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The Learning Grid and E-Assessment using Latent Semantic Analysis

Haley, Debra; Nuseibeh, Bashar; Thomas, Pete; Taylor, Josie and Lefrere, Paul (2005). The Learning Grid and E-Assessment using Latent Semantic Analysis. In: Ritrovato, P.; Allison, C.; Cerri, S.; Dimitrakos, T.; Gaeta, M. and Salerno, S. eds. Towards the Learning Grid. Advances in Human Learning Services. Frontiers in Artificial Intelligence and Applications, Volume. Amsterdam, Holland: IOS Press.

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Abstract

E-assessment is an important component of e-learning and e-qualification. Formative and summative assessment serve different purposes and both types of evaluation are critical to the pedagogicalprocess. While students are studying, practicing, working, or revising, formative assessment provides direction, focus, and guidance. Summative assessment provides the means to evaluate a learner's achievement and communicate that achievement to interested parties. Latent Semantic Analysis (LSA) is a statistical method for inferring meaning from a text. Applications based on LSA exist that provide both summative and formative assessment of a learner's work. However, the huge computational needs are a major problem with this promising technique. This paper explains how LSA works, describes the breadth of existing applications using LSA, explains how LSA is particularly suited to e-assessment, and proposes research to exploit the potential computational power of the Grid to overcome one of LSA's drawbacks.

Item Type: Book Chapter
ISBN: 1-58603-534-7, 978-1-58603-534-1
Keywords: GRID; LSA; latent semantic analysis; e-assessment; assessment
Academic Unit/Department: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Institute of Educational Technology
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Centre for Policing Research and Learning (CPRL)
Item ID: 5170
Depositing User: Josie Taylor
Date Deposited: 28 Jul 2006
Last Modified: 05 Oct 2016 09:36
URI: http://oro.open.ac.uk/id/eprint/5170
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