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Developing a Culturally-Responsive Coding Scheme for Game Design

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dc.contributor.authorGattupalli, Sai
dc.contributor.departmentUniversity of Massachusetts Amherst
dc.date2023-11-30T21:08:48.000
dc.date.accessioned2024-04-26T16:35:03Z
dc.date.available2024-04-26T16:35:03Z
dc.date.issued2023-01-01
dc.description<p>Comprehensive Examination Presentation</p>
dc.description.abstractThis research seeks to advance culturally-responsive computing education (Eglash et al., 2013) by creating an instrument to systematically analyze manifestations of students’ cultural contexts within the collaborative artifacts they produce using the WL curriculum learning activities. With an aim to develop an analytical “tool” to identify, categorize, describe and study cultural signatures in WL game design rtifacts, the RQ becomes: RQ: How can Pusch’s seminal framework of cultural dimensions inform systematic analysis methodology to decode students’ localized cultural contexts, worlds views, and self-conceptions reflected through their collaborative game designs using the WearableLearning education technology across 3 countries?
dc.identifier.urihttps://hdl.handle.net/20.500.14394/22898
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1012&amp;context=education_working_papers&amp;unstamped=1
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.source.statuspublished
dc.subjectGame Design
dc.subjectEducation
dc.subjectEducational Methods
dc.subjectEducational Technology
dc.subjectInstructional Media Design
dc.titleDeveloping a Culturally-Responsive Coding Scheme for Game Design
dc.typearticle
dc.typearticle
digcom.contributor.authorisAuthorOfPublication|email:sgattupalli@umass.edu|institution:University of Massachusetts Amherst|Gattupalli, Sai
digcom.identifiereducation_working_papers/11
digcom.identifier.contextkey36362157
digcom.identifier.submissionpatheducation_working_papers/11
dspace.entity.typePublication
relation.isAuthorOfPublication6734ee14-c5f8-4062-b3bd-ecb17c2788e1
relation.isAuthorOfPublication.latestForDiscovery6734ee14-c5f8-4062-b3bd-ecb17c2788e1
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