MDPI Education Sciences Journal
Special Issue "Digital Twins and Future Intelligent Educational Environments"
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Scopus CiteScore (2020): 2.1, Journal Citation Indicator (JCI) (2020): 1.03
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Dear Colleagues,

Digital twins are becoming a key component of digital transformation in multiple areas.
They are built on the concept that it is possible to connect the physical world to a virtual representation of it— they are twins. Digital twins allow us to model and visualise outcomes before they happen, enabling better-informed decision making, improved safety and increased productivity and collaboration.

In education, they have been used to enhance intelligent learning environments, allowing physical learning spaces to be augmented with multiple capabilities towards creating personalised learning, virtual labs, smart classrooms and intelligent campuses. Digital twins could help us shape expert systems to identify knowledge gaps and customise education objectives.

Digital twins are a confluence of several different technologies rather than a technology in and of itself. One of the challenges is seamlessly integrating technology to create practical learning experiences and foster participation, collaboration, creativity, and engagement. Achieving this goal requires a wealth of knowledge that spans many topics, including ubiquitous computing, artificial intelligence, the learning sciences, immersive technologies, and human-computer interactions.

This Special Issue aims to showcase research papers, reviews of research studies and technical reports about innovative research on digital twins and future intelligent educational environments, uncovering and discussing emerging trends and technologies, sound research and best practices.

This includes (but does not limits its focus to) smart campus and classrooms, virtual labs, immersive intelligent environments and multidimensional spaces, wearable technology, virtual, augmented and mixed reality for education, context-aware computing in educational settings, machine learning and analytics in assessment, multi-modal learning environments, adaptive recommender learning technology, intelligent tutoring systems, collaboration and social computing in education, non-leisure games and gamification.

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Guest Editors
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Dr. Anasol Peña-Rios, BT Research Labs, UK
Dr. Wulfrano Arturo Luna-Ramirez, Universidad Autonoma Metropolitana, Mexico
Dr. Emmanuel Ferreyra-Olivares, Fujitsu Research of Europe, UK

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Manuscript Submission Information
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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 papers will be 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 double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Education Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript.

https://www.mdpi.com/journal/education/special_issues/education_enviroment

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Keywords
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- Digital twins
- intelligent environments
- ambient intelligence
- artificial intelligence
- learning analytics
- virtual reality, augmented reality, mixed reality
- pervasive computing
- technology-enhanced learning
- smart classrooms
- machine learning