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Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021
- Source :
- AI and Ethics
- Publication Year :
- 2021
- Publisher :
- Springer International Publishing, 2021.
-
Abstract
- In the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.
- Subjects :
- 2019-20 coronavirus outbreak
Learning science
Fairness
Coronavirus disease 2019 (COVID-19)
Energy Engineering and Power Technology
02 engineering and technology
Management Science and Operations Research
Education
Artificial Intelligence in Education (AIEd)
Intelligent Tutoring Systems (ITS)
Artificial Intelligence
Machine learning
0202 electrical engineering, electronic engineering, information engineering
Sociology
Dimension (data warehouse)
Original Research
Potential impact
business.industry
Mechanical Engineering
05 social sciences
Digital transformation
050301 education
Workload
Learning sciences
Audience measurement
020201 artificial intelligence & image processing
Ethical AI
Artificial intelligence
business
0503 education
Subjects
Details
- Language :
- English
- ISSN :
- 27305961 and 27305953
- Database :
- OpenAIRE
- Journal :
- AI and Ethics
- Accession number :
- edsair.doi.dedup.....873e85d8db88ef062294fbade194d019