THE MODEL OF RESOURCES DISTRIBUTION FOR DESIGNING MASTER’S EDUCATIONAL PROGRAM
E. V. Tissen () and
O. A. Gritsova ()
University Management: Practice and Analysis, vol. 22, issue 1
Abstract:
This article is a conceptual one, its aim is to formulate the model of forming, renovating and evaluating resource base required for maser programs based on customer requirements. To achieve the stated aim the following methods were used: a) using logical analysis, authors defined the interrelation between customer requirements to education quality and resources for implementing master program; b) marketing research into customer opinion is necessary for defining requirements to education quality and discrepancies between these requirements and educational process characteristics; c) system analysis methods allowed for conducting decomposition of the global aim of the teaching process and construct the hierarchy of discrepancies between customer requirements and characteristics of the given teaching process; d) hierarchy analysis method was used for defining priorities of eliminating the reasons behind the above - mentioned discrepancies by means of resources spread. Suggested mechanism of resource spread in designing educational programs allows for defining the degree of correlation between resources supporting master educational programs and customer requirements; calculate average figures describing the gap between reality and desired level of resources for each discipline, conducting corrections aimed at eliminating these gaps by means of spreading resources according to obtained average gap numbers. In order to provide grounds for obtained results, the authors analyzed limitations and opportunities for practical use of suggested mechanism for spreading resources in designing maser educational programs. Among the opportunities we must mention increasing quality of education as a result of better fulfillment of customer requirements, presence of objective instrument for providing resources for maser programs; establishing connections between resource support and educational programs implementation results which allows for defining effectiveness of resources use. The limitations include high amount of labor required for implementing resource spread mechanism presented in the article. This limitation can be eliminated as a result of automatization of several stages of suggested resource spread process. The novelty of the article is that the mechanism suggested by the authors unlike others allows for conducing design and correction of master programs according to customer requirements as it is based on research results and is aimed at eliminating discrepancies between resource support of curriculum and customer requirements according to priorities. This allows for improving education quality in the context of limited resources.
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Persistent link: https://EconPapers.repec.org/RePEc:adf:journl:y::id:145
DOI: 10.15826/umpa.2018.01.003
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