Advanced Learning Platform Integrating AR/VR, AI and Voice Command Technologies for Innovative Educational Experiences
This research presents the procedures for designing and implementing a sophisticated learning management system capable of employing augmented reality (AR), virtual reality (VR), artificial intelligence (AI), and voice command technologies to create immersive educational experiences. The developed platform responds to the increasing need for personalized and interactive learning environments that engage students more deeply than traditional methods. With AR and VR, the platform expands the possibilities of visual and experimental learning as students interact with the material not only hands-on but also in a more engaging and three-dimensional way. AI algorithms module the users according to their performance and behaviours, allowing them to change content delivery instantaneously, while voice command technology broadens the audience as there is no contact needed to operate devices. The research investigates the ability of the platform to enhance both physically attending the class and online class activities by providing appropriate feedback, visual performance and video control, respectively. The study's preliminary results show that learning with these technologies improves comprehension and retention while encouraging active participation. This paper also discusses the concepts behind the software's design and the encompassing pedagogical strategies to ensure the successful implementation of the technology in classrooms. Future research directions are presented toward addressing how these technologies improve learning temporal metrics and their application across various scenarios in education.
Authors
- Siddhant Prakash
- M. H. Zaheer
- Jobandeep Singh
- Mandeep Kaur (ORCID: https://orcid.org/0000-0002-0659-0991)
- D.K. Sinha
- Sandeep Chouhan
Institutions
- Lovely Professional University (IN)
Publication Details
- Published
- 2025-03-04
- DOI
- https://doi.org/10.1109/autocom64127.2025.10957150
- Citations
- 3
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 3.83