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Title: Ontology of learning problems in boolean algebra
Authors: Gruzdeva, N.
Bulgakova, N.
Keywords: материалы конференций
learning problems
computer science
Issue Date: 2018
Publisher: БГУИР
Citation: Gruzdeva, N. Ontology of learning problems in boolean algebra / N. Gruzdeva, N. Bulgakova // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2018) : материалы международной научно-технической конференции (Минск, 15 - 17 февраля 2018 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2018. – С. 361 - 364.
Abstract: The article describes an ontology of learning prob- lems in course “Introduction to Boolean Algebra”. Nowadays the issue of educational problems classification in computer science is not studied enough. That is why the ontology based on new classification of learning problems. The classification in- cludes Tollinger’s taxonomy (cognitive complexity) and structural complexity of the problems (number of input parameters and computational complexity). Depending on the values of these two complexities every learning problem belongs to one of three levels of complexity (easy, medium, difficult). Moreover, all the problems divided into four categories depending on their purpose. The ontology was developed with Proteґgeґ 4.3 and OWL DL. It includes over 50 classes and about 60 individual entities. The developed ontology will be useful for teachers to solve the issue of selecting learning problems.
Appears in Collections:OSTIS-2018

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