Abstract
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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Hadzilacos, T., & Kalles, D. (2006). On the software engineering aspects of educational intelligence. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4252 LNAI-II, pp. 1136–1143). Springer Verlag. https://doi.org/10.1007/11893004_144
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