Tsing XiaoAI: A Digital Teacher in Virtual Environment
- DOI
- 10.2991/978-94-6463-242-2_22How to use a DOI?
- Keywords
- Digital teacher; Virtual reality; Elementary education; Virtual teaching environment
- Abstract
Digital humans have become a significant area of focus in the fields of computer graphics and human-computer interaction research. In this context, we propose a technical framework for the implementation of digital teachers in virtual teaching environments. To evaluate the effectiveness of our design concept and technical approach, we developed Tsing XiaoAI, a digital teacher, and conducted a randomized controlled trial (RCT) involving 90 primary school students. The RCT aimed to examine the impact of the digital teacher on students’ subjective experience and objective learning outcomes. The technological validation results indicate that our proposed technical framework is a feasible solution for integrating digital teachers into virtual teaching environments. Furthermore, the experimental findings suggest that digital teachers have a positive effect on enhancing students’ interest in learning, increasing virtual classroom interactivity, and significantly improving learning outcomes.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jiahao Li AU - Wai Kin Victor Chan AU - Ke Fang PY - 2023 DA - 2023/09/22 TI - Tsing XiaoAI: A Digital Teacher in Virtual Environment BT - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023) PB - Atlantis Press SP - 182 EP - 190 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-242-2_22 DO - 10.2991/978-94-6463-242-2_22 ID - Li2023 ER -