kemsuСибСкриптSibScript2949-21222949-2092Kemerovo State University10.21603/2078-8975-2021-23-1-156-165kemsu-4934Research ArticleПсихологияPsychologyТехнологические задачи психологического обеспечения мониторинга действий пользователей в электронной образовательной среде современного вузаActivity Monitoring in the Digital Learning Environment of a Modern University: Technological Tasks of Psychological Supporthttps://orcid.org/0000-0003-4214-8065БредунЕ. В.BredunE. V.

Екатерина Валерьевна Бредун

Томск

Ekaterina V. Bredun

Tomsk

bredun.88@mail.ruhttps://orcid.org/0000-0002-3837-3756ВаулинаТ. А.VaulinaТ. A.

Татьяна Анатольевна Ваулина

Томск

Tatiana A. Vaulina

Tomsk

https://orcid.org/0000-0002-3716-7707ШамаковВ. А.ShamakovV. A.

Виктор Анатольевич Шамаков

Томск

Viktor A. Shamakov

Tomsk

https://orcid.org/0000-0003-3360-038XЩегловаЭ. А.ShcheglovaE. A.

Элеонора Анатольевна Щеглова

Томск

Eleonora A. Shcheglova

Tomsk

Национальный исследовательский Томский государственный университетРоссияTomsk State UniversityRussian Federation202110042021231156165Copyright © Бредун Е.В., Ваулина Т.А., Шамаков В.А., Щеглова Э.А., 20212021Бредун Е.В., Ваулина Т.А., Шамаков В.А., Щеглова Э.А.Bredun E.V., Vaulina Т.A., Shamakov V.A., Shcheglova E.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.sibscript.ru/jour/article/view/4934

Представлен краткий анализ существующих подходов к использованию возможностей мониторинга цифрового следа пользователя в электронной образовательной среде для решения задач проектирования интеллектуальных сред обучения и прогнозирования моделей взаимодействия с информационной средой. Описаны основные методические приемы анализа содержания результатов мониторинга действий пользователей в электронной информационнообразовательной среде (модели действий пользователей в LMS Moodle), в том числе и возможности использования образовательных датасетов как удобного ресурса для дистанционного образования студентов. Показаны технические приемы аутентификации не на основе знания, которым обладает человек, а на основе подтверждения индивидуального цифрового портрета пользователя. Представлены обобщенные результаты исследования, отражающие стилевые особенности поведения и наиболее типичные сценарии работы студентов в электронной информационно-образовательной среде и позволяющие выделить наиболее характерные типологические признаки когнитивного поведения. Полученные аналитические данные обсуждаются в контексте привлечения технологических подходов к психологическому обеспечению мониторинга действий пользователей в электронной образовательной среде современного вуза для решения задач создания более эффективных когнитивных интерфейсов, которые могут адаптироваться к пользователю учебной среды, персонализируя среду под конкретного пользователя.

The paper reviews the existing approaches to using digital footprints in the digital learning environment. Monitoring digital footprints of university students can help to design smart learning environment and predict models of interaction between this environment and the user. The article covers the main analysis tools that can be applied to activity monitoring in LMS Moodle, including datasets as a convenient resource for distant learning. The authors studied authentication techniques that are based not on one’s knowledge but on the confirmation of one’s digital profile. The research results revealed some personal styles and patterns of cognitive behavior that reflect students’ work in the digital learning environment. The research results can be used to develop new psychological support of activity monitoring of the digital university environment, as well as to create new effective cognitive user-friendly interfaces.

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The authors declare that there are no conflicts of interest present.