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Learner-players categorization in a geographical learninggame

Show simple item record Benanane, Ahmed yassine Maaza, Zoulikha Mekkakia 2020-07-16T14:11:09Z 2020-07-16T14:11:09Z 2021-02-08
dc.identifier.issn 2210-142X
dc.description.abstract Different works offer serious games to learn a subject of exact science such as mathematics. However, there are few games dedicated to civic subjects such as geography, which is considered a frustrating but concrete subject requiring a virtual journey in relation to the real world. Many works in the field of serious games have highlighted the learner’s profile characterized by their skills, emotional abilities and memorization. Serious games and in particular the learning game could be used to categorize learners, so we need to understand what happened during the game, to identify the learner-player’s behaviour and performance. In this article we propose an approach based on an analytical model to categorize learners in order to maximize their potential according to their profiles. This categorization is based on three profiles: level profile, interaction profile and motivation profile. We illustrate our approach with the geographical learning game, which is designed for the students of Algerian middle school of education to learn geography. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Serious games, Categorization, Petri network, Hasse diagram, Learner-player profile. en_US
dc.title Learner-players categorization in a geographical learninggame en_US
dc.volume 10 en_US
dc.issue 1
dc.pagestart 309 en_US
dc.pageend 320 en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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