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https://doi.org/10.1109/iembs....
Article . 2010 . Peer-reviewed
Data sources: Crossref
ResearchOnline@GCU
Conference object . 2010
Data sources: ResearchOnline@GCU
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Learning by gaming - evaluation of an online game for children

Authors: Lazareck, Lisa J.; Farrell, David; Kostkova, Patty; Lecky, Donna M.; McNulty, Cliodna A.M.; Weerasinghe, Dasun;

Learning by gaming - evaluation of an online game for children

Abstract

Playing computer games is widely popular among children and teenagers as an entertainment activity; meanwhile, playing computer games also provides a learning opportunity. For example, the rules of the game have to be learned by the player in order to improve his/her performance. Based on that principle, the City eHealth Research Centre (CeRC) developed a web game for 13-15 year olds, whereby the player becomes an investigator who attends the scene of an incident that involves microbes. There are four missions in total, each involving a mystery that the player needs to solve and learning objectives that need to be taught - such as antibiotic resistance and the importance of hygiene. This paper presents the results from a game evaluation that took place between July of 2009, in four UK schools (Glasgow, Gloucester, London), with 129 students; whereby 98% of the students commented positively about playing the game. Subsequently, CeRC has improved the game and developed an interactive educational games portal (www.edugames4all.com) for different age groups of web game enthusiasts.

Country
United Kingdom
Keywords

Internet, Adolescent, Teaching, Drug Resistance, Microbial, Problem-Based Learning, United Kingdom, Video Games, Communicable Disease Control, Humans, Learning, Programming Languages, Child, Algorithms, Software

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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!
11
Average
Top 10%
Average