On small data sets revealing big differences

  • Authors:
  • Thanasis Hadzilacos;Dimitris Kalles;Christos Pierrakeas;Michalis Xenos

  • Affiliations:
  • Hellenic Open University, Patras, Greece;Hellenic Open University, Patras, Greece;Hellenic Open University, Patras, Greece;Hellenic Open University, Patras, Greece

  • Venue:
  • SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
  • Year:
  • 2006

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Abstract

We use decision trees and genetic algorithms to analyze the academic performance of students throughout an academic year at a distance learning university. Based on the accuracy of the generated rules, and on cross-examinations of various groups of the same student population, we surprisingly observe that students' performance is clustered around tutors.