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Predicting Grades Based on Students’ Online Course Activities

  • Aleš Černezel
  • Sašo Karakatič
  • Boštjan Brumen
  • Vili Podgorelec
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 185)

Abstract

We researched the possibility of predicting the final grades of university students with the help of online course management systems. By using the activity logs from the system we identify those variables that could be used during predictions. We experimentally narrowed-down the selection to two variables that would be useful for constructing linear regression models for grade prediction. The identified variables were the number of specific activities and the intermediate grades of the students. An experiment was conducted in order to evaluate the selection regarding five courses, which would show whether these two variables could help build a prediction model with accuracy of up to 91.7 % for a given course.

Keywords

Data mining Knowledge discovery E-learning Online course Web-based education system Grade prediction 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Aleš Černezel
    • 1
  • Sašo Karakatič
    • 1
  • Boštjan Brumen
    • 1
  • Vili Podgorelec
    • 1
  1. 1.Faculty of Electrical Engineering, Computer and Information ScienceInstitute of Informatics, University of MariborMariborSlovenia

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