State of the art in thinking about machine learning: Implications for education

Article de colloque


État de publication: publié

Titre des actes: Learners and learning contexts: New alignments for the digital age: Report of EDUsummIT2019

Éditeur: Université Laval


Résumé: In this paper we examine how machine learning will have implications both for how people learn in the future and for what learners and teachers need to know about machine learning. Furthermore, we consider the implications for education policy. We start by considering definitions and characterisations of machine learning (ML) and its relationship to artificial intelligence (AI). We then focus on: mapping current applications and examining possible future developments for the next 5- 10 years; emerging ethical frameworks; and finally, specific policy, practice and research recommendations for educational contexts.