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

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Author(s): Artur Mitsel (Tomsk State University of Control Systems and Radioelectronics, Russia & Tomsk Polytechnic University, Russia)and Nina Cherniaeva (Tomsk Polytechnic University, Russia)
Copyright: 2016
Pages: 13
Source title: Handbook of Research on Estimation and Control Techniques in E-Learning Systems
Source Author(s)/Editor(s): Vardan Mkrttchian (HHH University, Australia), Alexander Bershadsky (Penza State University, Russia), Alexander Bozhday (Penza State University, Russia), Mikhail Kataev (Tomsk State University of Control System and Radio Electronics, Russia & Yurga Institute of Technology (Branch) of National Research Tomsk Polytechnic University, Russia)and Sergey Kataev (Tomsk State Pedagogical University, Russia)
DOI: 10.4018/978-1-4666-9489-7.ch017

Keywords: Education / Educational Technologies / Information Science Reference

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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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