Immersive Experiences in Virtual Science Labs: A Systematic Review and the VIRTAS Framework

Anis Ezzaty, Mohd Saidi and Syahrul Nizam, Junaini and Wan Azani, Mustafa (2025) Immersive Experiences in Virtual Science Labs: A Systematic Review and the VIRTAS Framework. In: 2025 International Conference on Electrical Engineering and Informatics (ICEEI), 13-15 November 2025, Kuching, Sarawak, Malaysia.

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Official URL: https://ieeexplore.ieee.org/document/11330708

Abstract

Virtual laboratories and Metaverse platforms are reshaping science education by offering immersive, interactive, and scalable alternatives to traditional labs. This systematic review synthesizes 37 peer-reviewed studies (2021–2024) from Scopus and Web of Science, guided by PRISMA protocols. Findings show that Augmented and Virtual Reality-based virtual labs enhance understanding of abstract scientific concepts, promote critical thinking, and support collaborative problem-solving through real-time simulations and feedback. These technologies improve access to practical science experiences, especially in under-resourced contexts. Key challenges persist, including digital inequality, cognitive overload, and limited teacher preparedness. To address these, the review proposes a new framework: Virtual Immersion for Real-Time Thinking, Access, and Skills (VIRTAS). It is built on six pedagogical pillars based on the SLR results: immersive simulation, instant feedback, gamified learning, team collaboration, equitable access, and skill scaffolding. Anchored in Theory, Context, Construct and Methods (TCCM) analysis, VIRTAS offers a model for designing and assessing Metaverse-based science labs. The review outlines a roadmap for future research, policy, and practice in immersive Science, Technology, Engineering, and Mathematics (STEM) education.

Item Type: Proceeding (Paper)
Uncontrolled Keywords: Virtual Science Labs, Metaverse in Education, STEM Education, Augmented and Virtual Reality (AR/VR), Immersive Learning Environments.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Junaini
Date Deposited: 27 Jan 2026 00:21
Last Modified: 27 Jan 2026 00:21
URI: http://ir.unimas.my/id/eprint/51326

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