2.50
Hdl Handle:
http://hdl.handle.net/2436/3630
Title:
A computer-aided environment for construction of multiple-choice tests
Authors:
Mitkov, Ruslan; Ha, Le An; Bernardes, Jon
Abstract:
Multiple 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.
Citation:
CELT Learning and Teaching Projects 2004/05
Publisher:
University of Wolverhampton
Issue Date:
2005
URI:
http://hdl.handle.net/2436/3630
Type:
Book chapter
Language:
en
Description:
Report of a CELT project on enhancing learning and teaching through innovation and research
ISBN:
0954211642
Appears in Collections:
Institute for Learning Enhancement (ILE); Computational Linguistics Group; Languages and Linguistics; Computational Linguistics Group

Full metadata record

DC FieldValue Language
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 2004/05en
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 researchen
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.en
dc.format.extent165416 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherUniversity of Wolverhamptonen
dc.subjectMultiple-choice testsen
dc.subjectNatural language processingen
dc.subjectAssessmenten
dc.titleA computer-aided environment for construction of multiple-choice testsen
dc.typeBook chapteren
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