Transformative Approaches in Education: Harnessing AI, Augmented Reality, and Virtual Reality for Innovative Teaching and Learning

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 604

Special Issue Editor


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Guest Editor
Department of Preschool Education, Faculty of Education, University of Crete, 741 00 Crete, Greece
Interests: technology-enhanced learning; game-based learning; educational robotics; computational thinking; coding; STEM; machine learning; artificial intelligence
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Special Issue Information

Dear Colleagues,

The landscape of education is evolving rapidly, driven by technological advancements, innovative pedagogical strategies, and the transformative potential of artificial intelligence (AI). This Special Issue will explore cutting-edge approaches in education, emphasizing the role of immersive technologies, such as augmented reality (AR) and virtual reality (VR), alongside AI-driven tools, in enhancing teaching and learning experiences.

We invite submissions that investigate the integration of immersive technologies and AI within various educational contexts, examining their potential to personalize learning, foster engagement, and address equity challenges. Topics of interest include, but are not limited to, the following:

  • Curriculum design for immersive and AI-enhanced environments;
  • The development of AR/VR and AI-powered educational tools;
  • Effective training for educators in utilizing immersive and AI technologies;
  • The impact of these technologies on cultivating 21st-century skills;
  • Ethical considerations and challenges in implementing AI in education;
  • AI-driven adaptive learning systems and their role in personalized education;
  • Synergies between AI, AR, and VR in creating holistic learning experiences.

We welcome contributions from researchers, educators, and practitioners focused on the intersection of technology and education, particularly those exploring the integration of AI with immersive technologies. We encourage articles that provide evidence-based insights, interdisciplinary approaches, and practical implications for educators. By sharing diverse perspectives, this Special Issue will enhance our understanding of how AI and immersive technologies can be effectively harnessed to drive meaningful and inclusive educational transformation.

Dr. Stamatios Papadakis
Guest Editor

Manuscript Submission Information

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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. Computers is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • artificial intelligence (AI)
  • augmented reality (AR)
  • virtual reality (VR)
  • immersive learning
  • educational technology
  • personalized learning
  • student engagement
  • 21st-century skills
  • curriculum design
  • technology integration
  • interactive learning environments
  • digital learning tools
  • transformative education
  • evidence-based practices
  • teacher training
  • innovative pedagogy
  • educational outcomes
  • cross-disciplinary approaches
  • learning experience design
  • gamification

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Published Papers (1 paper)

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Research

25 pages, 3963 KiB  
Article
Students Collaboratively Prompting ChatGPT
by Maria Perifanou and Anastasios A. Economides
Computers 2025, 14(5), 156; https://doi.org/10.3390/computers14050156 - 22 Apr 2025
Viewed by 336
Abstract
This study investigated how undergraduate students collaborated when working with ChatGPT and what teamwork approaches they used, focusing on students’ preferences, conflict resolution, reliance on AI-generated content, and perceived learning outcomes. In a course on the Applications of Information Systems, 153 undergraduate students [...] Read more.
This study investigated how undergraduate students collaborated when working with ChatGPT and what teamwork approaches they used, focusing on students’ preferences, conflict resolution, reliance on AI-generated content, and perceived learning outcomes. In a course on the Applications of Information Systems, 153 undergraduate students were organized into teams of 3. Team members worked together to create a report and a presentation on a specific data mining technique, exploiting ChatGPT, internet resources, and class materials. The findings revealed no strong preference for a single collaborative mode, though Modes #2, #4, and #5 were marginally favored due to clearer structures, role clarity, or increased individual autonomy. Students reasonably encountered initial disagreements (averaging 30.44%), which were eventually resolved—indicating constructive debates that improve critical thinking. Data also showed that students moderately modified ChatGPT’s responses (50% on average) and based nearly half (44%) of their overall output on AI-generated content, suggesting a balanced yet varied level of reliance on AI. Notably, a statistically significant relationship emerged between students’ perceived learning and actual performance, implying that self-assessment can complement objective academic measures. Students also employed a diverse mix of communication tools, from synchronous (phone calls) to asynchronous (Instagram) and collaborative platforms (Google Drive), valuing their ease of use but facing scheduling, technical, and engagement issues. Overall, these results reveal the need for flexible collaborative patterns, more supportive AI use policies, and versatile communication methods so that educators can apply collaborative learning effectively and maintain academic integrity. Full article
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