2017
DOI: 10.17265/1539-8080/2017.07.005
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New Opportunities of Computer Assessment of Knowledge Based on Fractal Modeling

Abstract: Foreign Affairs of the Russian Federation, RussiaIn this article, the urgent problem of control systems modeling of professional competences and knowledge assessment of students is discussed. Pedagogical expediency in management of students' cognitive activity by using of new informational technologies instruments in monitoring and assessment of knowledge is proved. The possibility of fractal methods application in perfecting of the system of computer monitoring of students' knowledge of as a part of the adapt… Show more

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Cited by 5 publications
(3 citation statements)
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“…Multiple goal-setting of the content and processes in the studying of complex knowledge generalized construct in "problem zone" of mastering mathematics, taking into account of student's interests and readiness (S.N. Dvoryatkina [8]):…”
Section: Resultsmentioning
confidence: 99%
“…Multiple goal-setting of the content and processes in the studying of complex knowledge generalized construct in "problem zone" of mastering mathematics, taking into account of student's interests and readiness (S.N. Dvoryatkina [8]):…”
Section: Resultsmentioning
confidence: 99%
“…Расчет H-показателя Херста позволяет прогнозировать динамику процесса усвоения учебного материала. Ал-горитм расчета H-показателя Херста для одномерного временного ряда, опреде-ляющего количество междисциплинарных понятий, связанных с усвоением клю-чевого понятия, подробно представлен в работе (Dvoryatkina, Smirnov, Lopukhin, 2017).…”
Section: процедура и методика исследованияunclassified
“…At the same time, according to the classification of Ostroukh and Surkova (2020), as demonstrated in their monograph, the system that is developed by the authors should be soft and hybrid, with an intellectual interface, with expressed features of expert, self-learning, and adaptive systems. The use of the new technology implies taking into account the specifics of the following set of the system synergistic features: the quality and operability of decision-making; the fuzziness of goals and institutional boundaries; the multiplicity of subjects involved in solving the problem; the randomness, fluctuating and discrete behavior of the environment; the multiplicity of mutually influencing factors; the weak formalizability, uniqueness, and irregularity of situations; the latency and implicitness of information; deviation of plan implementation and the importance of small actions; paradoxicality of decision logic, as is proven in works (Dvoryatkina, Melnikov, and Smirnov, 2017;Dvoryatkina, Smirnov, and Lopukhin, 2017;Dvoryatkina and Shcherbatykh, 2020). The quality assessment system of trainees' knowledge on the basis of neural networks has been proposed by Zhuikov (2014).…”
Section: Introductionmentioning
confidence: 99%