This interdisciplinary journal aims to increase knowledge and understanding of ways in which learning analytics (LA) and artificial intelligence (AI) can support and enhance education.
This volume provides a contemporary glance at the drastically expanding field of delivering large-scale education to unprecedented numbers of learners. It compiles papers presented at the CELDA (Cognition and Exploratory Learning in the Digital Age) conference.
By Simon Buckingham Shum on May 4th, 2019.
A heads-up that three collections will hit the streets this year focused on how we can design so that human needs and values are well and truly centre-stage in educational tools powered by data, analytics and AI.
S. Pohl, F. Radlinski, and T. Joachims. Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries, page 417--418. New York, NY, USA, ACM, (2007)