conversation bots in enhancing L2 speaking skills and reducing speaking anxiety: a mixed methods study
Author
Ding, Dongliang 1 ; Muhyiddin B Yusof, Ahmad 2 

 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) 
 Universiti Teknologi MARA (UiTM), Akademi Pengajian Bahasa, Shah Alam, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343) 
Volume
12
Issue
1
Pages
1223
Publication year
2025
Publication date
Dec 2025
Publisher
Springer Nature B.V.
Place of publication
London
Country of publication
Netherlands
e-ISSN
2662-9992
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-08-01
Milestone dates
2025-07-14 (Registration); 2024-05-20 (Received); 2025-07-14 (Accepted)
Publication history
 
 
   First posting date
01 Aug 2025
ProQuest document ID
3235540124
Document URL
https://www.proquest.com/scholarly-journals/investigating-role-ai-powered-conversation-bots/docview/3235540124/se-2?accountid=208611
Copyright
© The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-07
Database
ProQuest One Academic