Collection
AI-empowered Education and Training
- Submission status
- Closed
During the last two decades, profound technological changes have taken place around us, supported by disruptive advances both on the software and hardware sides. While the boundaries between different disciplines are eroding with ensuing convergence, a thorough discussion on what engineering education should be like in the future is necessary and timely. Artificial intelligence is expected to play a major role in the future of engineering applications, including education and education technologies. For example, due to the rapid technological advances, the upskilling/reskilling of the current workforce has become an important issue for both the employer and the employee. With its recent human-in-the-loop capabilities, AI provides excellent opportunities to achieve the goal very rapidly and adaptively according to the cognitive level of the trainee(s). If we consider the upskilling of pilots as an example, the hardware, the software, and the courseware used in flight simulators (at the age of metaverse, may be in the form of VR) can adaptively be changed according to the existing knowledge and experience level and the learning speed of the trainee, as determined by BCIs (brain-computer-interfaces), body sensors and cameras. With bi-directional BCI, it may even be possible to identify hidden skills. These thoughts are the motivation behind the decision for the curation of this topical collection.
Topics of Interest
The scope of the collection will cover but not be limited to:
- Artificial Intelligence (DL, ML and RL) in education
- Big Data and Data Analytics in education
- Blockchain technology in education
- Immersive (VR, AR, MR and ER) technologies in education
- Robotic Process Automation as an operation mode
- Personalized learning using AI
- AI-enabled re-skilling and upskilling
Keywords
- Artificial Intelligence (DL, ML and RL) in education
- Immersive technologies in education
- Big Data and Data Analytics in education
Editors
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Okyay Kaynak
Prof. Okyay Kaynak, Bogazici University, Turkey He received a Ph.D. degree from the University of Birmingham, U.K., in 1972. From 1972 to 1979, he held various positions in the industry. In 1979, he joined Bogazici University, Istanbul, Turkey, where he is currently a Professor Emeritus, holding the UNESCO Chair on Mechatronics. He has held long-term (near to or more than a year) Visiting Professor/Scholar positions at various institutions in Japan, Germany, USA, Singapore, and China. His current research interests are in the fields of intelligent control and mechatronics.
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Kerry J. Kennedy
Prof. Kerry J. Kennedy, The Education University of Hong Kong, China He is a graduate of Stanford University. He has worked in Australian universities, but since 2001 has worked at The Education University of Hong Kong. He is also a Distinguished Visiting Professor at the University of Johannesburg. He is the Series Editor for Springer’s Civic and Citizenship Education in the 21st Century Series, a Fellow of the Australian College of Educators, and a Life Member of the Australian Curriculum Studies Association.
Articles (5 in this collection)
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MetaEdu: a new framework for future education
Authors (first, second and last of 4)
- LuoBin Cui
- ChengZhang Zhu
- Ying Tang
- Content type: Research
- Open Access
- Published: 20 March 2023
- Discover Artificial Intelligence
- Article: 10
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The threat, hype, and promise of artificial intelligence in education
Authors
- Niklas Humble
- Peter Mozelius
- Content type: Research
- Open Access
- Published: 10 November 2022
- Discover Artificial Intelligence
- Article: 22
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Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions: a bibliometrics analysis and recommendation for future research
Authors (first, second and last of 4)
- André Ullrich
- Gergana Vladova
- André Renz
- Content type: Research
- Open Access
- Published: 05 September 2022
- Discover Artificial Intelligence
- Article: 16
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Lost in machine translation: The promises and pitfalls of machine translation for multilingual group work in global health education
Authors (first, second and last of 7)
- David C. Hill
- Christy Gombay
- Emma Z. L. Richardson
- Content type: Brief Communication
- Open Access
- Published: 16 May 2022
- Discover Education
- Article: 3