DocumentCode
2713304
Title
Optimal Mix for Blended Delivery of Power Engineering Programme at the University of East London
Author
Hosny, W.
Author_Institution
Univ. of East London
Volume
3
fYear
2006
fDate
6-8 Sept. 2006
Firstpage
1107
Lastpage
1110
Abstract
In the present paper an investigation has been carried out at the Department of Electrical and Electronic Engineering, School of Computing and Technology, University of East London (UEL) in order to predict the optimal mix for traditional and online delivery of the power engineering programme to yield an effective blended delivery. The effectiveness of delivery is established via conformation to three quality indicators which are put forward by the quality assurance agency (QAA) in England. This conformation to quality is perceived from the perspective of the academic staff delivering this programme and the students studying on this programme. The investigation was carried out by surveying the staff and the students and collating their responses. It has been revealed that the ratio of the staff that preferred traditional delivery to online delivery for conformation to quality is 2:1. Students´ responses indicated that they mostly prefer traditional delivery method. However, their preference varied according to the level of the programme and to the modules delivered. Results disclosing the optimal mix are included and commented
Keywords
computer aided instruction; power engineering education; quality assurance; England; QAA; optimal mix; power engineering programme blended delivery; quality assurance agency; quality indicators; Feedback; Paper technology; Power engineering; Power engineering and energy; Power engineering computing; Power engineering education; Quality assurance; Blended Delivery; Optimal Mix of Traditional and Online Delivery; Power Engineering Education;
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference, 2006. UPEC '06. Proceedings of the 41st International
Conference_Location
Newcastle-upon-Tyne
Print_ISBN
978-186135-342-9
Type
conf
DOI
10.1109/UPEC.2006.367648
Filename
4218856
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