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Tekhnologii adaptivnogo testirovaniia: osobennosti i preimushchestva, razrabotka tipovogo algoritma

Технологии адаптивного тестирования: особенности и преимущества, разработка типового алгоритма
descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 02 Aug 2018Publisher:TSNS Interaktiv PlusJournal:Science and education: future development
Authors: Sergei Nikolaevich Larin; Evgenii Fedorovich Baranov; Tatiana Sergeevna Larina;

doi: 10.21661/r-472915

Tekhnologii adaptivnogo testirovaniia: osobennosti i preimushchestva, razrabotka tipovogo algoritma

Abstract

В современных условиях как никогда растет потребность в подготовке квалифицированных специалистов. Внедрение современных информационных технологий значительно ускоряет этот процесс. Вместе с тем возрастает значимость контроля уровня знаний обучаемых. Применение информационных технологий для достижения этих целей способствовало развитию методологии компьютерного адаптивного тестирования, которая сегодня обладает наиболее совершенным инструментарием для контроля и оценки уровня знаний обучаемых. Авторами статьи изложены основные особенности и преимущества применения методологии адаптивного тестирования, а также определены ключевые характеристики, которые были использованы для разработки типового алгоритма проведения адаптивных тестов.

Keywords

контроль, адаптивное тестирование, информационные технологии, оценка, уровень знаний обучаемых

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid