2024-03-28T11:01:59Zhttp://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/370442021-06-23T13:30:42Zcom_10324_1191com_10324_931com_10324_894col_10324_1381
Er, Erkan
Gómez Sánchez, Eduardo
Bote Lorenzo, Miguel Luis
Asensio Pérez, Juan Ignacio
Dimitriadis Damoulis, Ioannis
2019-07-16T10:00:54Z
2019-07-16T10:00:54Z
2019
http://uvadoc.uva.es/handle/10324/37044
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.
eng
info:eu-repo/semantics/openAccess
Informing the design of collaborative activities in MOOCs using actionable predictions
info:eu-repo/semantics/conferenceObject