AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can expand the Abstract, Links and BibTex record for each paper.
2025
Wang, W. -S.; Lin, C. -J.; Lee, H. -Y.; Huang, Y. -M.; Wu, T. -T.
Integrating feedback mechanisms and ChatGPT for VR-based experiential learning: impacts on reflective thinking and AIoT physical hands-on tasks Journal Article
In: Interactive Learning Environments, vol. 33, no. 2, pp. 1770–1787, 2025, ISSN: 10494820 (ISSN).
Abstract | Links | BibTeX | Tags: AIoT, feedback mechanisms, generative artificial intelligence, physical hands-on tasks, reflective thinking, Virtual Reality
@article{wang_integrating_2025,
title = {Integrating feedback mechanisms and ChatGPT for VR-based experiential learning: impacts on reflective thinking and AIoT physical hands-on tasks},
author = {W. -S. Wang and C. -J. Lin and H. -Y. Lee and Y. -M. Huang and T. -T. Wu},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105001238541&doi=10.1080%2f10494820.2024.2375644&partnerID=40&md5=136ac17a3a460dfd98cf7baa6439062e},
doi = {10.1080/10494820.2024.2375644},
issn = {10494820 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Interactive Learning Environments},
volume = {33},
number = {2},
pages = {1770–1787},
abstract = {This study investigates the application of Virtual Reality (VR) in the educational field, particularly its integration with GAI technologies such as ChatGPT to enhance the learning experience. The research indicates that while VR provides an immersive learning environment fostering student interaction and interest, the lack of a structured learning framework and personalized feedback may limit its educational effectiveness and potentially affect the transfer of VR-learned knowledge to physical hands-on tasks. Hence, it calls for the provision of more targeted and personalized feedback in VR learning environments. Through a randomized controlled trial (RCT), this study collected data from 77 university students, integrating experiential learning in VR for acquiring AIoT knowledge and practical skills, and compared the effects of traditional feedback versus GPT feedback on promoting reflective thinking, learning motivation, cognitive levels, and AIoT hands-on abilities among the students. The results show that the group receiving GPT feedback significantly outperformed the control group across these learning indicators, demonstrating the effectiveness of GAI technologies in providing personalized learning support, facilitating deep learning, and enhancing educational outcomes. This study offers new insights into the integration of GAI technology in VR learning environments, paving new pathways for the development and application of future educational technologies. © 2024 Informa UK Limited, trading as Taylor & Francis Group.},
keywords = {AIoT, feedback mechanisms, generative artificial intelligence, physical hands-on tasks, reflective thinking, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
This study investigates the application of Virtual Reality (VR) in the educational field, particularly its integration with GAI technologies such as ChatGPT to enhance the learning experience. The research indicates that while VR provides an immersive learning environment fostering student interaction and interest, the lack of a structured learning framework and personalized feedback may limit its educational effectiveness and potentially affect the transfer of VR-learned knowledge to physical hands-on tasks. Hence, it calls for the provision of more targeted and personalized feedback in VR learning environments. Through a randomized controlled trial (RCT), this study collected data from 77 university students, integrating experiential learning in VR for acquiring AIoT knowledge and practical skills, and compared the effects of traditional feedback versus GPT feedback on promoting reflective thinking, learning motivation, cognitive levels, and AIoT hands-on abilities among the students. The results show that the group receiving GPT feedback significantly outperformed the control group across these learning indicators, demonstrating the effectiveness of GAI technologies in providing personalized learning support, facilitating deep learning, and enhancing educational outcomes. This study offers new insights into the integration of GAI technology in VR learning environments, paving new pathways for the development and application of future educational technologies. © 2024 Informa UK Limited, trading as Taylor & Francis Group.