Title :
GLSA based online essay grading system
Author :
Ratna, Anak Agung Putri ; Artajaya, Henry ; Adhi, Boma Anantasatya
Author_Institution :
Electr. Eng. Dept., Univ. of Indonesia, Depok, Indonesia
Abstract :
Document representation as Generalized Latent Semantic Analysis (GLSA) vectors were claimed to give performance improvement on several task such as synonymy test, document classification, and clustering compared to traditional Latent Semantic Analysis (LSA) based systems, however GLSA performance has never been tested on automated essay grading system. This experiment propose an GLSA based automatic essay grading system design that will be used to examine the effect of GLSA implementation on automated essay grading system and to evaluate its performance compared to LSA based system.
Keywords :
document handling; pattern classification; pattern clustering; vectors; GLSA based online essay grading system; GLSA performance testing; GLSA vectors; document classification; document clustering; document representation; generalized latent semantic analysis vectors; performance improvement; synonymy test; Conferences; Educational institutions; Matrix decomposition; Semantics; Vectors; Vocabulary; GLSA; essay grading system;
Conference_Titel :
Teaching, Assessment and Learning for Engineering (TALE), 2013 IEEE International Conference on
Conference_Location :
Bali
DOI :
10.1109/TALE.2013.6654461
