Enhancing Linear Algebra Education with AI-Generated Content in the CityU Metaverse: A Comparative Study

Yicong Li; Elston Chun Hei Pang; Cindy Sin Yung Ng; Mohammed Azim; Howard Leung

doi:10.1007/978-981-96-4407-0_1

Enhancing Linear Algebra Education with AI-Generated Content in the CityU Metaverse: A Comparative Study

Yicong Li, Elston Chun Hei Pang, Cindy Sin Yung Ng, Mohammed Azim, Howard Leung^*

^*Corresponding author for this work

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

In today’s digital age, the metaverse is emerging as the forthcoming evolution of the internet. It provides an immersive space that marks a new frontier in the way digital interactions are facilitated and experienced. In this paper, we present the CityU Metaverse, which aims to construct a digital twin of our university campus. It is designed as an educational virtual world where learning applications can be embedded in this virtual campus, supporting not only remote and collaborative learning but also professional technical training to enhance educational experiences through immersive and interactive learning. To evaluate the effectiveness of this educational metaverse, we conducted an experiment focused on 3D linear transformation in linear algebra, with teaching content generated by generative AI, comparing our metaverse system with traditional teaching methods. Knowledge tests and surveys assessing learning interest revealed that students engaged with the CityU Metaverse, facilitated by AI-generated content, outperformed those in traditional settings and reported greater enjoyment during the learning process. The work provides valuable perspectives on the behaviors and interactions within the metaverse by analyzing user preferences and learning outcomes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Original language	English
Title of host publication	Learning Technologies and Systems
Subtitle of host publication	23rd International Conference on Web-Based Learning, ICWL 2024 and 9th International Symposium on Emerging Technologies for Education, SETE 2024, Revised Selected Papers
Editors	Tianyong Hao, Junjie Gavin Wu, Xiangfeng Luo, Yan Sun, Yuanyuan Mu, Shili Ge, Wenxiu Xie
Publisher	Springer Singapore
Pages	3-16
ISBN (Electronic)	9789819644070
ISBN (Print)	9789819644063
DOIs	https://doi.org/10.1007/978-981-96-4407-0_1
Publication status	Published - 2025
Event	23rd International Conference on Web-Based Learning (ICWL 2024) and 9th International Symposium on Emerging Technologies for Education (SETE 2024) - Shanghai, China Duration: 26 Nov 2024 → 28 Nov 2024

Publication series

Name	Lecture Notes in Computer Science
Volume	15589
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	23rd International Conference on Web-Based Learning (ICWL 2024) and 9th International Symposium on Emerging Technologies for Education (SETE 2024)
Abbreviated title	ICWL-SETE 2024
Place	China
City	Shanghai
Period	26/11/24 → 28/11/24

Funding

The work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China [Project No. CityU11208324].

Research Keywords

digital twin
educational metaverse
generative AI
metaverse
virtual learning environment
virtual reality

RGC Funding Information

RGC-funded

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-981-96-4407-0_1

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Li, Y., Pang, E. C. H., Ng, C. S. Y., Azim, M., & Leung, H. (2025). Enhancing Linear Algebra Education with AI-Generated Content in the CityU Metaverse: A Comparative Study. In T. Hao, J. G. Wu, X. Luo, Y. Sun, Y. Mu, S. Ge, & W. Xie (Eds.), Learning Technologies and Systems: 23rd International Conference on Web-Based Learning, ICWL 2024 and 9th International Symposium on Emerging Technologies for Education, SETE 2024, Revised Selected Papers (pp. 3-16). (Lecture Notes in Computer Science; Vol. 15589). Springer Singapore. https://doi.org/10.1007/978-981-96-4407-0_1

Li, Yicong ; Pang, Elston Chun Hei ; Ng, Cindy Sin Yung et al. / Enhancing Linear Algebra Education with AI-Generated Content in the CityU Metaverse : A Comparative Study. Learning Technologies and Systems: 23rd International Conference on Web-Based Learning, ICWL 2024 and 9th International Symposium on Emerging Technologies for Education, SETE 2024, Revised Selected Papers. editor / Tianyong Hao ; Junjie Gavin Wu ; Xiangfeng Luo ; Yan Sun ; Yuanyuan Mu ; Shili Ge ; Wenxiu Xie. Springer Singapore, 2025. pp. 3-16 (Lecture Notes in Computer Science).

