How do we get there? Steps towards systemic adoption of learning analytics

Date

2016-10-21

Speaker

Dragan Gašević

Abstract

The analysis of data collected from user interactions with educational and information technology has attracted much attention as a promising approach to advancing our understanding of the learning process. This promise motivated the emergence of the field of learning analytics and pushed the education sector towards increased application of data for strategic decision-making. This talk will address a commonly posed question asked by many embarking on learning analytics – how do we start systemic learning analytics adoption? The talk will first define learning analytics and touch on lessons learned from some well-known case studies. The talk will then review the current state of institutional adoption of learning analytics by examining evidence produced in several studies conducted worldwide. The talk will next outline directions for learning analytics adoption that should enable for a system-wide institutional transformation. The talk will conclude with a summary of critical challenges that require attention in order for learning analytics to make a long-term impact on research and practice of learning and teaching. The talk will emphasize that learning analytics cannot be reduced to a simplistic rhetoric of quick technological fixes. Rather, learning analytics advocates for holistic approaches that account for and support complexities associated with specific characteristics of different educational systems and institutions.

Slides

Vídeo

Author's biography

Dragan Gašević

Dragan Gašević is a Professor and Chair in Learning Analytics and Informatics in the Moray House School of Education and the School of Informatics at the University of Edinburgh. He is the current president and a co-founder of the Society for Learning Analytics Research (SoLAR) and holds several honorary adjunct appointments in Australia, Canada, and USA. A computer scientist by training and skills, Dragan considers himself a learning analyst who develops computational methods that can shape next-generation learning technologies and advance our understanding of self-regulated and social learning. Funded by granting agencies and industry in Canada, Australia, Europe, and USA, Dragan is a recipient of several best paper awards at the major international conferences in learning and software technology. Committed to the development of international research community, Dragan had a pleasure to serve as a founding program co-chair of the International Conference on Learning Analytics & Knowledge (LAK) in 2011 and 2012 and the Learning Analytics Summer Institute in 2013 and 2014, and general chair of LAK’16. Currently serving as a founding editor of the Journal of Learning Analytics, Dragan is a (co-)author of numerous research papers and books and a frequent keynote speaker.

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