Improving the criteria-based evaluation assessment for master’s research in engineering programs
https://doi.org/10.31660/2782-232X-2024-4-107-113
Abstract
This study aimed to improve the methodology for evaluating the research activities of engineering master’s students. Criterion-based evaluation is one of the main tools for assessing the development of research competences. Based on data from professional experts and relevant regulatory documents, evaluation criteria for student research were defined. Parameters for a credit-based evaluation system were introduced. The methodology proposed for calculating a composite research assessment provides a holistic and objective evaluation of the research conducted, independent of the opinions of supervisors or individuals.
About the Authors
I. A. Chekardovskaya
Industrial University of Tyumen
Russian Federation
Russian Federation
Irina A. Chekardovskaya, Cand. Sci. (Engineering), Associate Professor, Associate Professor in the Department of Hydrocarbon Resources Transportation
Tyumen
S. M. Chekardovskiy
Industrial University of Tyumen
Russian Federation
Russian Federation
Sergey M. Chekardovskiy, Cand. Sci. (Engineering), Associate Professor, Associate Professor in the Department of Hydrocarbon Resources Transportation
Tyumen
M. N. Chekardovskiy
Industrial University of Tyumen
Russian Federation
Russian Federation
Mikhail N. Chekardovskiy, Dr. Sci. (Engineering), Associate Professor, Professor in the Department of Engineering Systems and Structures
Tyumen
References
1. Berseneva O. V. Criterion model and levels of formed research competence of future teachers of mathematics. Naukovedeniye. 2015;7(5):24PVN515. (In Russ.) Available at: https://naukovedenie.ru/PDF/24PVN515.pdf.
2. Glagolev M. V., Lapshina E. D. The methodology for estimation of scientific activity in UNESCO department of Yugra State University. Environmental Dynamics and Global Climate Change. 2012;2:EDCCmis0004. (In Russ.) Available at: https://elibrary.ru/item.asp?id=21194515.
3. Chekardovskaya I. A., Bakanovskaya L. N. A program of automation of a criteria assessment methodology for master's students scientific work studying "Oil and Gas Business". Automation, Telemechanization and Communication In Oil Industry. 2019;8(553):44–48. (In Russ.) Available at: https://elibrary.ru/item.asp?id=39174868.
4. Ryzhov E. V., Gorlenko O. A. Mathematical methods in technological research. Kiev: Naukova dumka; 1990. (In Russ.)
5. Gurinovich A. I. How to formalize the application materials for invention and utility model. Minsk: Uchebno-issledovatel'skoye respublikanskoye unitarnoye predpriyatiye intellektual'noy sobstvennosti; 2002. (In Russ.)
6. Kanke V. I. Fundamentals of philosophy. Moscow: Logos; 2003. (In Russ.)
7. Gerasimov I. G. Structure of scientific research. Moscow: Mysl'; 1985. (In Russ.)
8. Belova O. V. Intellectual property. Basic concepts. Moscow: Bauman Moscow State Technical University; 2004. (In Russ.)
9. Bonitz M. Scientific research and scientific information. Moscow: Nauka; 1987. (In Russ.)
10. Kotarbin'skiy T. Elements of the theory of cognition, formal logic and methodology of sciences. Birobidzhan: Trivium; 2000. (In Russ.)
11. Vinokurova N. F., Sotkina S. A., Efimova O. E. Integration of modern scientific knowledge as a value-content basis of a culture sustainable future teacher of geography. Modern problems of science and education. 2015;(6):529. (In Russ.) Available at: https://elibrary.ru/item.asp?id=25390114.
Review
For citations:
Chekardovskaya I.A., Chekardovskiy S.M., Chekardovskiy M.N. Improving the criteria-based evaluation assessment for master’s research in engineering programs. Architecture, Construction, Transport. 2024;(4):107-113. (In Russ.) https://doi.org/10.31660/2782-232X-2024-4-107-113
Views:
17
Email this article 