Abstract
Students often experience significant difficulties while studying mathematical subjects. In this work we focus on a course in calculus given to third year bachelor engineering students. The course is optional with respect to completing a bachelor degree and compulsory for taking a master degree in engineering. Our intention is to find out whether early identification of students in danger to fail the subject is possible and if affirmative which factors can be used to support the identification process. Methods from rough set theory are applied for selection of important attributes and factors influencing learning.
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Encheva, S., Ese, T. (2015). Knowledge Evaluation with Rough Sets. In: Huang, DS., Han, K. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science(), vol 9227. Springer, Cham. https://doi.org/10.1007/978-3-319-22053-6_20
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DOI: https://doi.org/10.1007/978-3-319-22053-6_20
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