dc.contributor.author | Er, Erkan | |
dc.contributor.author | Gómez Sánchez, Eduardo | |
dc.contributor.author | Bote Lorenzo, Miguel Luis | |
dc.contributor.author | Asensio Pérez, Juan Ignacio | |
dc.contributor.author | Dimitriadis Damoulis, Ioannis | |
dc.date.accessioned | 2019-07-16T10:00:54Z | |
dc.date.available | 2019-07-16T10:00:54Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://uvadoc.uva.es/handle/10324/37044 | |
dc.description.abstract | With the aim of supporting instructional designers in setting up collaborative learning activities in MOOCs, this paper derives prediction models for student participation in group discussions. The salient feature of these models is that they are built using only data prior to the learning activity, and can thus provide actionable predictions, as opposed to post-hoc approaches common in the MOOC literature. Some learning design scenarios that make use of this actionable information
are illustrated. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | ACM | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.title | Informing the design of collaborative activities in MOOCs using actionable predictions | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dc.relation.publisherversion | https://learningatscale.acm.org/las2019/ | |
dc.title.event | Sixth ACM Conference on Learning @ Scale, L@S2019 | es |
dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | es |