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The use of electronic voting systems to enhance deep learning.

Barreto, Daniel

Authors



Contributors

Bryan McCabe
Editor

Marina Pantazidou
Editor

Declan Phillips
Editor

Abstract

The present paper introduces a technology-enhanced teaching method that promotes deep learning.
Four stages that correspond to four different student cohorts were used for its development and to analyse
its effectiveness. The effectiveness of the method has been assessed in terms of examination results as well as
results obtained from class response system software statistics. The evidence gathered indicates that the method
developed is very effective and its implementation is straightforward. Furthermore, its success in achieving
results seems to be independent of the skills and/or experience of the lecturer.

Presentation Conference Type Conference Paper (Published)
Start Date Jul 4, 2012
End Date Jul 6, 2012
Publication Date Jun 12, 2012
Deposit Date Jun 9, 2016
Publisher CRC Press
Peer Reviewed Not Peer Reviewed
Book Title Shaking the Foundations of Geo-engineering Education - proceedings of the international conference Shaking the Foundations of Geo-engineering Education (NUI Galway, Ireland, 4-6 July 2012
ISBN 978041562127
Keywords Technology-enhanced teaching methods; deep learning; electronic voting systems;
Public URL http://researchrepository.napier.ac.uk/id/eprint/10105