DocumentCode
2030046
Title
Framework for integrating outcome-based assessment in online assessment: Research in progress
Author
Alhazmi, Abdulsalam K. ; Zafar, Hasnain ; Al-Hammadi, Fatima
Author_Institution
Univ. Technol. Malaysia (UTM), Johor Bahru, Malaysia
fYear
2015
fDate
28-30 July 2015
Firstpage
217
Lastpage
221
Abstract
The use of online examination in place of paper-based assessment has attracted a plethora of attention from educators and researchers alike. The reason for this stems from the advantages of online examinations, such as effectiveness, objectiveness, and flexibility. However, creating valid and reliable examinations remains a challenge. Often used as a framework for educational assessments, bloom´s taxonomy greatly influences the formulation of course outcomes and examination questions. An ideal examination should consist of set of well-aligned questions that extensively meet all the course outcomes and correspond to the different levels of Bloom´s taxonomy. Moodle is a popular widespread open source Learning Management System (LMS) that can be used to create examination questions. However, it is lacking in its reporting mechanisms that enables the classification of various questions based on the course outcomes and Bloom´s Taxonomy. The objective of this paper is to propose and describe a framework to integrate outcome-based assessment into LMS. This alignment is significant in order to ensure high quality examination assessment as well as to help teachers develop a balanced examination that encompasses all the course outcomes and different levels of Bloom´s taxonomy.
Keywords
learning management systems; Bloom taxonomy; course outcomes; educational assessment; examination questions; learning management system; online assessment; online examination; open source LMS; outcome-based assessment; paper-based assessment; Electronic learning; Least squares approximations; Prototypes; Taxonomy; Testing; Blooms´ Taxonomy; E-Assessment; LMS; Online assessment; outcome-based assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Information Conference (SAI), 2015
Conference_Location
London
Type
conf
DOI
10.1109/SAI.2015.7237147
Filename
7237147
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