| Форма представления | Статьи в российских журналах и сборниках |
| Год публикации | 2020 |
| Язык | русский |
|
Бичурина Сеимбика Усмановна, автор
|
| Библиографическое описание на языке оригинала |
Vertical system analysis of students' psycho diagnostic data using the 'decision tree' method. Slavutskaya E. V., Abrykov V.S., Slavutskii L.A., Bichurina S.U., Sadovaya V.V. // SCIENCE FOR EDUCATION TODAY. Издательство: Новосибирский государственный педагогический университет (Новосибирск). Том: 10, №3, 2020. - С. 87-107. |
| Аннотация |
Introduction. Choosing forms and methods of psychological and educational support for students (individual and group-based) within the modern educational paradigm requires new means of data analysis. The purpose of this research is to investigate the possibilities of the 'Decision Tree' method, which is a modern tool available for practical educational psychologists, for vertical system analysis of psycho diagnostic data and the choice of forms and methods of psychological and educational support for students. Materials and Methods. Based on a systematic approach in Psychology and Education, using one of the data mining tools - the «decision tree« method, the problem of classifying the results of students' psycho diagnostics is considered. On the example of a vertical system analysis of pre-adolescent schoolchildren tests, a hierarchical structure of connections of their multi-level psychological characteristics (inclinations, individual psychological and psychosocial characteristics) is constructed... |
| Ключевые слова |
школьники предподросткового возраста, разноуровневые психологические характеристики, вертикальный системный анализ, латентные связи, интеллектуальный анализ данных, дерево решений, pre-adolescent schoolchildren, multi-level psychological characteristics, vertical system analysis, latent links, data mining, 'decision tree'
|
| Название журнала |
Science for Education Today
|
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=236916 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Бичурина Сеимбика Усмановна |
ru_RU |
| dc.date.accessioned |
2020-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2020-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2020 |
ru_RU |
| dc.identifier.citation |
Vertical system analysis of students' psycho diagnostic data using the 'decision tree' method. Slavutskaya E. V., Abrykov V.S., Slavutskii L.A., Bichurina S.U., Sadovaya V.V. // SCIENCE FOR EDUCATION TODAY. Издательство: Новосибирский государственный педагогический университет (Новосибирск). Том: 10, №3, 2020. - С. 87-107. |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=236916 |
ru_RU |
| dc.description.abstract |
Science for Education Today |
ru_RU |
| dc.description.abstract |
Introduction. Choosing forms and methods of psychological and educational support for students (individual and group-based) within the modern educational paradigm requires new means of data analysis. The purpose of this research is to investigate the possibilities of the 'Decision Tree' method, which is a modern tool available for practical educational psychologists, for vertical system analysis of psycho diagnostic data and the choice of forms and methods of psychological and educational support for students. Materials and Methods. Based on a systematic approach in Psychology and Education, using one of the data mining tools - the «decision tree« method, the problem of classifying the results of students' psycho diagnostics is considered. On the example of a vertical system analysis of pre-adolescent schoolchildren tests, a hierarchical structure of connections of their multi-level psychological characteristics (inclinations, individual psychological and psychosocial characteristics) is constructed... |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
школьники предподросткового возраста |
ru_RU |
| dc.subject |
разноуровневые психологические характеристики |
ru_RU |
| dc.subject |
вертикальный системный анализ |
ru_RU |
| dc.subject |
латентные связи |
ru_RU |
| dc.subject |
интеллектуальный анализ данных |
ru_RU |
| dc.subject |
дерево решений |
ru_RU |
| dc.subject |
pre-adolescent schoolchildren |
ru_RU |
| dc.subject |
multi-level psychological characteristics |
ru_RU |
| dc.subject |
vertical system analysis |
ru_RU |
| dc.subject |
latent links |
ru_RU |
| dc.subject |
data mining |
ru_RU |
| dc.subject |
'decision tree'
|
ru_RU |
| dc.title |
Вертикальный системный анализ данных психодиагностики учащихся с использованием метода «Дерево решений« |
ru_RU |
| dc.type |
Статьи в российских журналах и сборниках |
ru_RU |
|
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