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Computer Graphics Forum
Article . 2010 . Peer-reviewed
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Experimental Feedback on Prog&Play: A Serious Game for Programming Practice

Authors: Mathieu Muratet; Patrice Torguet; Fabienne Viallet; Jean-Pierre Jessel;

Experimental Feedback on Prog&Play: A Serious Game for Programming Practice

Abstract

Abstract This paper presents an experimental feedback on a serious game dedicated to strengthening programming skills. This serious game, called Prog&Play, is built on an open source real‐time strategy game. Its goal is to be compatible with different students, teachers and institutions. We based its evaluation on an iterative process that allows to implement the game and carry out experimentations in several contexts. Through this assessment, we define a framework which has been tested by third parties and we analyse both positive and negative points to improve the project. Evaluation is indeed beneficial and enables you to establish communication about the implemented practices.

Country
France
Keywords

Learning Programming, 330, 070, Serious Games, Prog&Play, RTS, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, ACM: K.: Computing Milieux/K.3: COMPUTERS AND EDUCATION/K.3.1: Computer Uses in Education, Real Time Strategy Games, Video Games, SG, [INFO.EIAH]Computer Science [cs]/Technology for Human Learning

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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!
33
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Top 10%
Top 10%
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