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.
The research was partially supported by Russian Foundation for Basic Research (grant N17-07-00228).
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Gavrilova, T., Onufriev, V. (2018). Conceptual Modelling: Common Students’ Mistakes in Visual Representation. In: Auer, M., Guralnick, D., Simonics, I. (eds) Teaching and Learning in a Digital World. ICL 2017. Advances in Intelligent Systems and Computing, vol 716. Springer, Cham. https://doi.org/10.1007/978-3-319-73204-6_24
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