RT info:eu-repo/semantics/conferenceObject
T1 Predicting the decrease of engagement indicators in a MOOC
T2 International Conference on Learning Analytics & Knowledge (7º. 2017. Vancouver, Canada)
A1 Bote Lorenzo, Miguel Luis
A1 Gómez Sánchez, Eduardo
K1 MOOC
AB Predicting the decrease of students’ engagement in typical MOOC tasks such as watching lecture videos or submitting assignments is key to trigger timely interventions in order to try to avoid the disengagement before it takes place. This paper proposes an approach to build the necessary predictive models using students’ data that becomes available during a course. The approach was employed in an experimental study to predict the decrease of three different engagement indicators in a MOOC. The results suggest its feasibility with values of area under the curve for different predictors ranging from 0.718 to 0.914.
PB Association for Computing Machinery (ACM)
YR 2017
FD 2017
LK http://uvadoc.uva.es/handle/10324/24890
UL http://uvadoc.uva.es/handle/10324/24890
LA eng
NO Bote-Lorenzo, M.L.,  Gómez-Sánchez, E. Predicting the decrease of engagement indicators in a MOOC.  Proceedings of the 7th International Conference on Learning Analytics and Knowledge, LAK 2017, 143-147, Vancouver, Canada, March 2017
NO Producción Científica
DS UVaDOC
RD 01-may-2024