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• Содержание выпуска •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Foundations of Programming •
• Information Systems in Culture and Education •
• Healthcare Information Systems •
• Methods for Optimal Control and Control Theory •
• Mathematical Modelling •
Information Systems in Culture and Education
Responsible for the Section:
Sergei
Znamensky, Dr. Phys.-Math.Sci.
On the left: assigned number of the paper, submission date, the number
of A5 pages contained in the paper,
and the reference to the full-text PDF
/r1/pdf.jpg) .
|
Article # 19_2018
19
p.
/r1/pdf.jpg)
PDF |
submitted on 15th
Oct 2018 displayed on
website on 19th Nov
2018 V. A. Shershneva, Y. V.
Vainshtein, T. O. Kochetkova
Adaptive system of web-based teaching
The study deals with the creation of an adaptive
system of web-based teaching. The principles put into the concept of
such a system development are formulated. The structure of the
system which includes the educational content model, the user model,
the adaptation model, and the learning outcomes assessment model is
presented in the article. Within the framework of the proposed
system an adaptive e-learning course of a mathematical discipline
has been developed and implemented into educational process. It is
proved that successful mastering the course contributes to
mathematical competence development of the students. (In Russian)
Key words: web-based teaching, adaptive e-learning course,
personalisation, mathematics teaching, competence-based approach. |
|
article citation |
http://psta.psiras.ru/read/psta2017_4_159-177.pdf |
|
DOI |
https://doi.org/10.25209/2079-3316-2018-9-4-159-177 |
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Article # 20_2018
19
p.
PDF |
submitted on 15th
Oct 2018 displayed on
website on 19th Nov
2018 V. A. Shershneva, Y. V.
Vainshtein, T. O. Kochetkova
Adaptive system of web-based teaching
The study deals with the creation of an adaptive
system of web-based teaching. The principles put into the concept of
such a system development are formulated. The structure of the
system which includes the educational content model, the user model,
the adaptation model, and the learning outcomes assessment model is
presented in the article. Within the framework of the proposed
system an adaptive e-learning course of a mathematical discipline
has been developed and implemented into educational process. It is
proved that successful mastering the course contributes to
mathematical competence development of the students.
Key words: web-based teaching, adaptive e-learning course,
personalisation, mathematics teaching, competence-based approach. |
|
article citation |
http://psta.psiras.ru/read/psta2017_4_179-197.pdf |
|
DOI |
https://doi.org/10.25209/2079-3316-2018-9-4-179-197 |
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Article #
21_2018
20
p.
PDF |
submitted on 10th
Jule 2018 displayed on
website on 19th Nov
2018 Sergey Zykov, Aleksey Neznanov,
Olga Maksimenkova
Tests for normality as mathematical support for educational
measurement software
The paper discusses estimation of
normality of data collected from educational
software. It reviews tests for normality which have discrete
approximations and may be directly implemented in
program systems. The paper discusses the
necessity of these tests to educational data and their place in
automation of education. The results of the review
are used a base of a test selection algorithm,
which can be used in an educational measurement software
system. (In Russian).
Key words: educational measurement, assessment, mathematical
support, test for normality, measurement results distribution,
program system, programming, software. |
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article citation |
http://psta.psiras.ru/read/psta2017_4_199-218.pdf |
|
DOI |
https://doi.org/10.25209/2079-3316-2018-9-4-199-218 |
• Содержание выпуска •
• Artificial Intelligence, Intelligence Systems, Neural Networks •
• Software and Hardware for Distributed Systems and Supercomputers •
• Mathematical Foundations of Programming •
• Information Systems in Culture and Education •
• Healthcare Information Systems •
• Methods for Optimal Control and Control Theory •
• Mathematical Modelling •
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