TY - GEN
T1 - NivTA
T2 - 2nd IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024
AU - Jia, Ye
AU - Sin, Zackary P.T.
AU - Wang, Xiangzhi Eric
AU - Li, Chen
AU - Ng, Peter H.F.
AU - Huang, Xiao
AU - Dong, Junnan
AU - Wang, Yaowei
AU - Baciu, George
AU - Cao, Jiannong
AU - Li, Qing
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Edu-metaverse is a specialized metaverse dedicated for interactive education in an immersive environment. Its main purpose is to immerse the learners in a digital environment and conduct learning activities that could mirror reality. Not only does it enable activities that may be difficult to perform in the real world, but it also extends the interaction to personalized and CL. This is a more effective pedagogical approach as it tends to enhance the motivation and engagement of students and it increases their active participation in lessons delivered. To this extend, we propose to realize an interactive virtual teaching assistant called NivTA. To make NivTA easily accessible and engaging by multiple users simultaneously, we also propose to use a CAVE virtual environment (CAVE-VR) as a "metaverse window"into concepts, ideas, topics, and learning activities. The students simply need to step into the CAVE-VR and interact with a life-size teaching assistant that they can engage with naturally, as if they are approaching a real person. Instead of text-based interaction currently developed for large language models (LLM), NivTA is given additional cues regarding the users so it can react more naturally via a specific prompt design. For example, the user can simply point to an educational concept and ask NivTA to explain what it is. To guide NivTA onto the educational concept, the prompt is also designed to feed in an educational KG to provide NivTA with the context of the student's question. The NivTA system is an integration of several components that are discussed in this paper. We further describe how the system is designed and implemented, along with potential applications and future work on interactive collaborative edu-metaverse environments dedicated for teaching and learning.
AB - Edu-metaverse is a specialized metaverse dedicated for interactive education in an immersive environment. Its main purpose is to immerse the learners in a digital environment and conduct learning activities that could mirror reality. Not only does it enable activities that may be difficult to perform in the real world, but it also extends the interaction to personalized and CL. This is a more effective pedagogical approach as it tends to enhance the motivation and engagement of students and it increases their active participation in lessons delivered. To this extend, we propose to realize an interactive virtual teaching assistant called NivTA. To make NivTA easily accessible and engaging by multiple users simultaneously, we also propose to use a CAVE virtual environment (CAVE-VR) as a "metaverse window"into concepts, ideas, topics, and learning activities. The students simply need to step into the CAVE-VR and interact with a life-size teaching assistant that they can engage with naturally, as if they are approaching a real person. Instead of text-based interaction currently developed for large language models (LLM), NivTA is given additional cues regarding the users so it can react more naturally via a specific prompt design. For example, the user can simply point to an educational concept and ask NivTA to explain what it is. To guide NivTA onto the educational concept, the prompt is also designed to feed in an educational KG to provide NivTA with the context of the student's question. The NivTA system is an integration of several components that are discussed in this paper. We further describe how the system is designed and implemented, along with potential applications and future work on interactive collaborative edu-metaverse environments dedicated for teaching and learning.
KW - cave automatic virtual environment
KW - LLM agents
KW - natural user interface
KW - virtual teaching assistant
UR - http://www.scopus.com/inward/record.url?scp=85211447638&partnerID=8YFLogxK
U2 - 10.1109/MetaCom62920.2024.00023
DO - 10.1109/MetaCom62920.2024.00023
M3 - Conference article published in proceeding or book
AN - SCOPUS:85211447638
T3 - Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024
SP - 57
EP - 64
BT - Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 August 2024 through 14 August 2024
ER -