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title = "Enhancing Linear Algebra Education with AI-Generated Content in the CityU Metaverse: A Comparative Study",

abstract = "In today{\textquoteright}s digital age, the metaverse is emerging as the forthcoming evolution of the internet. It provides an immersive space that marks a new frontier in the way digital interactions are facilitated and experienced. In this paper, we present the CityU Metaverse, which aims to construct a digital twin of our university campus. It is designed as an educational virtual world where learning applications can be embedded in this virtual campus, supporting not only remote and collaborative learning but also professional technical training to enhance educational experiences through immersive and interactive learning. To evaluate the effectiveness of this educational metaverse, we conducted an experiment focused on 3D linear transformation in linear algebra, with teaching content generated by generative AI, comparing our metaverse system with traditional teaching methods. Knowledge tests and surveys assessing learning interest revealed that students engaged with the CityU Metaverse, facilitated by AI-generated content, outperformed those in traditional settings and reported greater enjoyment during the learning process. The work provides valuable perspectives on the behaviors and interactions within the metaverse by analyzing user preferences and learning outcomes. {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.",

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language = "English",

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booktitle = "Learning Technologies and Systems",

address = "Singapore",

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Li, Y, Pang, ECH, Ng, CSY, Azim, M & Leung, H 2025, Enhancing Linear Algebra Education with AI-Generated Content in the CityU Metaverse: A Comparative Study. in T Hao, JG Wu, X Luo, Y Sun, Y Mu, S Ge & W Xie (eds), Learning Technologies and Systems: 23rd International Conference on Web-Based Learning, ICWL 2024 and 9th International Symposium on Emerging Technologies for Education, SETE 2024, Revised Selected Papers. Lecture Notes in Computer Science, vol. 15589, Springer Singapore, pp. 3-16, 23rd International Conference on Web-Based Learning (ICWL 2024) and 9th International Symposium on Emerging Technologies for Education (SETE 2024), Shanghai, China, 26/11/24. https://doi.org/10.1007/978-981-96-4407-0_1

Enhancing Linear Algebra Education with AI-Generated Content in the CityU Metaverse: A Comparative Study. / Li, Yicong; Pang, Elston Chun Hei; Ng, Cindy Sin Yung et al.
Learning Technologies and Systems: 23rd International Conference on Web-Based Learning, ICWL 2024 and 9th International Symposium on Emerging Technologies for Education, SETE 2024, Revised Selected Papers. ed. / Tianyong Hao; Junjie Gavin Wu; Xiangfeng Luo; Yan Sun; Yuanyuan Mu; Shili Ge; Wenxiu Xie. Springer Singapore, 2025. p. 3-16 (Lecture Notes in Computer Science; Vol. 15589).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Leung, Howard

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KW - generative AI

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Li Y, Pang ECH, Ng CSY, Azim M, Leung H. Enhancing Linear Algebra Education with AI-Generated Content in the CityU Metaverse: A Comparative Study. In Hao T, Wu JG, Luo X, Sun Y, Mu Y, Ge S, Xie W, editors, Learning Technologies and Systems: 23rd International Conference on Web-Based Learning, ICWL 2024 and 9th International Symposium on Emerging Technologies for Education, SETE 2024, Revised Selected Papers. Springer Singapore. 2025. p. 3-16. (Lecture Notes in Computer Science). Epub 2025 Apr 17. doi: 10.1007/978-981-96-4407-0_1

Enhancing Linear Algebra Education with AI-Generated Content in the CityU Metaverse: A Comparative Study

Abstract

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Research Keywords

RGC Funding Information

UN SDGs

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Enhancing Linear Algebra Education with AI-Generated Content in the CityU Metaverse: A Comparative Study

Abstract

Publication series

Conference

Funding

Research Keywords

RGC Funding Information

UN SDGs

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Projects

GRF: Assessment in Sports Videos: A Deep Learning Approach with 3D Human Posture Integration

Cite this