- C. Rosé, Dragan Gaesevic, P. Dillenbourg, Yohan Jo, Gaurav Tomar, Oliver Ferschke, G. Erkens, A. V. Leeuwen, J. Janssen, Mieke Brekelmans, J. Tan, Elizabeth Koh, Imelda S. Caleon, C. Jonathan, Simon Yang. 2016. Analytics of Social Processes in Learning Contexts: a Multi-level Perspective. Abstract: In the past two decades, the field of Machine Learning has not only greatly expanded in terms of the plethora of increasingly powerful modeling frameworks it has provided, but has also birthed the applied fields of Educational Data Mining and Learning Analytics. Learning Analytics has blossomed as an area in the Learning Sciences, promising impact for various stakeholders working at different educational levels, such as Instructional Designers, Students, Instructors, Policymakers and Administrators. This symposium offers a taste of cutting edge work across each of these levels, with a common emphasis on analytics applied to social processes.
