Generating predictive models of learner community dynamics

Authors:
Chris Teplovs;Nobuko Fujita;Ravi Vatrapu
Affiliations:
University of Toronto and Copenhagen Business School;University of Toronto and Copenhagen Business School;Copenhagen Business School
Venue:
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
Year:
2011

Citing 3
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Abstract

In this paper we present a framework for learner modelling that combines latent semantic analysis and social network analysis of online discourse. The framework is supported by newly developed software, known as the Knowledge, Interaction, and Social Student Modelling Explorer (KISSME), that employs highly interactive visualizations of content-aware interactions among learners. Our goal is to develop, use and refine KISSME to generate and test predictive models of learner interactions to optimise learning.