EVALUATING THE EFFICIENCY OF TEACHING MATHEMATICS IN THE ADAPTIVE SYSTEM: CRITERIA AND INDICATORS
DOI: 10.23951/1609-624X-2020-6-151-157
Introduction. The article considers the issue of the quality of training which is a fundamental criterion for the efficiency of the educational process in both traditional and innovative learning environment. Aim and objectives: to substantiate the indicators of the system for assessing the effectiveness of teaching mathematics in adaptive system within e-learning environment. Material and methods. The article reveals the parameters and regularities of building the adaptive systems of mathematical training of university students. The authors underline that when shifting during the process of mathematical training to the electronic educational environment, ensuring the high quality of training is becoming extremely important. The approach to determining the quality of e-learning in accordance with the standard is based on the development of detailed descriptions of each process and sub-process. Results and discussion. The article presents target indicators (regulatory and organizational, psychological and pedagogical, software and hardware, communication and personnel) and performance criteria for teaching mathematics in the adaptive system in conditions of the electronic educational environment. To give a more objective assessment of the efficiency of teaching mathematics in the adaptive system, each group criterion is described with the help of specific indicators that can be further measured and evaluated. A fully functional algorithm for evaluating the efficiency of teaching mathematics in the adaptive system in conditions of the electronic educational environment is indicated in the step-by-step implementation of technological operations in order to ensure the unity of internal and external quality control of training. Conclusion. An optimally developed system for evaluating the efficiency of teaching mathematics in the adaptive system in conditions of the electronic educational environment will undoubtedly ensure the efficiency of the educational activities of higher educational institutions, contribute to expanding access to the European educational space, and increase graduates’ competitiveness in the labor market.
Keywords: mathematical training, adaptive system, e-learning, student, quality, evaluation, criteria, indicators
References:
1. The Standards and Guidelines for Quality Assurance in the European Higher Education Area. EURASHE, 2015. 32 p.
2. Toktarova V. I. Assessing the Efficiency of Teaching Mathematics in the E-Learning Environment. Proceedings of INTCESS 2019 – 6th International Conference on Education and Social Sciences, 2019. Pp. 428–43.
3. Zhigalev B. A. Pedagogicheskaya sistema otsenki kachestva obrazovaniya v sovremennom vuze (teoretiko-metodologicheskiy aspekt) [Pedagogical system for assessing the quality of education in the modern society (theoretical and methodological aspect)]. Nizhny Novgorod, 2007. 115 p. (in Russian).
4. Polonsky E. V. Obespecheniye kachestva matematicheskoy podgotovki operatsionnykh logistov kak pedagogicheskaya problema [Quality assurance of the mathematical training of operational logisticians as a pedagogical problem]. Universitetskiy kompleks kak regional’nyy tsentr obrazovaniya, nauki i kul’tury: materialy Vserossijskoy nauchno-metodicheskoy konferentsii [University Complex as a Regional Center for Education, Science and Culture: proceedings of the Russian National Scientific and Methodological Conference]. Orenburg, 2016. Pp. 2735–2740 (in Russian).
5. Berishvili O. N. Adaptivnaya sistema matematicheskoy podgotovki inzhenerov v sel’skohozyaystvennom vuze. Dis. dokt. of ped. nauk [Adaptive system of mathematical training of engineers in an agricultural university. Diss. ... of doct. of ped. sci.]. Samara, 2015. 623 p. (in Russian).
6. Vasiliyev V. I., Tyagunova T. N. Osnovy kul’tury adaptivnogo testirovaniya [Fundamentals of adaptive testing culture]. Moscow, IKAR Publ., 2003. 584 p. (in Russian).
7. Toktarova V. I., Fedorova S. N. Proyektirovaniye adaptivnoy sistemy matematicheskoy podgotovki studentov vuzov: metodologicheskoye obosnovaniye [Designing an adaptive system of mathematical training for university students: methodological justification]. Vestnik Tomskogo gosudarstvennogo pedagogicheskogo universiteta – TSPU Bulletin, 2018, no. 1 (190), pp. 164–171 (in Russian).
8. Standarty i rekomendatsii dlya garantii kachestva vysshego obrazovaniya v evropeyskom prostranstve [Standards and recommendations for guaranteeing the quality of higher education in the European space]. Yoshkar-Ola, Akkreditatsiya v obrazovanii Publ., 2008. 58 p. (in Russian).
9. GOST R 53625-2009. Informatsionnaya tekhnologiya. Obucheniye, obrazovaniye i podgotovka. Menedzhment kachestva, obespecheniye kachestva i metriki [GOST R 53625-2009. Information technology. Education, education and training. Quality management, quality assurance and metrics]. Moscow, Standartinform Publ., 2011. 16 p. (in Russian).
10. Saati T. L. Prinyatiye resheniy pri zavisimostyakh i obratnykh svyazyakh. Analiticheskiye seti [Decision making with dependencies and feedbacks. Analytical networks]. Moscow, LKI Publ., 2008. 360 p. (in Russian).
11. Toktarova V. I., Fedorova S. N. Adaptivnaya sistema matematicheskoy podgotovki studentov v usloviyakh informatsionnoobrazovatel’noy sredy vuza [Adaptive system of mathematical training of students in the information and educational environment of the university]. Yoshkar-Ola, 2020, 488 p. (in Russian).
12. Rasporyazheniye Pravitel’stva RF ot 01.11.2013 g. no. 2036-p «Strategiya razvitiya otrasli informatsionnykh tekhnologiy v Rossiyskoy Federatsii na 2014–2020 gody i na perspektivu do 2025 goda» [Order of the Government of the Russian Federation dated 01.11.2013 No. 2036-rStrategy for the development of the information technology industry in the Russian Federation for 2014–2020 and for the long term until 2025] (in Russian).
13. Advanced Distributed Learning (ADL), Sharable Content Object. Reference Model (SCORM). 2nd Edition Overview. 2004.
14. Dmitriyeva E. N., Kuritsyna G. V. Soderzhaniye otsenki kachestva distantsionnogo obucheniya v vuze [The content of the assessment of the quality of distance learning at the university]. Sovremennye problemy nauki i obrazovaniya – Modern problems of science and education, 2015, no. 6 (in Russian). URL: http://science-education.ru/ru/article/view?id=23913 (accessed 10 September 2020).
15. Krasil’nikova V. A. Teoriya i tekhnologii komp’yuternogo obucheniya i testirovaniya [Theory and technology of computer training and testing]. Moscow, Dom pedagogiki Publ., 2009. 339 p. (in Russian).
( 397.92 kB ) 
( 388.95 kB )
Issue: 6, 2020
Series of issue: Issue 6
Rubric: TRAINING AND ADVANCED DEVELOPMENT OF A TEACHER
Pages: 151 — 157
Downloads: 360