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Models, Methods, and Algorithms for Control over Learning Individual Trajectory

Models, Methods, and Algorithms for Control over Learning Individual Trajectory

Artur Mitsel, Nina Cherniaeva
Copyright: © 2016 |Pages: 13
ISBN13: 9781466694897|ISBN10: 1466694890|EISBN13: 9781466694903
DOI: 10.4018/978-1-4666-9489-7.ch017
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MLA

Mitsel, Artur, and Nina Cherniaeva. "Models, Methods, and Algorithms for Control over Learning Individual Trajectory." Handbook of Research on Estimation and Control Techniques in E-Learning Systems, edited by Vardan Mkrttchian, et al., IGI Global, 2016, pp. 245-257. https://doi.org/10.4018/978-1-4666-9489-7.ch017

APA

Mitsel, A. & Cherniaeva, N. (2016). Models, Methods, and Algorithms for Control over Learning Individual Trajectory. In V. Mkrttchian, A. Bershadsky, A. Bozhday, M. Kataev, & S. Kataev (Eds.), Handbook of Research on Estimation and Control Techniques in E-Learning Systems (pp. 245-257). IGI Global. https://doi.org/10.4018/978-1-4666-9489-7.ch017

Chicago

Mitsel, Artur, and Nina Cherniaeva. "Models, Methods, and Algorithms for Control over Learning Individual Trajectory." In Handbook of Research on Estimation and Control Techniques in E-Learning Systems, edited by Vardan Mkrttchian, et al., 245-257. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9489-7.ch017

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Abstract

The article discusses models, methods and algorithms of determining student's optimal individual educational trajectory. A new method of controlling the learning trajectory has been developed as a dynamic model of learning trajectory control, which uses score assessment to construct a sequence of studied subjects. In connection with the transition of the educational system to a competence-oriented approach, the problem of learning outcomes assessment and creating an individual learning trajectory of a student has become relevant. Its solution requires the application of modern information technologies.

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