AI for Learning

AI for Learning examines how artificial intelligence can, and should, positively impact human learning, whether it be in formal or informal educational and training contexts. The notion of ‘can’ is bound up with ongoing technological developments. The notion of ‘should’ is bound up with an ethical stance that recognises the complementary capabilities of human and artificial intelligence, as well as the objectives of doing good, not doing harm, increasing justice and maintaining fairness. The book considers the different supporting roles that can help a learner – from AI as a tutor and learning aid to AI as a classroom moderator, among others – and examines both the opportunities and risks associated with each.

Table of Contents

1 How Do I Tell the Difference between Good AI and Bad?: Or – About Our Five-Step Evaluation of Cake Mixes

2 AI as a Learner: How Can AI Help Me Learn Things That I Did Not Understand Before?

3 AI as a Tutor: How Can AI Tutor Me about Stuff?

4 AI as a Classroom Moderator: How Can AI Give Me Eyes in the Back of My Head?

5 Conclusion: So, Are We Friends Now?

About the Authors

Carmel Kent is Head of Educational Data Science at EDUCATE and former Senior Research Fellow at University College London.

Benedict du Boulay is Emeritus Professor of Artificial Intelligence at Sussex University and Visiting Professor at University College London.