• AI and the Human in Education

    AI and the Human in Education


Artificial Intelligence (AI) brings enormous potential for addressing the world’s greatest challenges. At the same time, it poses significant risk to humanity. Current AI technologies already have significant capabilities: they can recognise and predict objects, speech and emotions; they can analyse scenes and different languages; and they can plan, build and suggest solutions. In the not too distant future, AI could predict any multi-sensory and multi-dimensional patterns and make automated decisions impacting billions of lives.

There are complex social, moral and ethical issues in applying AI to education. The articles in this special feature offer diverse perspectives on adjusting to a new order in which big data are used to determine and direct educational paths, triaging learners accordingly. Some of the articles focus on the more dangerous aspects of incorporating intelligence into educational systems, and the subsequent re-engineering of those systems, Others emphasise the significant societal benefits. Together, they highlight an imperative: that the time and resources saved by automation should be turned to enriching and developing what it means to be human, including rewarding mechanisms to express our most essential qualities of altruism, vocation and collective social endeavour. 

Publication date: From March 2020 - February 2021.



Guest Editor

Sandra Leaton GrayAssociate Professor of Education, UCL Institute of Education, UCL, UK.
Natalia KucirkovaProfessor of Early Childhood and Development, University of Stavanger, Norway.



Article list 


Editorial


AI and the human in education: Editorial

Sandra Leaton Gray and Natalia Kucirkova

2021-03-17 Volume 19 • Issue 1 • 2021

Also a part of:

Special feature: AI and the Human in Education

Research article


Digital literacies and children’s personalized books: Locating the ‘self’

Natalia Kucirkova and Margaret Mackey

2020-07-21 Volume 18 • Issue 2 • 2020 • 151–162

Also a part of:

Special feature: AI and the Human in Education

Can artificial intelligence help predict a learner’s needs? Lessons from predicting student satisfaction

Dimitris Parapadakis

2020-07-21 Volume 18 • Issue 2 • 2020 • 178–195

Also a part of:

Special feature: AI and the Human in Education

New digital laboratories of experimental knowledge production: Artificial intelligence and education research

Ben Williamson

2020-07-21 Volume 18 • Issue 2 • 2020 • 209–220

Also a part of:

Special feature: AI and the Human in Education

The role and challenges of education for responsible AI

Virginia Dignum

2021-01-13 Volume 19 • Issue 1 • 2021

Also a part of:

Special feature: AI and the Human in Education

Artificial intelligence in schools: Towards a democratic future

Sandra Leaton Gray

2020-07-21 Volume 18 • Issue 2 • 2020 • 163–177

Also a part of:

Special feature: AI and the Human in Education

Artificial intelligence and the technological turn of public education privatization: In defence of democratic education

Kenneth J. Saltman

2020-07-21 Volume 18 • Issue 2 • 2020 • 196–208

Also a part of:

Special feature: AI and the Human in Education

The use of AI in education: Practicalities and ethical considerations

Michael J. Reiss

2021-02-03 Volume 19 • Issue 1 • 2021

Also a part of:

Special feature: AI and the Human in Education

Rise of the machines? The evolving role of AI technologies in high-stakes assessment

Mary Richardson and Rose Clesham

2021-03-10 Volume 19 • Issue 1 • 2021

Also a part of:

Special feature: AI and the Human in Education