1. Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021
- Author
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Emre Kazim and Muhammad Ali Chaudhry
- 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 - 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.
- Published
- 2021