Abstract
This paper describes and evaluates CONSPECT, a service that analyses states in a learner’s conceptual development. CONSPECT combines two technologies – Latent Semantic Analysis (LSA) and Network Analysis (NA) into a technique called Meaningful Interaction Analysis (MIA). It uses LSA for the language analysis and NA to provide visualisations of the semantic relatedness information calculated by LSA. CONSPECT was designed to help both learners and tutors monitor conceptual development. This paper reports on the verification activities undertaken to show how well LSA matches humans in clustering similar concepts. The verification used the edit distance between card sorts to quantitatively evaluate the service.
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Wild, F., Haley, D., Bülow, K. (2010). CONSPECT: Monitoring Conceptual Development. In: Luo, X., Spaniol, M., Wang, L., Li, Q., Nejdl, W., Zhang, W. (eds) Advances in Web-Based Learning – ICWL 2010. ICWL 2010. Lecture Notes in Computer Science, vol 6483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17407-0_31
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DOI: https://doi.org/10.1007/978-3-642-17407-0_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17406-3
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