Robot-Assisted Language Learning
Integrating Artificial Intelligence and Virtual Reality into English Tour Guide Practice
Bibliographic Data
| ID | 22042342 |
|---|---|
| Authors | Yu-Li Chen (0000-0002-5282-6088, Lunghwa University of Science and Technology, corresponding author), Chun-Chia Hsu (Lunghwa University of Science and Technology), Chih-Yung Lin (Department of Multimedia and Game Science, Lunghwa University of Science and Technology; Taoyuan City 333326, Taiwan), Chih‐Yung Lin (0000-0002-7407-7794, Lunghwa University of Science and Technology), Hsiao-Hui Hsu (Lunghwa University of Science and Technology) |
| Year | 2022 |
| Volume | 12 |
| Issue | 7 |
| Pages | 437 |
| Publication date | 2022-06-24 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci12070437 |
| OpenAlex | W4283465309 |
| Language | EN |
| Citations received | 23 |
| References cited | 41 |
This action research created an application system using robots as a tool for training English-language tour guides. It combined artificial intelligence (AI) and virtual reality (VR) technologies to develop content for tours and a 3D VR environment using the AI Unity plug-in for programming. Students learned to orally interact with the robot and act as a guide to various destinations. The qualitative methods included observation, interviews, and self-reporting of learning outcomes. Two students voluntarily participated in the study. The intervention lasted for ten weeks. The results indicated the teaching effectiveness of robot-assisted language learning (RALL). The students acknowledged the value of RALL and had positive attitudes toward it. The contextualized VR learning environment increased their motivation and engagement in learning, and students perceived that RALL could help develop autonomy, enhance interaction, and provide an active learning experience. The implications of the study are that RALL has potential and that it provides an alternative learning opportunity for students
Human–computer interaction · Language acquisition · Mathematics education · Multimedia · Robot · Virtual reality · AI in Service Interactions · Computer Science · Psychology · Robotics and Automated Systems · Social Robot Interaction and HRI · Artificial Intelligence
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| Unique citing works | 23 |
|---|---|
| Citations per year | 5.75 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 22 |