Synthetic Governance: On the Impossibility of Taming Artificial Intelligence in Education

2021 ◽  
Vol 4 (12) ◽  
Author(s):  
Kalervo N. Gulson ◽  
Sam Sellar ◽  
P. Taylor Webb
Keyword(s):  
Artificial Intelligence ◽  
Politics Of Education ◽  
Paper Briefly ◽  
Education Governance ◽  
New Politics ◽  
Artificial Intelligence In Education

This paper claims it is impossible to tame Artificial Intelligence in education. The paper is not advocating that AI should be used in an unfettered way in education. Rather, the paper suggests that despite ongoing policy attempts to regulate AI, these policy moves are unlikely to succeed due to a synthesis of machines and humans in education governance. The paper briefly outlines attempts to tame AI, and proposes that rather than considering taming AI, a new politics of education may be necessary.

Machine Learning in Agriculture

2018 ◽  
Vol 8 (6) ◽  
pp. 26 ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Chandra M. M Kotteti ◽  
Sarhan M. Musa
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Disease Diagnosis ◽  
Automated Detection ◽  
Disease Prediction ◽  
Paper Briefly ◽  
Agriculture Sector ◽  
Modern Agriculture ◽  
Crop Disease

Machine learning is an emerging field of artificial intelligence which can be applied to the agriculture sector. It refers to the automated detection of meaningful patterns in a given data.  Modern agriculture seeks ways to conserve water, use nutrients and energy more efficiently, and adapt to climate change.  Machine learning in agriculture allows for more accurate disease diagnosis and crop disease prediction. This paper briefly introduces what machine learning can do in the agriculture sector.

scholarly journals Artificial Intelligence in education: Using heart rate variability (HRV) as a biomarker to assess emotions objectively

2021 ◽  
Vol 2 ◽  
pp. 100011
Author(s):  
Joanne Wai Yee Chung ◽  
Henry Chi Fuk So ◽  
Marcy Ming Tak Choi ◽  
Vincent Chun Man Yan ◽  
Thomas Kwok Shing Wong
Keyword(s):  
Artificial Intelligence ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Artificial Intelligence In Education

scholarly journals Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021

AI and Ethics ◽  
2021 ◽  
Author(s):  
Muhammad Ali Chaudhry ◽  
Emre Kazim
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Tutoring Systems ◽  
Policy Makers ◽  
Tutoring Systems ◽  
Research And Practice ◽  
The Past ◽  
Artificial Intelligence In Education ◽  
Potential Impact ◽  
High Level ◽  
Contextualized Learning

AbstractIn 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.

Artificial Intelligence in Education (AIEd): from Applied Problems of Informatization to Studying a Topic in a Computer Science Course

2021 ◽  
pp. 10-24
Author(s):  
N. Samylkina ◽  
A. Salahova
Keyword(s):  
Artificial Intelligence ◽  
General Education ◽  
Computer Science ◽  
Educational Tools ◽  
Artificial Intelligence In Education ◽  
School Computer

The article provides an overview of two main possibilities of using artificial intelligence in education: as new educational tools and as the development of the theoretical and practical foundations of artificial intelligence in the school computer science course. A comparison of approaches to the use in education and the study of artificial intelligence issues at the level of secondary general education in different countries is given. The development of the topic at all levels of general education is considered.

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