This third conference on learning analytics will be designed to bring the many voices involved in leveraging the availability of data about learning with powerful computational, representational and visualization techniques into dialogue in a “middle space” under the overarching theme of “Dialectics in Learning Analytics”.
The first two conferences have established the range of issues and approaches of concern in leveraging the availability of data about learning with powerful computational, representational and visualization techniques. This third conference will be designed to consolidate the field by bringing these many voices into dialogue in a “middle space” under the overarching theme of “Dialectics in Learning Analytics,” which has these facets:
The Middle Space: The conference will explore the “middle space” within which Learning and Analytics intersect, and seeks proposals for papers and events that explicitly connect analytic tools to theoretical and practical aspects of understanding and managing learning.
Productive Multivocality: Learning analytics is multidisciplinary, drawing on theories and methods from diverse research traditions. Our community includes educators, learning scientists, computer scientists, administrators, and policy makers, among others. The middle space serves as a topical “boundary object”, enabling productive discourse between these many voices.
The Old and the New: We are facing a centuries old problem: to improve learning, but we are trying to solve it using a new set of tools, not available before. We address these problems in the city of Leuven: centuries old, lively new.