Predicting Students' Outcome by Interaction Monitoring

نویسندگان

  • Samara Ruiz
  • Maite Urretavizcaya
  • Isabel Fernández de Castro
چکیده

In this paper we propose to predict the students’ outcome by analyzing the interactions that happen in class during the course. PresenceClick lets teachers and students register their interactions during learning sessions in an agile way to give feedback in return about the students’ learning progress by means of visualizations. Some of the registered interactions are the students who are attending class and a subset of the students’ emotions felt during learning sessions. We have found correlations among attendance, emotions and performance in the final exam. This paper presents the study carried out to build a prediction model for the students’ mark in the final exam based on these interactions. The purpose is to advice teachers about students in risk to fail.

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تاریخ انتشار 2015