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.

URL: http://media.dwds.de/jlcl/2011_Heft1/2.pdf

Abstract

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.

Viewing alternatives

Item Actions

Export

You can export this page using these formats

About

• Item ORO ID
• 30052
• Item Type
• Journal Item
• ISSN
• 0175-1336
• Project Funding Details

• Funded Project Name	Project ID	Funding Body
  Not Set	Not Set	LTfLL [212578]

• Academic Unit or School
• Institute of Educational Technology (IET)
  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)
• Copyright Holders
• © Gesellschaft für Sprachtechnologie & Computerlinguistik (GSCL)
• Depositing User
• Kay Dave