Immersive Learning in Higher Education: Integrating Artificial Intelligence and Virtual Reality

Miljan Stevanović1[0009-0007-8912-5625], Dragana Nikolić-Ristić3[0000-0003-0066-8644], Emilija Kisić2[0000-0003-3059-2353], Milica Mladenović3[0000-0003-3210-0316], Vladimir Vuković2[0000 0003-0702-2475], and Petar Pejić2[0000-0003-4155-8038]
1 Faculty of Digital Arts, Belgrade Metropolitan University, Tadeuša Košćuška 63, 11000 Belgrade, Serbia
2 Faculty of Information Technology, Belgrade Metropolitan University, Tadeuša Košćuška 63, 11000 Belgrade, Serbia
3 Faculty of Management, Belgrade Metropolitan University, Tadeuša Košćuška 63, 11000 Belgrade, Serbia
miljan.stevanovic@metropolitan.ac.rs,
dragana.nikolic@metropolitan.ac.rs,
emilija.kisic@metropolitan.ac.rs,
milica.mladenovic@metropolitan.ac.rs,
vladimir.vukovic@metropolitan.ac.rs,
petar.pejic@metropolitan.ac.rs
DOI: 10.46793/eLearning2025.324S

 

Abstract.  In this paper we propose an innovative framework for improving immersive learning in robotics education that combines virtual reality (VR), extended reality (XR), and artificial intelligence (AI). The main focus is to apply robotics in areas such as manufacturing, logistics, and automation, and to explore how immersive tools can make the learning process more effective. Using VR headsets, learners have interactive simulations that reflect real situations, like checking a production line or managing robotic packaging. These practice-based experiences can help them to gain skills which are highly demanded in modern industry environments. Also, these simulations can show where mistakes in workflow might occur, but without the risks of real production. The aim of the proposed approach is to reduce the global shortage of skilled workers in robotics by offering training that is easier to access and closer to real-world practice. This method allows repetition of procedures at low cost, gives quick feedback, and helps students manage complex information more easily which differs from traditional teaching methods. The framework is flexible and can be tested within academic courses that follow educational standards. It also sets the stage for future work, including issues of ethics, technology, and law in robotics training, as well as the design of custom systems for more advanced learning.

Keywords: Immersive Learning, Virtual Reality, Extended Reality, Artificial Intelligence, Robotic Education.

Acknowledgments. The underpinning project content inspiring this study is submitted for funding to MASTER 2nd open call for cascade funding. MASTER is a project co-funded by the European Union. Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or European Commission. Neither the European Union nor the granting authority can be held responsible for them.

 

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Izvor: Proceedings of the 16th International Conference on e-Learning (ELEARNING2025)