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A computer game modelling routing in computer networks as abstract learning material in a blended learning environment

A computer game modelling routing in computer networks as abstract learning material in a blended learning environment

Graven, Olaf Hallan, Hansen, Hallstein Asheim and MacKinnon, Lachlan (2009) A computer game modelling routing in computer networks as abstract learning material in a blended learning environment. International Journal of Emerging Technologies in Learning, 4. pp. 18-22. ISSN 1863-0383 (doi:10.3991/ijet.v4s3.1081)

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Abstract

We use routing in computer networks as an experiment to determine the viability of using a computer game specifically designed to incorporate abstract learning materials as part of a blended learning environment. Routing is the process of determining a data packet’s path trough a network. The students participating in the experiment play a short computer game where the word is a network modelled as a labyrinth. The conclusion we draw from the experiment is that overall the students felt that they learned just as much from this as from a traditional lecture/lab, but that they enjoyed this more.

Item Type: Article
Additional Information: [1] First published: 2009. [2] Published as: International Journal of Emerging Technologies in Learning, (2009), Vol. 4 - Special Issue: ICL2009. [3] This Special Focus Paper was modified from a presentation at the International Conference of Interactive Computer Aided Learning ICL2009, September 2009 in Villach, Austria. Submitted 06 October 2009. Published as resubmitted by the authors on 2 November 2009. [4] International Journal of Emerging Technologies in Learning (iJET) is an Open Access Journal. Readers do not have to pay any fee. Only registration is necessary.
Uncontrolled Keywords: blended learning, networks, games based learning
Subjects: L Education > LB Theory and practice of education
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:16
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/6456

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