AI-supported Authentic Communication with Native Speakers: Exploring EFL Learners' Willingness to Communicate and Emotional Changes
Paper
Deng, Yuanlin, Wen, Kaiyu, Dusza, Daniel G. and Huang, Hui-Wen. 2024. "AI-supported Authentic Communication with Native Speakers: Exploring EFL Learners' Willingness to Communicate and Emotional Changes." 2024 8th International Conference on Innovation in Artificial Intelligence (ICIAI 2024). Tokyo, Japan 16 - 18 Mar 2024 United States. Association for Computing Machinery (ACM). https://doi.org/10.1145/3655497.3655530
| Paper/Presentation Title | AI-supported Authentic Communication with Native Speakers: Exploring EFL Learners' Willingness to Communicate and Emotional Changes |
|---|---|
| Presentation Type | Paper |
| Authors | Deng, Yuanlin, Wen, Kaiyu, Dusza, Daniel G. and Huang, Hui-Wen |
| Journal or Proceedings Title | Proceedings of the 2024 8th International Conference on Innovation in Artificial Intelligence (ICIAI 2024) |
| Journal Citation | pp. 59-64 |
| Number of Pages | 6 |
| Year | 2024 |
| Publisher | Association for Computing Machinery (ACM) |
| Place of Publication | United States |
| ISBN | 9798400709302 |
| Digital Object Identifier (DOI) | https://doi.org/10.1145/3655497.3655530 |
| Web Address (URL) of Paper | https://dl.acm.org/doi/10.1145/3655497.3655530 |
| Web Address (URL) of Conference Proceedings | https://dl.acm.org/doi/proceedings/10.1145/3655497 |
| Conference/Event | 2024 8th International Conference on Innovation in Artificial Intelligence (ICIAI 2024) |
| Event Details | 2024 8th International Conference on Innovation in Artificial Intelligence (ICIAI 2024) Delivery In person Event Date 16 to end of 18 Mar 2024 Event Location Tokyo, Japan |
| Abstract | EFL students’ willingness to communicate (WTC) is a major contributor to speaking in authentic situations. This case study examined the influence of artificial intelligence (AI) on the WTC among Chinese university students engaged in face-to-face (F2F) interactions with a native English speaker. Employing a mixed-method approach, including a WTC questionnaire and two open-ended questions, the study involved fourteen students who engaged in AI chatbot-assisted communication practice simulating human-like dialogues prior to F2F interactions with a native English-speaking teacher outside the traditional classroom setting. The results of the WTC survey indicated positive outcomes and content analysis findings reported students exhibiting shifts from negative emotional states to positive ones. AI's role in pre-talk preparation significantly contributed to the success of students' interactions, emphasizing the value of AI chatbots in the absence of authentic communication opportunities. The study concludes that strategically integrating AI chatbot aligns with the active filter hypothesis, reducing anxiety and promoting positive WTC, thus enhancing language learning experiences. |
| Keywords | artificial intelligence chatbots; emotions in EFL learning; willingness to communicate; motivation |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 4602. Artificial intelligence |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Shaoguan University, China |
| University of Southern Queensland |
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https://research.usq.edu.au/item/z9956/ai-supported-authentic-communication-with-native-speakers-exploring-efl-learners-willingness-to-communicate-and-emotional-changes
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