Design and implementation of Math City: An inquiry-based metaverse platform for mathematics education

Artigo2025

Manpreet Singh ORCID; Daner Sun ORCID; Yin Yang ORCID

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Resumo

Responding to the need for innovative educational environments in higher education, this study presents “Math City”, an immersive Metaverse platform designed to enhance inquiry-based mathematics learning and develop 21st-century skills. Traditional university-level mathematics courses often encounter difficulties in sustaining student engagement and fostering the application of abstract concepts, such as the properties of three-dimensional shapes. To address these challenges, Math City was designed using the Unity game engine, which incorporates the 5E instructional model (Engage, Explore, Explain, Elaborate, and Evaluate) alongside gamification elements such as quests, rewards, and badges to enhance motivation and support conceptual understanding. Within a virtual abandoned city setting, students work collaboratively to complete four interrelated quests, each aligned with specific phases of the 5E model, guiding them through meaningful investigations of 3D shape properties in an engaging and authentic context. The platform was evaluated by 179 participants, utilizing the System Usability Scale (SUS) for data collection. The results showed an overall SUS score of 74.54, corresponding to a “B” grade on the Sauro and Lewis usability scale, indicating an acceptable level of usability. Although participants provided positive feedback regarding the platform's efficiency, effectiveness, and user satisfaction, slight variations in SUS scores were observed across demographic groups, including gender, age, and educational background. The implications of this study were discussed. Future development of Math City will focus on expanding its assessment capabilities to evaluate not only knowledge acquisition but also higher-order competencies such as critical thinking, collaboration, and creativity. Additionally, the development of a VR-compatible version is planned to further enhance the immersive experience and provide deeper insights into student learning within Metaverse-based educational environments.

Dados da obra

Tipo
Artigo
Periódico
Computers and Education Artificial Intelligence, v. 9, p. 100462
Editora
Elsevier BV
Ano
2025 (2025-08-13)
Idioma
en
Palavras-chave
metaverse; mathematics education; inquiry-based learning; 5E instructional model; gamification; Unity game engine; usability evaluation; System Usability Scale; virtual learning environments; higher education; student engagement; 21st century skills; cooperative learning
Temas
Avaliação
DOI
10.1016/j.caeai.2025.100462
ISSN
2666-920X
Licença
cc-by-nc-nd
Acesso
Acesso aberto
Fontes
OpenAlex
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
SINGH, Manpreet; SUN, Daner; YANG, Yin. Design and implementation of Math City: An inquiry-based metaverse platform for mathematics education. Computers and Education Artificial Intelligence, v. 9, p. 100462, 2025. DOI: https://doi.org/10.1016/j.caeai.2025.100462.

APA

Singh, M., Sun, D., & Yang, Y. (2025). Design and implementation of Math City: An inquiry-based metaverse platform for mathematics education. Computers and Education Artificial Intelligence, 9, 100462. https://doi.org/10.1016/j.caeai.2025.100462

BibTeX
@article{singh2025,
  author = {Singh, Manpreet and Sun, Daner and Yang, Yin},
  title = {Design and implementation of Math City: An inquiry-based metaverse platform for mathematics education},
  year = {2025},
  journal = {Computers and Education Artificial Intelligence},
  volume = {9},
  pages = {100462},
  publisher = {Elsevier BV},
  doi = {10.1016/j.caeai.2025.100462},
  language = {en}
}
RIS
TY  - JOUR
AU  - Singh, Manpreet
AU  - Sun, Daner
AU  - Yang, Yin
TI  - Design and implementation of Math City: An inquiry-based metaverse platform for mathematics education
PY  - 2025
JO  - Computers and Education Artificial Intelligence
VL  - 9
SP  - 100462
DO  - 10.1016/j.caeai.2025.100462
LA  - en
ER  - 

Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS

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