Recent Advances in Computer-Assisted Learning (2nd Edition)

A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "AI-Driven Innovations".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 1270

Special Issue Editor


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Guest Editor
School of Information Technology, Deakin University, Waurn Ponds, VIC 3216, Australia
Interests: industrial internet of things; algorithms; web programming; instrumentation; data mining; engineering education
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Special Issue Information

Dear Colleagues,

The integration of advanced technologies into education is driving a profound transformation in teaching and learning practices across all levels. From the ubiquity of personal computers and mobile devices to the rise of generative AI, machine learning, mixed reality, and cloud computing, today's educational landscape is rapidly evolving. These technologies are no longer limited to information storage or automated assessments—they are now enabling intelligent, responsive, and personalized learning environments.

This Special Issue aims to explore the multifaceted dimensions of AI-supported and technology-enhanced learning, focusing on how emerging tools such as generative AI, augmented and virtual reality, and mobile computing are reshaping educational experiences both inside and outside traditional institutions. We seek contributions that present case studies, innovative applications, theoretical frameworks, and practical insights in smart learning environments that can adapt to individual learners, provide real-time feedback, monitor academic integrity, and promote continuous engagement.

Topics of interest include, but are not limited to, the following:

  • Computer-assisted blended learning;
  • Applications of artificial intelligence to education;
  • Impact of large language models on learning and assessments;
  • Adaptive learning systems;
  • Gamification in education;
  • Virtual and augmented reality in education;
  • Mobile learning;
  • Collaborative learning platforms;
  • Smart classroom technologies;
  • Cloud-based learning environments;
  • Wearable technology for learning.

We welcome submissions that investigate the pedagogical, ethical, and technological challenges and opportunities posed by these developments, aiming to understand their impact on educational outcomes and the future of teaching.

Dr. Ananda Maiti
Guest Editor

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. Computers is an international peer-reviewed open access monthly 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 1800 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

  • e-learning
  • learning analytics
  • artificial intelligence
  • pedagogy design
  • learning management systems
  • online education
  • gamification
  • large language models
  • software engineering

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Related Special Issue

Published Papers (2 papers)

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Research

27 pages, 18541 KB  
Article
Integrating Design Thinking Approach and Simulation Tools in Smart Building Systems Education: A Case Study on Computer-Assisted Learning for Master’s Students
by Andrzej Ożadowicz
Computers 2025, 14(9), 379; https://doi.org/10.3390/computers14090379 - 9 Sep 2025
Viewed by 397
Abstract
The rapid development of smart home and building technologies requires educational methods that facilitate the integration of theoretical knowledge with practical, system-level design skills. Computer-assisted tools play a crucial role in this process by enabling students to experiment with complex Internet of Things [...] Read more.
The rapid development of smart home and building technologies requires educational methods that facilitate the integration of theoretical knowledge with practical, system-level design skills. Computer-assisted tools play a crucial role in this process by enabling students to experiment with complex Internet of Things (IoT) and building automation ecosystems in a risk-free, iterative environment. This paper proposes a pedagogical framework that integrates simulation-based prototyping with collaborative and spatial design tools, supported by elements of design thinking and blended learning. The approach was implemented in a master’s-level Smart Building Systems course, to engage students in interdisciplinary projects where virtual modeling, digital collaboration, and contextualized spatial design were combined to develop user-oriented smart space concepts. Analysis of project outcomes and student feedback indicated that the use of simulation and visualization platforms may enhance technical competencies, creativity, and engagement. The proposed framework contributes to engineering education by demonstrating how computer-assisted environments can effectively support practice-oriented, user-centered learning. Its modular and scalable structure makes it applicable across IoT- and automation-focused curricula, aligning academic training with the hybrid workflows of contemporary engineering practice. Concurrently, areas for enhancement and modification were identified to optimize support for group and creative student work. Full article
(This article belongs to the Special Issue Recent Advances in Computer-Assisted Learning (2nd Edition))
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18 pages, 1660 KB  
Article
AI Gem: Context-Aware Transformer Agents as Digital Twin Tutors for Adaptive Learning
by Attila Kovari
Computers 2025, 14(9), 367; https://doi.org/10.3390/computers14090367 - 2 Sep 2025
Viewed by 493
Abstract
Recent developments in large language models allow for real time, context-aware tutoring. AI Gem, presented in this article, is a layered architecture that integrates personalization, adaptive feedback, and curricular alignment into transformer based tutoring agents. The architecture combines retrieval augmented generation, Bayesian learner [...] Read more.
Recent developments in large language models allow for real time, context-aware tutoring. AI Gem, presented in this article, is a layered architecture that integrates personalization, adaptive feedback, and curricular alignment into transformer based tutoring agents. The architecture combines retrieval augmented generation, Bayesian learner model, and policy-based dialog in a verifiable and deployable software stack. The opportunities are scalable tutoring, multimodal interaction, and augmentation of teachers through content tools and analytics. Risks are factual errors, bias, over reliance, latency, cost, and privacy. The paper positions AI Gem as a design framework with testable hypotheses. A scenario-based walkthrough and new diagrams assign each learner step to the ten layers. Governance guidance covers data privacy across jurisdictions and operation in resource constrained environments. Full article
(This article belongs to the Special Issue Recent Advances in Computer-Assisted Learning (2nd Edition))
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