RT info:eu-repo/semantics/conferenceObject
T1 Predicting Student Participation in Peer Reviews in MOOCs
T2 EMOOCs 2017: European MOOCs Stakeholders Summit
A1 Er, Erkan
A1 Bote Lorenzo, Miguel Luis
A1 Gómez Sánchez, Eduardo
A1 Dimitriadis Damoulis, Ioannis
A1 Asensio Pérez, Juan Ignacio
K1 MOOC
K1 Revisión por pares
AB Assessing and providing feedback to thousands of student artefacts in MOOCs is an unfeasible task for instructors. Peer review, a well-known pedagogical approach that offers various learning gains, has been a common approach to address this practical challenge. However, low student participation is a potential barrier to the success of peer reviews. The present study proposes an approach to predict student participation in peer reviews in a MOOC context, which can be utilized to achieve an effective peer-review activity. We attempt to predict the number of different peer works that students will review for each of four assignments based on their past activities in the course. Results show that students’ preceding activities were predictive of their participation in peer reviews starting from the first assignment, and that the prediction accuracy improved considerably with the inclusion of past peer-review activities.
PB Springer International Publishing
YR 2017
FD 2017
LK http://uvadoc.uva.es/handle/10324/24889
UL http://uvadoc.uva.es/handle/10324/24889
LA eng
NO Er, E.,  Bote-Lorenzo, M.L.,  Gómez-Sánchez, E.,  Dimitriadis, Y.,  Asensio-Pérez, J.I. Predicting Student Participation in Peer Reviews in MOOCs Proceedings of the Fifth European MOOCs Stakeholders Summit, Madrid, Spain, May 2017
NO Producción Científica
DS UVaDOC
RD 14-oct-2024