Predicting the decrease of engagement indicators in a MOOC
ML Bote-Lorenzo, E Gómez-Sánchez - Proceedings of the Seventh …, 2017 - dl.acm.org
Proceedings of the Seventh international learning analytics & knowledge …, 2017•dl.acm.org
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 …
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 …
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.
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