A Hybrid Model for Effective Student Engagement in a Metaverse Learning Framework

DOI

10.2991/978-94-6239-616-6_32How to use a DOI?

Keywords

Gamification; Reinforcement learning; Graph-based Networks; Student Engagement; Metaverse learning; and Learning Outcome

Abstract

Traditional education learning models are facing challenges in learning scenarios in terms of poor scalability for remote users, less motivation for steps to enhance learning, and limited knowledge retention. The existing models and gamification mechanisms, although addressing these challenges, still suffer from adaptability, holistic engagement, and incorporation of changes based on continuous feedback. To address these shortcomings and gaps, a hybrid model is demanded, which consists of a metaverse environment, gamification, reinforcement learning, and Graphical neural networks. This model makes learning more personalized through immersive learning, behavioral insights, and real-time feedback, to foster better emotional engagement using avatars. The proposed methodology ensures goal-oriented tasks, gamified task integration, avatar-based collaboration, and adaptive feedback loops for better knowledge retention. The evaluation of the proposed model against standalone and traditional approaches in terms of performance and robustness is far better, enabling strong reshaping of digital education into a better engagement, student-centric eco-systems.

Copyright

© 2026 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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TY  - CONF
AU  - S. Adinaarayana
AU  - B. V. N. Prasad Paruchuri
AU  - Shaik Jumlesha
AU  - U. Sesadri
AU  - D. Ravi Kiran
AU  - S. Hrushikesava Raju
PY  - 2026
DA  - 2026/03/31
TI  - A Hybrid Model for Effective Student Engagement in a Metaverse Learning Framework
BT  - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
PB  - Atlantis Press
SP  - 412
EP  - 426
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-616-6_32
DO  - 10.2991/978-94-6239-616-6_32
ID  - Adinaarayana2026
ER  -