Интеллектуальная информационная технология в образовании
| Parent link: | Информационные технологии в науке, управлении, социальной сфере и медицине: сборник научных трудов III Международной научной конференции, 23-26 мая 2016 г., Томск.— , 2016 Ч. 1.— 2016.— [С. 442-446] |
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| Korporativní autor: | |
| Další autoři: | , , , |
| Shrnutí: | Заглавие с титульного экрана Intelligent information technology (IIT) for the purpose of education within the blended learning paradigm is discussed. The technology is based on the construction of mixed diagnostic tests (MDTs) used for decision-making. Each MDT represents a compromise between unconditional and conditional components. The cognitive graphic tools are used as IIT subsystem for decision justification. The IIT is proposed for control, students' knowledge monitoring, professional and personal skills and abilities development, and designing the learning trajectory for every student. A technique for IIT construction based on the MDTs, threshold and fuzzy logics, and cognitive graphic tools is suggested. |
| Jazyk: | ruština |
| Vydáno: |
2016
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| Edice: | Информационные технологии в образовании. Электронное обучение |
| Témata: | |
| On-line přístup: | http://earchive.tpu.ru/handle/11683/35912 |
| Médium: | Elektronický zdroj Kapitola |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=621456 |
| Shrnutí: | Заглавие с титульного экрана Intelligent information technology (IIT) for the purpose of education within the blended learning paradigm is discussed. The technology is based on the construction of mixed diagnostic tests (MDTs) used for decision-making. Each MDT represents a compromise between unconditional and conditional components. The cognitive graphic tools are used as IIT subsystem for decision justification. The IIT is proposed for control, students' knowledge monitoring, professional and personal skills and abilities development, and designing the learning trajectory for every student. A technique for IIT construction based on the MDTs, threshold and fuzzy logics, and cognitive graphic tools is suggested. |
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