Document Type
Conference Proceeding
Publication Date
2011
Publication Title
Proceedings of the 1st International Conference on Learning Analytics and Knowledge
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.
Included in
Curriculum and Instruction Commons, Higher Education Commons, Online and Distance Education Commons
Comments
Available at ACM Digital Library via
http://dl.acm.org/citation.cfm?id=2090139&dl=ACM&coll=DL