Web Based Automated Essay Grading System Using LSA Method for Indonesian Language with Most Important Word
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Putri Ratna, A.A. (2006). Web Based Automated Essay Grading System Using LSA Method for Indonesian Language with Most Important Word. In E. Pearson & P. Bohman (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2006 (pp. 115-120). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/23003.
Conference Information
World Conference on Educational Multimedia, Hypermedia and Telecommunications (EDMEDIA) 2006
June 2006
ISBN 1-880094-60-6
Elaine Pearson & Paul Bohman
AACE
More Information on EDMEDIA
Table of Contents
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Abstract
In the e-learning system, there are online grading system and automated grading system. One of automated grading system is automated essay grading. The methods used in automated essay grading system nowadays are still under research because they need to follow some specific rules. Some of the methods are Natural Language Processing, Statistical Approach, Bayesian Text Classification, and Latent Semantic Analysis (Valenti et al, 2003) One of grading methods, i.e. Latent Semantic Analysis (LSA), which uses matrix algebra to compare expected answer and student's essay answer (Landauer et al, 1998). Our experiments have already achieved 82% agreement with human raters, which using Indonesian Language (Anak Agung et al, 2005) In this paper, we are using the LSA technique for Web Based Automated Essay Grading for Indonesian Language (Bahasa) with MIW and achieve 82 - 95% agreement with Human Raters with matching word.
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