METHODOLOGY FOR MONITORING OF STUDENTS’ SATISFACTION WITH THE QUALITY OF EDUCATIONAL PROGRAMS

Abstract

At present, in connection with the accession of Russia to the Bologna Process, the problem of a comprehensive assessment of the quality of education has become topical. Among the indicators that should be considered together with other criteria for the effectiveness of the educational process are indicators reflecting the degree of student satisfaction with the quality of educational programs provided by the university. Student interviews require reliable and validated evaluation tools, where reliability is one of the hallmarks of the quality of the evaluation tool, characterizing the resistance to measurement errors, validity is one of the hallmarks of the ability of the tool to measure what its developers planned. Based on the analysis of Russian and foreign experience in conducting student interviews, at the Department of Applied Mathematics of Lipetsk State Technical University we developed an evaluation tool - a methodology for monitoring students’ satisfaction with the quality of educational programs. The purpose of this study is to analyze the reliability and validity of this technique. As reliability of the developed evaluation tool, the internal consistency of items of the questionnaire was considered and estimated by means of calculating Cronbach’s Alfa values. As a degree of validity, the content validity was considered, that is analysis, how much the results obtained are consistent with the theory and practice of training. The results of the survey of the fourth year students of the direction «applied mathematics» were analyzed by applying the regression analysis and calculating the values of Cronbach’s Alfa. The carried out research allows to draw the conclusion that the evaluation tool developed by us has internal consistency and substantial validity. Therefore, the results of student surveys conducted through the application of this evaluation tool can be used to analyze the quality of educational programs at a university.

About the authors

E. V. Kuznetsova

Lipetsk State Technical University

Author for correspondence.
Email: morenov@ssau.ru
Candidate of Physical and Mathematical Sciences, associate professor, Department of Applied Mathematics

References

Statistics

Views

Abstract: 1152

PDF (Russian): 343

Dimensions

PlumX

Refbacks

  • There are currently no refbacks.

Copyright (c) 2018 Kuznetsova E.V.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies