Прогнозирование успешности обучения в интегрированной образовательной среде с применением инструментов онлайн аналитики
Аннотация
Потребность формирования квалификаций и подготовки студентов к цифровому будущему меняет стратегии преподавания и подходы к процессу обучения в университетах в направлении цифрового проектирования учебного процесса. Расширяемое пространство доступных данных позволяет применять новые методы интеллектуального анализа образовательных данных (Educational data mining, EDM) с целью изучения уникальных типов данных, понимания действий учащихся, прогнозирования академических результатов, улучшения производительности учебного процесса, принятия управленческих решений и адаптации среды обучения.
Целью настоящей работы является создание персональной образовательной среды индивидуального сопровождения учащихся на основе модели когнитивного потенциала. Задача сопровождения процесса обучения состоит в том, чтобы на основе данных, получаемых в ходе процесса обучения, получить информацию о динамике когнитивного роста («роста» уровня знаний) каждого обучающегося.
Подход к прогнозированию успешности обучения на основе когнитивно-познавательной модели важен для понимания продуктивности освоения учебных материалов студентами в информационно-насыщенной среде.
Рассматривается задача классификации учащихся, прогнозирования успешности обучения для улучшения адаптации и настройки процесса обучения. Организация обратной связи в структуре процесса обучения на основе диагностирования индивидуальных различий учащихся позволяет управлять и настраивать сценарии обучения для улучшения индивидуального процесса. Интегрированная среда обучения реализована в веб-среде и объединяет традиционные средства обучения с инновационными цифровыми онлайн-средствами.
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