The Digital Transformation of Education: Trends, Technologies, and Responsible Innovation
A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "AI-Driven Innovations".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 681
Special Issue Editors
Interests: social media; digital pedagogy; information society; artificial intelligence in education
Interests: mobile P2P; wireless networks; software engineering; applied artificial intelligence
Interests: image processing in interdisciplinary applications; applied artificial intelligence
Interests: neural networks; cognitive modeling; machine learning; learning difficulties; synthetic data generation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computing education and software engineering education are undergoing a rapid transformation, driven by emerging technologies, evolving pedagogical models, and the increasing integration of artificial intelligence (AI) in learning environments. This Special Issue aims to explore innovative research, practices, and tools that are shaping the future of education in computer science and software development.
We invite original research articles, reviews, and case studies that address current challenges in modern education, including curriculum development, assessment techniques, and the integration of industry demands. Of particular interest are contributions that focus on the impact of AI—especially large language models (LLMs)—on teaching and learning, including intelligent tutoring systems, code generation, and automated feedback mechanisms. The Issue also welcomes innovative proposals and discussions on responsible design and deployment of AI-driven educational technologies, with attention to data privacy and user trust and other similar topics.
Submissions exploring cutting-edge solutions such as augmented/virtual/mixed reality (AR/VR/XR), gamified learning platforms, adaptive learning environments, modern software development practices, and the use of cloud or edge computing in educational software are highly encouraged. We also welcome interdisciplinary approaches and applied research that bridges education, software engineering, and AI, fostering a holistic view of the next generation of computing education.
Dr. Zoltán Szűts
Dr. Péter Ekler
Dr. Kristóf Csorba
Dr. Bertalan Forstner
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. 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
- computing education
- software engineering education
- artificial intelligence in education
- large language models
- intelligent tutoring systems
- AR/VR/XR in education
- innovative EdTech solutions
- data privacy in EdTech
- responsible educational technology
- digital transformation in learning
- adaptive learning technologies
- gamification in computer science education
- digital pedagogy
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