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dc.contributor.authorMitkov, Ruslan
dc.contributor.authorHa, Le An
dc.contributor.authorBernardes, Jon
dc.date.accessioned2006-08-01T10:20:29Z
dc.date.available2006-08-01T10:20:29Z
dc.date.issued2005
dc.identifier.citationCELT Learning and Teaching Projects 2004/05
dc.identifier.isbn0954211642
dc.identifier.urihttp://hdl.handle.net/2436/3630
dc.descriptionReport of a CELT project on enhancing learning and teaching through innovation and research
dc.description.abstractMultiple choice tests have proved to be an efficient tool for measuring students' achievement and are used on a daily basis both for assessment and diagnostics worldwide. The objective of this project was to provide and alternative to the lengthy and demanding activity of developing multiple-choice tests and propose a new Natural Language Processing (NLP) based approach to generate tests from instructional texts (textbooks, encyclopaedias). Work on the pilot project has shown that the semi-automatic procedure is up to 3.8 times quicker than a completely manual one.
dc.format.extent165416 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherUniversity of Wolverhampton
dc.subjectMultiple-choice tests
dc.subjectNatural language processing
dc.subjectAssessment
dc.titleA computer-aided environment for construction of multiple-choice tests
dc.typeChapter in book
refterms.dateFOA2018-08-21T11:42:16Z
html.description.abstractMultiple choice tests have proved to be an efficient tool for measuring students' achievement and are used on a daily basis both for assessment and diagnostics worldwide. The objective of this project was to provide and alternative to the lengthy and demanding activity of developing multiple-choice tests and propose a new Natural Language Processing (NLP) based approach to generate tests from instructional texts (textbooks, encyclopaedias). Work on the pilot project has shown that the semi-automatic procedure is up to 3.8 times quicker than a completely manual one.


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