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Virtual Reality-Based Training System for Autonomous Learning
This special issue belongs to the section “Computing and Artificial Intelligence“.
Special Issue Information
Dear Colleagues,
Virtual reality-based training systems for autonomous learning represent a revolutionary innovation in education. These immersive technologies create simulated environments that enable students to explore and learn independently, adapting to their own pace. Real-time interactivity and 3D visualization optimize understanding and the retention of complex concepts, while gamification increases motivation and engagement. This approach not only personalizes the learning experience, but also democratizes access to specialized training environments, reducing the costs and risks associated with traditional training, and instant feedback and virtual hands-on experiences foster more efficient and effective learning. Moreover, the versatility of this technology makes it applicable in diverse fields, from formal education to vocational training in complex industries, promising to fundamentally transform how we acquire and apply new knowledge and skills.
Researchers are invited to present their most recent findings and results in the form of full papers or reviews on the subject of virtual reality-based training systems for autonomous learning. Topics of interest include, but are not limited to, the design and development of immersive virtual environments, the evaluation of their effectiveness in autonomous learning, the characterization of the user experience (interactivity, sensory immersion, and cognitive engagement), and/or their application in various fields such as higher education, vocational education, industrial training, and medical skills acquisition. This Special Issue also welcomes articles related to the integration of complementary technologies such as artificial intelligence, adaptive learning, and educational data analytics in virtual reality systems, as well as studies on the psychological and pedagogical impact of these technologies on the learning process.
Dr. Pablo Fernández-Arias
Dr. Diego Vergara
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- virtual realty
- training
- autonomous learning
- self-learning
- inmersive learning
- autonomous exploration
- efficient learning
- engagement and motivation

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