Title: Learning analytics as a "middle space"
Authors: Suthers, Dan
Verbert, Katrien #
Issue Date: Apr-2013
Publisher: ACM
Host Document: LAK '13 Proceedings of the Third International Conference on Learning Analytics and Knowledge pages:1-4
Conference: Third International Conference on Learning Analytics and Knowledge
Abstract: Learning Analytics, an emerging field concerned with an- alyzing the vast data “given off” by learners in technology supported settings to inform educational theory and prac- tice, has from its inception taken a multidisciplinary ap- proach that integrates studies of learning with technological capabilities. In this introduction to the Proceedings of the Third International Learning Analytics & Knowledge Con- ference, we discuss how Learning Analytics must function in the “middle space” where learning and analytic concerns meet. Dialogue in this middle space involves diverse stake- holders from multiple disciplines with various conceptions of the agency and nature of learning. We hold that a sin- gularly unified field is not possible nor even desirable if we are to leverage the potential of this diversity, but progress is possible if we support “productive multivocality” between the diverse voices involved, facilitated by appropriate use of boundary objects. We summarize the submitted papers and contents of these Proceedings to characterize the voices and topics involved in the multivocal discourse of Learning Analytics.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Non-KU Leuven Association publications
# (joint) last author

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