DocumentCode
1104
Title
Intelligent Performance Assessment of Students´ Laboratory Work in a Virtual Electronic Laboratory Environment
Author
Achumba, I.E. ; Azzi, D. ; Dunn, V.L. ; Chukwudebe, G.A.
Author_Institution
Electron. & Comput. Eng. Dept., Univ. of Portsmouth, Portsmouth, UK
Volume
6
Issue
2
fYear
2013
fDate
April-June 2013
Firstpage
103
Lastpage
116
Abstract
Laboratory work is critical in undergraduate engineering courses. It is used to integrate theory and practice. This demands that laboratory activities are synchronized with lectures to maximize their derivable learning outcomes, which are measurable through assessment. The typical high costs of the traditional engineering laboratory, which often militate against the synchronization of laboratory activities and lectures, have catalyzed the increased adoption of virtual laboratories in engineering laboratory education. The principles of assessment in the virtual learning environment are essentially the same as in the traditional learning environment, with the same requirements for fairness, reliability, and validity. This motivated the incorporation, in a Virtual Electronic Laboratory (VEL) environment, of a Bayesian network-based tool for the performance assessment of students´ laboratory work in the environment. This paper details a description of the assessment tool, its verification, evaluation (as an assessment tool within the VEL environment), and application processes.
Keywords
belief networks; computer aided instruction; engineering education; further education; performance evaluation; student experiments; Bayesian network-based tool; VEL environment; engineering laboratory education; intelligent performance assessment; laboratory activity lecture synchronization; performance assessment tool; student laboratory work; undergraduate engineering courses; virtual electronic laboratory environment; virtual learning environment; Bayesian methods; Computer network reliability; Educational institutions; Laboratories; Reliability; Synchronization; Bayesian methods; Bayesian networks; Computer network reliability; Educational institutions; Laboratories; Reliability; Synchronization; laboratory work; performance assessment; sensitivity analysis; validation and reliability; virtual laboratory;
fLanguage
English
Journal_Title
Learning Technologies, IEEE Transactions on
Publisher
ieee
ISSN
1939-1382
Type
jour
DOI
10.1109/TLT.2013.1
Filename
6407129
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