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Применение адаптивной автоматизированной системы обучения гуманитарным дисциплинам для повышения качества подготовки специалистов

Применение адаптивной автоматизированной системы обучения гуманитарным дисциплинам для повышения качества подготовки специалистов

Abstract

Предлагается эффективный способ повышения качества подготовки специалистов при изучении гуманитарных дисциплин разработка и использование в учебном процессе адаптивной автоматизированной системы обучения, позволяющей осуществлять хранение, пополнение и модификацию большого объема данных, формировать знания и умения с учетом индивидуальных особенностей студентов, проводить систематический фронтальный контроль уровня усвоения материала с последующим анализом допущенных ошибок.The effective way of specialists preparation quality improvement is proposed the development and the use of education adaptive computer-based system in process of training that make it possible to storage, to increase and to modify data large volume, to form the knowledge and abilities considering students individual peculiarities, to conduct a check of every student material learning level with following errors analysis.

Keywords

ПОВЫШЕНИЕ КАЧЕСТВА ПОДГОТОВКИ СПЕЦИАЛИСТОВ,ИНДИВИДУАЛИЗАЦИЯ ОБУЧЕНИЯ ГУМАНИТАРНЫМ ДИСЦИПЛИНАМ,АДАПТАЦИЯ ДИАЛОГА ПОЛЬЗОВАТЕЛЯ И АВТОМАТИЗИРОВАННОЙ СИСТЕМЫ,SPECIALISTS PREPARATION QUALITY IMPROVEMENT,HUMANITIES EDUCATION INDIVIDUALIZATION,USER AND COMPUTER-BASED SYSTEM DIALOGUE ADAPTATION

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    popularity
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    influence
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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