The study of the use of adaptive technologies in the intelligent system for assessing learning outcomes

Implemented within the framework of grant funding for young scientists under the project AP13268833, funded by The Science Committee of the Ministry of Science and higher education of the Republic of Kazakhstan, the project "Zhas Galym" is implemented within the framework of grant funding for young scientists.       

Project manager (postdoctoral fellow): Kazanbayeva Albina Sovetovna, doctor of technical sciences, senior lecturer of the Department "information and communication technologies" (El. mail akazanbaeva83@mail.ru, in ORCID: https://orcid.org/0000-0002-3077-3499 m, h-index = 3 (Scopus), Scopus author ID: 57209835396).

Scientific consultant (consultant): Kulikova Vladimir Pavlovich, Ph. D., professor of the Department of information and communication technologies (El.  mail qwertyra@mail.ru, in ORCID: https://orcid.org/0000-0002-6352-0949 m, h-index = 2 (Scopus, Scopus author ID: 57212024214).

Execution period: 01.05.2022-31.12.24

Duration: 32 months.

Total amount of funding: 17,398,394 tenge.

The aim of the project is to study and implement a program to improve the quality of education and develop a new intelligent solution for managing and evaluating learning outcomes.

Expected results: development of an intelligent system that contributes to the diagnosis of learning as a consequence of the learning results achieved through the use of adaptive technologies. Analysis of the system for assessing the results of students ' education, including adaptation technologies. Analysis of automatic proctoring in knowledge control systems (computer). Conducting an analysis and comparison of test results by the method of evaluating adapted test tasks. Conducting mathematical modeling that ensures the correct assessment of the results of knowledge control. Development of a method for managing the processes of an intelligent system for evaluating learning outcomes. Development of a model of an intelligent system for evaluating learning outcomes using adaptive technologies. Approbation of the integration of the responsible oral / written input module into the learning outcomes assessment system. Conducting mathematical processing of the results obtained during approbation.

List of articles:

1. A. S. Kazanbayeva, K. E. Lantasova, V. P. Kulikov, development of a method for evaluating learning outcomes using automated testing management //Quimica periodical, (2019); volume 16 (No. 33), pp. 796-812.  – (ISSN 2179-0302 Web of Science–Q2).
2. V. P. Kulikov, K. E. Lantasova, A. S. Kazanbayeva the method of decision-making based on entropy in managing the development of the socio-information system // Journal of theoretical and Applied Information Technologies, January 2020. volume 98.  No. 01. pp. 92-102. – e-ISSN 1817-3195.
3. V. P. Kulikov, K. E. Lantasova, Yu. s. Kazanbayeva, development of a decision-making method for the formation of indicators of the University Development Plan // Eastern European Journal of Corporate Technologies (2019); Vol.3-99, pp. 12-21. - ISSN 1729-3774. (http://www.scopus.com/inward/record.url?eid=2-s2.0-85068826530&partnerID=MN8TOARS ).
4. A. S. Kazanbayeva analysis and comparison of test results by the method of evaluating test tasks / / Bulletin of Shakarim State University of Semey, Semey. 2019. №2(86). - Pp. 85-88. – ISSN 1607-2774. (http://rmebrk.kz/magazine/4787 #)
5. V. P. Kulikov, A. S. Kazanbayeva, a set of diagnostic tools for assessing the results // Bulletin of the Pavlodar Pedagogical University named after S. Toraigyrov, Pavlodar.  №1. 2019. pp. 208-218. - ISSN number 1811-1831
6. E. M. Krylova, A. S. Kazanbayeva, crafts on the fair development of knowledge and assessment of test subjects // Bulletin of Kaznrtu, Almaty, 2019. №3. pp. 366-372. –ISSN 16809211.