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.

Original languageEnglish
Title of host publicationTeaching and Learning in a Digital World - Proceedings of the 20th International Conference on Interactive Collaborative Learning
EditorsMichael E. Auer, Istvan Simonics, David Guralnick
Place of PublicationBudapest, Hungary
PublisherSpringer Nature
Pages199-209
Number of pages11
ISBN (Print)9783319732039
DOIs
StatePublished - 1 Jan 2018
Event20th International Conference on Interactive Collaborative Learning, ICL 2017 - Budapest, Hungary
Duration: 27 Sep 201729 Sep 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume716
ISSN (Print)2194-5357

Conference

Conference20th International Conference on Interactive Collaborative Learning, ICL 2017
Country/TerritoryHungary
CityBudapest
Period27/09/1729/09/17

    Research areas

  • Intelligent systems, Knowledge based systems, Knowledge engineering, Students’ errors, Visual modelling, SCOPUS

    Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

ID: 40929386