Socio-Dynamic Latent Semantic Learner Models

Part of the Computer-Supported Collaborative Learning Series book series (CULS, volume 15)


In this chapter 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 interactions and semantic similarity among learners. Our goal is to develop, use and refine KISSME to generate and test predictive models of learner interactions to optimise learning.


Semantic Similarity Social Network Analysis Latent Semantic Analysis Knowledge Forum Reading Event 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Problemshift, Inc.WindsorCanada
  2. 2.University of WindsorWindsorCanada

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