PRE-PROCESSED LATENT SEMANTIC ANALYSIS FOR AUTOMATIC ESSAY GRADING

In education, essay is considered as the best tool to evaluate student’s high order thinking and understanding. In the other hand, manual processing and grading essay answers by a teacher need much time and tending to subjectivity grading. Meanwhile automatic essay grading in e-learning system find...

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Bibliographic Details
Published inJurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi Vol. 8; no. 4; p. 175
Main Authors Febrita, Ruth Ema, Mahmudy, Wayan Firdaus
Format Journal Article
LanguageEnglish
Published Informatics Department, Engineering Faculty 13.10.2017
Subjects
Automatic Grading
Essay Grading
Latent Semantic Analysis
preprocessed LSA
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Summary:In education, essay is considered as the best tool to evaluate student’s high order thinking and understanding. In the other hand, manual processing and grading essay answers by a teacher need much time and tending to subjectivity grading. Meanwhile automatic essay grading in e-learning system find the difficulties in comparing model or key answer to student’s answer because student’s can answer the question with so various way. That means a right answer also can be so various, for they have same semantic meaning. This paper proposed automatic essay grading using Latent Semantic Analysis. But before the texts being scored, they will be pre-processed using stop words removal and synonyms checking. Calibration process implemented for dealing with the various possible right answer and help to simplify the term matrix. Implementation of this approach using Java Programming Language and WordNet as lexical database for searching the synonyms of every given words. The accuracy obtained by this method is 54.9289%.
ISSN:0216-0544
2301-6914
DOI:10.28961/kursor.v8i4.110