Predicting student performance in a beginning computer science class
SIGCSE '86 Proceedings of the seventeenth SIGCSE technical symposium on Computer science education
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Breeding Decision Trees Using Evolutionary Techniques
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
On small data sets revealing big differences
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
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Students who enroll in the undergraduate program on informatics at the Hellenic Open University (HOU) demonstrate significant difficulties in advancing beyond the introductory courses. We use decision trees and genetic algorithms to analyze their academic performance throughout an academic year. Based on the accuracy of the generated rules, we analyze the educational impact of specific tutoring practices and reflect on some software engineering issues involved in the development of organization-wide measurement systems.