Automated essay grading: an evaluation of four conceptual models

Automated essay grading has been proposed for over thirty years. Only recently have practical implementations been constructed and tested. This paper describes the theoretical models for four implemented system described in the literature, and evaluates their strengths and weaknesses. All four model...

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Main Author: Williams, Robert
Format: Book Chapter
Published: Centre for Educational Advancement, Curtin University 2001
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/11929
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author Williams, Robert
author_facet Williams, Robert
author_sort Williams, Robert
building Curtin Institutional Repository
collection Online Access
description Automated essay grading has been proposed for over thirty years. Only recently have practical implementations been constructed and tested. This paper describes the theoretical models for four implemented system described in the literature, and evaluates their strengths and weaknesses. All four models make use of comparisons with one or many model answer documents that have been previously assessed by human markers. One hybrid system that makes use of some linguistic features, combined with document characteristics, is shown to be a practical solution at present. Another system that makes use of primarily linguistics features is also shown to be effective. An implementation that ignores linguistic and document features, and operates on the ?bag of words? approach, is then discussed. Finally an approach using text categorisation techniques is considered.
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spelling curtin-20.500.11937-119292017-01-30T11:27:38Z Automated essay grading: an evaluation of four conceptual models Williams, Robert Linguistic Features Automated Essay Grading Automated essay grading has been proposed for over thirty years. Only recently have practical implementations been constructed and tested. This paper describes the theoretical models for four implemented system described in the literature, and evaluates their strengths and weaknesses. All four models make use of comparisons with one or many model answer documents that have been previously assessed by human markers. One hybrid system that makes use of some linguistic features, combined with document characteristics, is shown to be a practical solution at present. Another system that makes use of primarily linguistics features is also shown to be effective. An implementation that ignores linguistic and document features, and operates on the ?bag of words? approach, is then discussed. Finally an approach using text categorisation techniques is considered. 2001 Book Chapter http://hdl.handle.net/20.500.11937/11929 Centre for Educational Advancement, Curtin University fulltext
spellingShingle Linguistic Features
Automated Essay Grading
Williams, Robert
Automated essay grading: an evaluation of four conceptual models
title Automated essay grading: an evaluation of four conceptual models
title_full Automated essay grading: an evaluation of four conceptual models
title_fullStr Automated essay grading: an evaluation of four conceptual models
title_full_unstemmed Automated essay grading: an evaluation of four conceptual models
title_short Automated essay grading: an evaluation of four conceptual models
title_sort automated essay grading: an evaluation of four conceptual models
topic Linguistic Features
Automated Essay Grading
url http://hdl.handle.net/20.500.11937/11929