Introduction to data mining for educational researchers
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(Published version)
Date
2016
Authors
Brooks, C.A.
Thompson, C.
Kovanovic, V.
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Conference paper
Citation
ACM International Conference Proceeding, 2016, vol.25-29-April-2016, pp.505-506
Statement of Responsibility
Conference Name
6th International Conference on learning analytics and knowledge, LAK 2016 (25 Apr 2016 - 29 Apr 2016 : Edinburgh, UK)
Abstract
The goal of this tutorial is to share data mining tools and techniques used by computer scientists with educational social scientists. We broadly define educational social scientists as being made up of people with backgrounds in the learning sciences, cognitive psychology, and educational research. The learning analytics community is heavily populated with researchers of these backgrounds, and we believe those that find themselves at the intersection of research, theory, and practice have a particular interest in expanding their knowledge of datadriven tools and techniques.
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Copyright 2016 ACM
Access Condition Notes: Accepted manuscript is available open access