Article 4316

Title of the article



Andreeva Tat'yana Vladimirovna, Head of the scientific personnel training unit, Penza State Technological University (1a Baydukova lane, Penza, Russia),
Kuznetsova Marina Vladimirovna, Candidate of engineering sciences, associate professor, sub-department of dataprocessing systems, head of the innovation and research division, Penza State University (40 Krasnaya street, Penza, Russia),

Index UDK

004.9, 378.1




Background. At the present time universities need to solve problems of develop-ing the students’ research and innovative activities and forming the search and selection system of talented youth having scientific creativity and the desire to work in education, science and innovations. This raises a number of topical issues regarding ways and means of involving students in scientific and innovative activities. One of the effective ways to activate the development of students' science at universities is to create a system of scientific events of competitive nature, the most important task is to provide objective expert evaluation of scientific research and innovative projects presented by students in university scientific competitions, exhibitions, competitions and conferences. These determine the objective of this study - to develop methods of quality assessment of student's scientific works and innovative projects for improvement of expert assessment procedures.
Materials and methods. The study was performed on the basis of contest data and materials of students’ scientific competitions in 2014–2015 at Penza State Technological University. To solve this problem the authors applied methods of expert evaluation using the fuzzy set theory technique.
Results. A universal hierarchical system of criteria allowing to carry out quality evaluation of any students’ scientific research and innovation projects presented at various competitive events has been proposed. The technique of quality evaluation of students' scientific works using a fuzzy set model that allows to improve proce-dures of expert estimation has been developed.
Conclusions. The proposed technique allows to increase the objectivity of stu-dents’ research works and innovation projects evaluation, to provide the information support to decision making process in scientific and innovative competitive events for students.

Key words

research work, innovative project, student, quality, expert evaluation, fuzzy set.

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Дата создания: 07.02.2017 15:19
Дата обновления: 08.02.2017 08:36