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.
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Keywords
- Sensitive Point
- Computer Science Education
- Practical Machine Learning Tool
- Write Assignment
- INF11 Module
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Hadzilacos, T., Kalles, D. (2006). On the Software Engineering Aspects of Educational Intelligence. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893004_144
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DOI: https://doi.org/10.1007/11893004_144
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46537-9
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