e-assessment using latent semantic analysis in the computer science domain

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2004Publisher:Association for Computational Linguistics (ACL)Journal:Proceedings of the Workshop on eLearning for Computational Linguistics and Computational Linguistics for eLearning - eLearn '04

Authors: Pete Thomas; Debra Haley; Anne deRoeck; Marian Petre;

doi: 10.3115/1610028.1610034

e-assessment using latent semantic analysis in the computer science domain

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Abstract

Latent Semantic Analysis (LSA) is a statistical Natural Language Processing (NLP) technique for inferring meaning from a text. Existing LSA-based applications focus on formative assessment in general domains. The suitability of LSA for summative assessment in the domain of computer science is not well known. The results from the pilot study reported in this paper encourage us to pursue further research in the use of LSA in the narrow, technical domain of computer science. This paper explains the theory behind LSA, describes some existing LSA applications, and presents some results using LSA for automatic marking of short essays for a graduate class in architectures of computing systems.

Related Organizations

The Open University
United Kingdom

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