The use of electronic voting systems to enhance deep learning.

Barreto, Daniel

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.

Citation

Barreto, D. (2012). The use of electronic voting systems to enhance deep learning. In B. McCabe, M. Pantazidou, & D. Phillips (Eds.), 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

• 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• Peer Reviewed: Not Peer Reviewed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