AI and Digital Learning in Education and Research Training
A special issue of Education Sciences (ISSN 2227-7102).
Deadline for manuscript submissions: 1 June 2024 | Viewed by 514
Special Issue Editors
Interests: artificial intelligence; machine learning and adaptive intelligent systems; limited and big data modelling; Industry 4.0 and Education 4.0
Special Issues, Collections and Topics in MDPI journals
Interests: advanced composites manufacturing; Industry 5.0; immersive technology applications; multidisciplinary training
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, one of the biggest challenges for highly specialized education and training, both in academia and industry, is the time and cost required to create well-rounded courses, customized learning and feedback tools, manual task processes, along with hands-on tutorials with expensive facilities. Artificial Intelligence (AI) and digital learning, on the other hand, have begun to show great potential to address these challenges for more innovate and cost-effective teaching and training practices, and accelerate our collective progress toward sustainable educational development. Educators are now using AI and digital learning tools, e.g., to spot struggling students early in the term and provide suitable actions to ensure their success and retention. Similarly, researchers and industry specialists are accelerating their adaptation of digital learning tools to unlock new discoveries and insights towards new processes at an unprecedented pace.
This Special Issue aims to be a leading peer-reviewed platform for both research case studies and review papers in areas including, but not limited to, virtual learning, virtual labs, extended reality, augmented reality, virtual reality and mixed reality as a combination of the real-world and computer-generated components in an interactive representation. Articles that address the applications of AI, machine learning, and immersive design tools in creating smart teaching and training content, automation tasks, teaching the teacher, identifying classroom weakness and 24/7 assistance, are among those of interest.
We look forward to receiving your high-quality contributions towards this fascinating emerging area of education and research.
Dr. Hamid Khayyam
Prof. Dr. Abbas S. Milani
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 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. 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
- AI-based education
- machine learning in education
- virtual labs
- augmented reality
- virtual reality
- mixed reality
- Education 5.0
- Industry 5.0
