Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
Virtual Laboratories in Physics with Autogenerated Parameters. / Maksimov, M. A.; Monakhov, V. V.; Kozhedub, A. V.
в: Journal of Physics: Conference Series, Том 633, № 1, 012009, 21.09.2015.Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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TY - JOUR
T1 - Virtual Laboratories in Physics with Autogenerated Parameters
AU - Maksimov, M. A.
AU - Monakhov, V. V.
AU - Kozhedub, A. V.
N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2015/9/21
Y1 - 2015/9/21
N2 - The paper is devoted to a virtual laboratory system, which in particular can be used to test knowledge through research. The participant can prefer which tools to operate and what actions should be taken. For the most of the tasks, there are copious ways to obtain the correct solution. One of the most important features of the system that distinguish this one among other simulation packages and educational systems is the pseudo-random physical parameter generation technique. The technique supports constraints and relationships between variables. As a result, it provides correctness and equal complexity of the generated task. The system can be very complex and is highly customizable by internal script system executed on server-side. The system is used as a part of distolymp Learning Management System with about 40 thousand participants per year.
AB - The paper is devoted to a virtual laboratory system, which in particular can be used to test knowledge through research. The participant can prefer which tools to operate and what actions should be taken. For the most of the tasks, there are copious ways to obtain the correct solution. One of the most important features of the system that distinguish this one among other simulation packages and educational systems is the pseudo-random physical parameter generation technique. The technique supports constraints and relationships between variables. As a result, it provides correctness and equal complexity of the generated task. The system can be very complex and is highly customizable by internal script system executed on server-side. The system is used as a part of distolymp Learning Management System with about 40 thousand participants per year.
UR - http://www.scopus.com/inward/record.url?scp=84947273688&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/633/1/012009
DO - 10.1088/1742-6596/633/1/012009
M3 - Conference article
VL - 633
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
SN - 1742-6588
IS - 1
M1 - 012009
T2 - 4th International Conference on Mathematical Modeling in Physical Sciences, IC-MSquare 2015
Y2 - 5 June 2015 through 8 June 2015
ER -
ID: 76572558