RT info:eu-repo/semantics/conferenceObject
T1 Informing the design of collaborative activities in MOOCs using actionable predictions
A1 Er, Erkan
A1 Gómez Sánchez, Eduardo
A1 Bote Lorenzo, Miguel Luis
A1 Asensio Pérez, Juan Ignacio
A1 Dimitriadis Damoulis, Ioannis
AB 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 informationare illustrated.
PB ACM
YR 2019
FD 2019
LK http://uvadoc.uva.es/handle/10324/37044
UL http://uvadoc.uva.es/handle/10324/37044
LA eng
DS UVaDOC
RD 08-may-2024