A Framework for Automatic Exam Generation based on Intended Learning Outcomes

A. Amria, Ahmed Ewais, R. Hodrob

Onderzoeksoutput: Conference paper

6 Citaten (Scopus)

Samenvatting

Assessment plays important role in learning process in higher education institutions. However, poorly designed exams can fail to achieve the intended learning outcomes of a specific course, which can also have a bad impact on the programs and educational institutes. One of the possible solutions is to standardize the exams based on educational taxonomies. However, this is not an easy process for educators. With the recent technologies, the assessment approaches have been improved by automatically generating exams based on educational taxonomies. This paper presents a framework that allow educators to map questions to intended learning outcomes based on bloom’s taxonomy. Furthermore, it elaborates on the principles and requirements for generating exams automatically. It also report on a prototype implementation of an authoring tool for generating exams to evaluate the achievements of intended learning outcomes.
Originele taal-2English
TitelCSEDU 2018 - Proceedings of the 10th International Conference on Computer Supported Education
SubtitelCSEDU
RedacteurenSusan Zvacek, James Uhomoibhi, Bruce M. McLaren, Rob Reilly
Pagina's474-480
Aantal pagina's7
Volume1
ISBN van elektronische versie9789897582912
StatusPublished - 1 jan 2018
Evenement10th International Conference on Computer Supported Education - Funchal, Madeira, Portugal
Duur: 15 mrt 201817 mrt 2018
http://www.csedu.org/?y=2018

Conference

Conference10th International Conference on Computer Supported Education
Verkorte titelCSEDU
Land/RegioPortugal
StadFunchal, Madeira
Periode15/03/1817/03/18
Internet adres

Vingerafdruk

Duik in de onderzoeksthema's van 'A Framework for Automatic Exam Generation based on Intended Learning Outcomes'. Samen vormen ze een unieke vingerafdruk.

Citeer dit