Teaching methodology for modeling the activities of company within the discipline “Design of information systems”

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Abstract

Problem statement . The topic of modeling the activity of a company within the discipline “Design of information systems” remains one of the most difficult for students to understand. Students quickly master CASE tools and the syntax of graphic languages, but this is not enough to build correct models. Difficulties are associated with the lack of clear criteria for the correctness of the model and the many alternative solutions. The purpose of the study is to develop a methodology for teaching modeling, which will allow students to form a deeper understanding of the topic. Methodology . Experimental work was carried out on the basis of the Donetsk Academy of Management and Public Administration. In the experiment took part 79 students of the second year of bachelor's degree in the direction of training 09.03.03 “Applied informatics”. The experiment consisted of an anonymous questionnaire and statistical processing of its results. Results. Based on the analysis of typical mistakes of students, a “worksheet” has been developed, consisting of a number of empirical rules, which is recommended to be issued to students before starting to independently perform the simulation. Students are encouraged to constantly check for compliance of the constructed models with the proposed rules. The results of the experiment showed significant qualitative changes in the implementation of individual projects by students who used the proposed “worksheets”. Conclusion . The use of the described methodology in teaching students of the direction of training 09.03.03 “Applied informatics” within the discipline “Information systems design” provided a more conscious approach of students to modeling and, as a result, more correct performance of tasks.

About the authors

Elena G. Litvak

Donetsk Academy of Management and Public Administration

Author for correspondence.
Email: alttt@yandex.ru
ORCID iD: 0000-0002-9123-5053

Candidate of Economic Sciences, Associate Professor, Assistant Professor of the Department of Information Technologies

163а Cheluskintsev St, Donetsk, 283015, Russian Federation

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