Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)

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Construction of Learner Behavior Analysis Model in Immersive Virtual Reality

Based on Data Mining Technology

Authors
Hejin Wang1, *, Chengzheng Li2
1The University of Library, Sichuan University of Arts and Science, Dazhou, Sichuan, China
2Modern Educational Technology Center, China West Normal University, Nanchong, Sichuan, China
*Corresponding author. Email: 363366070@qq.com
Corresponding Author
Hejin Wang
Available Online 30 June 2023.
DOI
10.2991/978-94-6463-172-2_101How to use a DOI?
Keywords
Immersive; virtual reality; Learning behavior method; Data mining technology
Abstract

In the IVR environment, tracking and understanding learners’ learning behavior is conducive to timely monitoring and guiding their learning status in the whole process, and is also conducive to system development and designers to further ensure the balance between teaching objectives and task settings. Based on data mining technology and the characteristics of IVR learning environment, this study discusses the deep integration of technology and learning data, constructs a learner behavior analysis model and applies it in the actual classroom of IVR. The specific distribution of learners in different clusters and the frequent sequence patterns of each cluster are found in practice, and the behavior sequence patterns of people with different performance levels can also be found by behavior sequence analysis. The results show that the behavior analysis method based on data mining technology can comprehensively reflect the learning state of students, provide the basis for teachers to implement accurate policies in IVR learning environment, and promote the data, scientization and precision of educational evaluation.

Copyright
© 2023 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.

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Volume Title
Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 June 2023
ISBN
978-94-6463-172-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-172-2_101How to use a DOI?
Copyright
© 2023 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

risenwbib
TY  - CONF
AU  - Hejin Wang
AU  - Chengzheng Li
PY  - 2023
DA  - 2023/06/30
TI  - Construction of Learner Behavior Analysis Model in Immersive Virtual Reality
BT  - Proceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)
PB  - Atlantis Press
SP  - 960
EP  - 971
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-172-2_101
DO  - 10.2991/978-94-6463-172-2_101
ID  - Wang2023
ER  -