Machine Learning Approach for Study Course Comparison

Machine Learning and Data Mining in Pattern Recognition: Poster Proceedings of International Conference MLDM 2012 2012
Ilze Birzniece

Comparative analysis of university study courses is interesting discipline in several ways. Ability for effortless detection of similarity of different courses would give opportunity to organize student exchange programmes effectively as well as facilitate curriculum management and development. Current approaches to curriculum comparison are mostly manual and are based on human intellect. This area could benefit from application of smartly adapted machine learning technologies. The use indirect study course comparison is proposed to teach the classifier the assessment system of human expert in order to compare study courses semi-automatically. Inductive learning based classification system is accompanied with interactive capabilities to overcome difficulties caused by semi-structured and incomplete course descriptions.

Keywords
Inductive learning, compatibility analysis, curriculum management, study course comparison

Birzniece, I. Machine Learning Approach for Study Course Comparison. In: Machine Learning and Data Mining in Pattern Recognition: Poster Proceedings of International Conference MLDM 2012, Germany, Berlin, 15-20 July, 2012. Berlin: ibai-publishing, 2012, pp.16-28. ISBN 978-3-942952-14-9. ISSN 1864-9734.

Publication language
English (en)