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Using latent-semantic analysis and network analysis for monitoring conceptual development

Wild, Fridolin; Haley, Debra and Bülow, Katja (2011). 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.

Item Type: Journal Item
Copyright Holders: Gesellschaft für Sprachtechnologie & Computerlinguistik (GSCL)
ISSN: 0175-1336
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetLTfLL [212578]
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 30052
Depositing User: Kay Dave
Date Deposited: 29 Nov 2011 17:14
Last Modified: 07 Dec 2018 16:15
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