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Other ORP type . 2007
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Using information and communication technologies to support deep learning in a third-level on-campus programme: A case study of the taught Master of Arts in E-Learning Design and Development at the University of Limerick

appsOther research productkeyboard_double_arrow_right Other ORP type 01 Jan 2007Embargo end date: 07 Aug 2025 English Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Authors: Slattery, Darina M.;

doi: 10.34961/researchrepository-ul.28054139

Using information and communication technologies to support deep learning in a third-level on-campus programme: A case study of the taught Master of Arts in E-Learning Design and Development at the University of Limerick

Abstract

This paper explores how Information and Communication Technologies (ICTs) were used to support deep learning in some of the modules on the Master of Arts in E- Learning Design and Development at the University of Limerick. This paper describes how the author used ICTs, as well as online teaching and learning theories, to improve the learning experience for on-campus students undertaking certain Project-Based Learning (PBL) activities. Examples of students' online Computer-Mediated Communication (CMC) postings, as well as extracts from online reflective journals and written reports, show how a sample of former students benefited from using ICTs.

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Keywords

online collaboration, project-based learning, deep learning, communication and culture, online teaching and learning, (4) Quality Education, computer-mediated communication, communities of inquiry, Language

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average