Designing and Evaluating a Voice-Based Chatbot System for Second Language Speaking Fluency and Learner Engagement
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| Title: | Designing and Evaluating a Voice-Based Chatbot System for Second Language Speaking Fluency and Learner Engagement |
|---|---|
| Language: | English |
| Authors: | Eun Young Oh (ORCID |
| Source: | Journal of Educational Technology Systems. 2026 54(4):761-785. |
| Availability: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 25 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Second Language Instruction, Second Language Learning, Undergraduate Students, Artificial Intelligence, Audio Equipment, Speech Communication, Language Fluency, Accuracy, Instructional Effectiveness, Usability, Interaction, Educational Technology, Computer Assisted Instruction, Korean, Learner Engagement, Learning Motivation |
| DOI: | 10.1177/00472395261435622 |
| ISSN: | 0047-2395 1541-3810 |
| Abstract: | This pilot study investigates the potential of a voice-based chatbot (EnMIA) to support speaking fluency, motivation, and engagement among undergraduate Korean language learners at a single U.S. Midwestern university. The chatbot aims to provide interactive, real-world speaking tasks accessible through multi-platforms, supporting seamless learning. Data were collected over one academic semester through pre- and post-speaking assessments and surveys. Speaking performance data indicated an improvement in fluency, though accuracy and complexity remained unchanged, in a pre-post design without control group, suggesting short-term practice may strengthen learners' ability to speak more smoothly and confidently. However, without a control group, gains cannot be solely attributed to the tool. Survey results showed high perceptions of support, design, and usability, with interactive tasks correlated with motivation. The findings highlight chatbot-supported interaction potentially enhance motivation and fluency, while pointing to the need for extended practice and targeted design to affect accuracy and complexity. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1504365 |
| Database: | ERIC |
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