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Conceptual Modelling: Common Students’ Mistakes in Visual Representation

  • Tatiana Gavrilova
  • Vadim Onufriev
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 716)

Abstract

Knowledge based systems’ design requires the developer’s advanced analytical skills. The efficient development of those skills within university courses needs a deep understanding of main pitfalls and drawbacks, which students make during their analytical work in form of visual modeling. Thus, it was necessary to hold an analysis of 5-th year students’ learning exercises within courses of “Intelligent systems” and “Knowledge engineering” in Saint-Petersburg Polytechnic University. The analysis shows that both lack of system thinking skills and methodological mistakes in course design cause the errors that are discussed in the paper.

Keywords

Knowledge based systems Knowledge engineering Students’ errors Visual modelling Intelligent systems 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Graduate School of ManagementSaint Petersburg UniversitySaint PetersburgRussia
  2. 2.Peter the Great Saint Petersburg Polytechnic UniversitySaint PetersburgRussia

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