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Virtual Reality-Based Training System for Autonomous Learning

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 10 June 2025 | Viewed by 1621

Special Issue Editors


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Guest Editor
Technology, Instruction and Design in Engineering and Education Research Group (TiDEE.rg), Catholic University of Ávila, 05005 Ávila, Spain
Interests: machine learning; virtual reality; deep learning; collaborative learning; active learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Technology, Instruction and Design in Engineering and Education Research Group (TiDEE.rg), Catholic University of Ávila, 05005 Ávila, Spain
Interests: mechanical behavior of materials; failure analysis; fracture; materials; microstructure; fractography; mechanical engineering; materials engineering; tensile testing; corrosion; mechanical properties; metals; material characterization; materials testing; energy efficiency; hydrogen; serious games; virtual reality; gamification; active learning; finite element method; engineering design; mechanical testing; fracture mechanics; hydrogen embrittlement
Special Issues, Collections and Topics in MDPI journals

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 100 words) can be sent to the Editorial Office for announcement on this website.

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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Published Papers (1 paper)

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Review

23 pages, 4047 KiB  
Review
Augmented Reality, Virtual Reality, and Intelligent Tutoring Systems in Education and Training: A Systematic Literature Review
by Georgios Lampropoulos
Appl. Sci. 2025, 15(6), 3223; https://doi.org/10.3390/app15063223 - 15 Mar 2025
Viewed by 1354
Abstract
Given the advancements in artificial intelligence and extended reality technologies, this study aims to examine the integration of intelligent tutoring systems into augmented reality and virtual reality environments through a systematic literature review. Following the PRISMA framework, 32 related theoretical, showcase, and case [...] Read more.
Given the advancements in artificial intelligence and extended reality technologies, this study aims to examine the integration of intelligent tutoring systems into augmented reality and virtual reality environments through a systematic literature review. Following the PRISMA framework, 32 related theoretical, showcase, and case studies published during the period of 2015–2024 are examined. Based on the results, this combination of technologies emerged as an effective educational means that can support both students and teachers, promote lifelong learning, and support face-to-face, blended, and online learning across educational levels and in the workplace. These systems offered immersive, realistic, and interactive learning environments and personalized learning experiences. Additionally, they could identify, monitor, and analyze students’ characteristics, performance, preferences, and motivational, cognitive, and psychological states. These systems could also adapt the learning content, resources, activities, and assessment according to students’ needs and make suitable recommendations. Their ability to offer tailored and real-time feedback, guidance, analytics, and evaluation was highlighted. Additionally, it was revealed that these systems offer meaningful learning experiences and enhance cognitive, affective, psychomotor, and embodied learning through self-directed learning, collaborative learning, personalized learning, and experiential learning approaches. Regarding learning benefits, students who learnt using this combination demonstrated increased engagement, motivation, confidence, immersion, and enjoyment. The students also reported better learning outcomes and academic performance, enhanced knowledge and skills, and improved information understanding and recall. This study also presents the main topics and areas examined, goes over the existing challenges, and suggests future research directions. Finally, the study emphasizes the importance of capitalizing on both human intelligence and machine intelligence to support students, meet their needs, and provide them with quality education and lifelong learning opportunities. Full article
(This article belongs to the Special Issue Virtual Reality-Based Training System for Autonomous Learning)
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