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Intelligent Systems and Technology for Education Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Education and Approaches".

Deadline for manuscript submissions: closed (15 March 2024) | Viewed by 1461

Special Issue Editors


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Guest Editor
Wollongong Joint Institute, Huazhong Normal University, Wuhan, China
Interests: intelligent educational technology; artificial intelligence in research and education; educational robotics; multimedia analysis; computer vision; machine learning; virtual reality
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
National Institute of Information and Communications Technology (NICT), Tokyo, Japan
Interests: educational data mining; intelligent tutoring system; learning analytics; artificial intelligence in education; user modeling; adaptive learning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Artificial Intelligence in Education, Central China Normal University, NO.152 Luoyu Road, Wuhan 430079, China
Interests: intelligent educational technology; artificial intelligence in education; computer vision; deep learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

technology has evolved into the stage of the intelligence education. The target of intelligence education is to use intelligent education systems to improve education effectiveness to support the sustainability of educational technology. The high effectiveness of the use of technology in education is one important aspect for supporting the sustainable development of society.  Hence, we propose a Special Issue that focuses on systems and technology for improving the intelligence level and the effectiveness of education.  This Special Issue welcomes papers on developing core algorithms, platforms, application systems, and comprehensive evaluation for supporting the teaching and learning in K12 and university education.

Potential topics include, but are not limited to, the following:

  • Algorithms for problem solving, knowledge mining, knowledge tracing, and learning diagnosis;
  • Algorithms for teaching and learning analysis;
  • Platforms and systems for various education activities;
  • Research on acceptance and effectiveness of intelligent educational technology;
  • AI used in intelligent education;
  • Metaverse education.

Prof. Dr. Xinguo Yu
Dr. Wenbin Gan
Dr. Xiaopan Lyu
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. Sustainability 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

  • intelligent education
  • algorithm
  • platform
  • system
  • metaverse
  • acceptance
  • effectiveness

Published Papers (1 paper)

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Research

17 pages, 732 KiB  
Article
Blended Learning Delivery Methods for a Sustainable Learning Environment: A Delphi Study
by Ali Saleh Alammary
Sustainability 2024, 16(8), 3269; https://doi.org/10.3390/su16083269 - 14 Apr 2024
Viewed by 709
Abstract
The outbreak of COVID-19 necessitated social distancing. Universities around the world were left with two options: a total suspension or a major reduction in students’ attendance. While the nature of many courses made it very difficult to teach them online, blended learning was [...] Read more.
The outbreak of COVID-19 necessitated social distancing. Universities around the world were left with two options: a total suspension or a major reduction in students’ attendance. While the nature of many courses made it very difficult to teach them online, blended learning was the most suitable approach to teach these types of courses. Academics and educational institutions have realized the significance of blended learning not only as a response to immediate disruptions but also as a pivotal element in fostering a sustainable learning environment. However, designing successful blended learning courses requires making challenging decisions regarding the selection of the most appropriate delivery methods to achieve learning outcomes. To support higher education adoption of blended learning, this study identifies and rates the importance of the delivery methods that need consideration when designing a blended learning course. The aim is to assist academics to prioritize their delivery options and provide adaptable and resilient educational models. A Delphi study of two rounds was conducted to identify and rate the delivery methods. An expert panel of 19 academics with extensive experience in course design and online delivery was recruited. The findings indicate that online collaborative work and face-to-face collaborative work should be academics’ first delivery choices. Interestingly, face-to-face instructor-led learning was at the bottom of the list and rated well below all the other delivery methods. Full article
(This article belongs to the Special Issue Intelligent Systems and Technology for Education Sustainability)
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