Work

Automatic essay grading using text categorization techniques

Year: 1998

Type: conference-paper

Abstract: Several standard text-categorization techniques were applied to the problem of automated essay grading.Bayesian independence classifiers and knearest-neighbor classifiers were trained to assign scores to manually-graded essays.These scores were combined with several other summary text measures using linear regression.The classifiers and regression equations were then applied to a new set of essays.The classifiers worked very well.The agreement between the automated grader and the final manual grade was as good as the agreement between human graders.

Source: International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI: 10.1145/290941.290965

Author: Leah S. Larkey

Institution: University of Massachusetts Amherst

Language: English

Topic: Educational Technology and Assessment

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Commerce

Award: State/University Cooperative Research Center for IntelligentInformation Retrieval