Wild, Fridolin; Haley, Debra and Bülow, Katja
Using latent-semantic analysis and network analysis for monitoring conceptual development.
Journal for Language Technology and Computational Linguistics, 26(1) pp. 9–21.
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This paper describes and evaluates CONSPECT (from concept inspection), an application that analyses states in a learner’s conceptual development. It was designed to help online learners and their tutors monitor conceptual development and also to help reduce the workload of tutors monitoring 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). LSA analyses the meaning in the textual digital traces left behind by learners in their learning journey; NA provides the analytic instrument to investigate (visually) the semantic structures identiﬁed by LSA. This paper describes the validation activities undertaken to show how well LSA matches ﬁrst year medical students in 1) grouping similar concepts and 2) annotating text.
||Gesellschaft für Sprachtechnologie & Computerlinguistik (GSCL)
|External Project Funding Details:
|Funded Project Name||Project ID||Funding Body|
|Not Set||Not Set||LTfLL |
||Knowledge Media Institute
|Interdisciplinary Research Centre:
||Centre for Research in Computing (CRC)
||29 Nov 2011 17:14
||25 Oct 2012 21:33
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