Crowdsourcing in Computer Science Education

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dc.contributor.author Pirttinen, Nea
dc.date.accessioned 2021-09-16T08:54:01Z
dc.date.available 2021-09-16T08:54:01Z
dc.date.issued 2021-08-16
dc.identifier.citation Pirttinen , N 2021 , Crowdsourcing in Computer Science Education . in ICER 2021: Proceedings of the 17th ACM Conference on International Computing Education Research . ACM , pp. 421-422 , ICER 2021: ACM Conference on International Computing Education Research , 16/08/2021 . https://doi.org/10.1145/3446871.3469781
dc.identifier.citation conference
dc.identifier.other PURE: 168478322
dc.identifier.other PURE UUID: 4ce064ec-d27d-4421-aea2-57059ac365be
dc.identifier.other Scopus: 85113594148
dc.identifier.uri http://hdl.handle.net/10138/334411
dc.description.abstract Crowdsourcing is a method of collecting services, ideas, materials or other artefacts from a relatively large and open group of people. Crowdsourcing has been used in computer science education to alleviate the teachers’ workload in creating course content, and as a learning and revision method for students through its use in educational systems. Tools that utilize crowdsourcing can act as a great way for students to further familiarize themselves with the course concepts, all while creating new content for their peers and future course iterations. In my research, I focus on investigating the effects of computing education systems that use crowdsourcing on students’ learning, and the types of quality assurance methods required to use the artefacts students produce with these tools. en
dc.format.extent 2
dc.language.iso eng
dc.publisher ACM
dc.relation.ispartof ICER 2021: Proceedings of the 17th ACM Conference on International Computing Education Research
dc.relation.isversionof 978-1-4503-8326-4
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 113 Computer and information sciences
dc.title Crowdsourcing in Computer Science Education en
dc.type Conference contribution
dc.contributor.organization Department of Computer Science
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1145/3446871.3469781
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion

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