Assessment of hybrid board game-based learning outcomes using the beatty theoretical framework

Onencan, Abby Muricho (2018) Assessment of hybrid board game-based learning outcomes using the beatty theoretical framework. In: Simulation Gaming. Applications for Sustainable Cities and Smart Infrastructures - 48th International Simulation and Gaming Association Conference, ISAGA 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Springer-Verlag Berlin Heidelberg, NLD, pp. 161-172. ISBN 9783319919010

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Abstract

Hybrid board games draw benefits from both the digital and physical worlds. They increase social interaction and provide an enjoyable, seamless experience. Nevertheless, hybrid artefacts do not fit snugly into established game genres, leading to ambiguity regarding the selection of measurement tools. To address this challenge, a video game assessment framework, as outlined in Beatty (2014), was selected. It has a generic template, four dimensions with their respective templates (macro-level, micro-level, builder meta-level and social meta-level) and two feedback loops. This framework was applied from April to August 2016 in Kenya, to assess the learning outcomes of the Nzoia WeShareIt game. Results indicate that the framework could provide a solution for assessing hybrid board games, subject to some adjustments, as outlined in this paper. Future work may entail application of the framework, in other drainage basins.

Item Type: Book Section
Additional Information: Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.
Uncontrolled Keywords: assessment,board games,complexity science,digital games,game-based learning,hybrid games,theoretical framework,theoretical computer science,computer science(all) ,/dk/atira/pure/subjectarea/asjc/2600/2614
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Depositing User: LivePure Connector
Date Deposited: 08 Apr 2025 09:30
Last Modified: 13 Apr 2025 06:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/98984
DOI: 10.1007/978-3-319-91902-7_16

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