Investigating the Effect of Role-Play Activity With GenAI Agent on EFL Students’ Speaking Performance
Role-play activities are considered a useful instructional design in enhancing the speaking performance of foreign language learners. However, in the traditional classroom context, learners may not readily have access to interlocutors for role-play activities. In this study, we proposed a designed method that integrated the GenAI agent into role-play activities and conducted a quasi-experiment at a Chinese university. A total of 53 Chinese students in an English course were assigned to an experimental group ( n = 29) that engaged in role-playing with a GenAI agent and a control group ( n = 24) that engaged in role-playing with their class peers. The results showed role-play activities with GenAI could facilitate students’ speaking performance, and one-way ANCOVA showed there was no significant difference in speaking performance improvement when compared with traditional role-play activities with peers. Moreover, the paired-sample Wilcoxon test showed that the treatment students had significant intrinsic motivation and self-efficacy improvement, which were higher than the control group. The findings provide important implications for the design and implementation of GenAI-integrated role-play activities for foreign language speaking learning.
Authors
- Angxuan Chen (ORCID: https://orcid.org/0009-0000-0717-7552)
- Jiyou Jia (ORCID: https://orcid.org/0000-0002-8034-342X)
- Fu Liu (ORCID: https://orcid.org/0000-0002-7393-2963)
- Yuzhen Li (ORCID: https://orcid.org/0000-0003-4068-8316)
Institutions
- Beijing Institute of Technology (CN)
- Peking University (CN)
- China University of Mining and Technology (CN)
- Zhuhai Institute of Advanced Technology (CN)
Publication Details
- Journal
- Journal of Educational Computing Research
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1177/07356331241299058
- Citations
- 25
- Primary Topic
- EFL/ESL Teaching and Learning
- Type
- article
- Field-Weighted Citation Impact
- 69.47