ERIC Number: EJ773582
Record Type: Journal
Publication Date: 2003
Pages: 18
Abstractor: Author
ISBN: N/A
ISSN: ISSN-0735-6331
EISSN: N/A
Essay Assessment with Latent Semantic Analysis
Miller, Tristan
Journal of Educational Computing Research, v29 n4 p495-512 2003
Latent semantic analysis (LSA) is an automated, statistical technique for comparing the semantic similarity of words or documents. In this article, I examine the application of LSA to automated essay scoring. I compare LSA methods to earlier statistical methods for assessing essay quality, and critically review contemporary essay-scoring systems built on LSA, including the "Intelligent Essay Assessor," "Summary Street," "State the Essence," "Apex," and "Select-a-Kibitzer." Finally, I discuss current avenues of research, including LSA's application to computer-measured readability assessment and to automatic summarization of student essays. (Contains 2 figures and 6 footnotes.)
Descriptors: Semantics, Test Scoring Machines, Essays, Semantic Differential, Comparative Analysis, Methods Research, Evaluation Methods, Writing Evaluation, Writing Research, Computer Assisted Testing, Program Descriptions, Program Implementation
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A