Dragan Gasevic is Professor of Learning Analytics in the Faculty of Information Technology at Monash University since Feb 2018. Previously, he was a Professor and Sir Tim O'Shea Chair in Learning Analytics and Informatics in the Moray House School of Education and the School of Informatics at the University of Edinburgh from Feb 2015 to Feb 2018. He also was the Canada Research Chair in Semantic and Learning Technologies and a Professor in the School of Computing and Information Systems at Athabasca University from Jan 2007 to Feb 2015. He is a co-founder and served the President (2015-2017) of the Society for Learning Analytics Research. He holds several honorary appointements including an Honorary Professor in the Moray House School of Education and the School of Informatics at the University of Edinburgh, an Adjunct Professor in the School of Interactive Arts and Technology at Simon Fraser University, Adjunct Professor in the School of Education at the University of South Australia, a Research Scientist in the LINK Research Lab at the University of Texas, Arlington, Adjunct Professor in the Centre for Distance Education at Athabasca University, and a Distinguished Professor in the Institute for Research in Open and Innovative Education at the Open University of Hong Kong. A computer scientist by training and skills, Dragan considers himself a learning analyst developing computational methods that can shape next-generation learningtechnologies and advance our understanding of information seeking, sense-making, and self-regulated and social learning. Funded by granting agencies and industry in Australia, Canada, Europe, and USA, Dragan is a recipient of several best paper awards at the major international conferences in learning and software technology. The award-winning work of his team on the LOCO-Analytics software is considered one of the pioneering contributions in the growing area of learning analytics. Recently, he has founded ProSolo Technologies Inc that develops a software solution for tracking, evaluating, and recognizing competences gained through self-directed learning and social interactions. 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 in 2011 and 2012 and the general chair in 2016 as well as a founding program co-chair of the Learning Analytics Summer Institute in 2013 and 2014. He also served as a founding editor of the Journal of Learning Analytics (2012-2017) and is a (co-)author of numerous research papers and books and a frequent keynote speaker.

The unprecedented opportunities to collect data about learning and contexts in which learning occurs has attracted much attention in education. The use of data analytics and machine learning methods have offered much promise to address many relevant questions in education. This talk will focus on the prospects to use of learning analytics for assessment. The talk will outline the types of data commonly used in learning analytics to measure different skills. The talk will also discuss approaches that are used for analysis and modelling of relevant learning processes. The talk will then outline the ways how learning analytics can be used to track learning progression and how validity of the findings with data analytics can be assured. The talk will use examples from several empirical studies that looked at self-regulated learning, learning strategy, problem solving in solo and group activities, and second language learning.