 | AI for Learning Subjects: Computer Science; Engineering & Technology; Education; Politics & International Relations; Artificial Intelligence; Computation; Computer Science (General); Legal Ethical & Social Aspects of IT; Public Administration & Management; Electrical & Electronic Engineering; Curriculum Studies; Cognitive Artificial Intelligence.; Human Computer Intelligence; Machine Learning - Design; Neural Networks; Robotics; Social Aspects of Computing & IT; Human Computer Interaction; Technology in Education; Electrical Engineering Communications; What is artificial intelligence (AI)? How can AI help a learner, a teacher or a system designer? What are the positive impacts of AI on human 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. 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. |
