KFU. Card publication. Вертикальный системный анализ данных психодиагностики учащихся с использованием метода «Дерево решений«

KAZAN
FEDERAL UNIVERSITY

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ВЕРТИКАЛЬНЫЙ СИСТЕМНЫЙ АНАЛИЗ ДАННЫХ ПСИХОДИАГНОСТИКИ УЧАЩИХСЯ С ИСПОЛЬЗОВАНИЕМ МЕТОДА &LAQUO;ДЕРЕВО РЕШЕНИЙ&LAQUO;

Form of presentation

Articles in Russian journals and collections

Year of publication

2020

Язык

русский

Authors, employees of KFU

Bichurina Seimbika Usmanovna, author

Bibliographic description in the original language

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. Izdatelstvo: Novosibirskiy gosudarstvennyy pedagogicheskiy universitet (Novosibirsk). Tom: 10, №3, 2020. - S. 87-107.

Annotation

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...

Keywords

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'

The name of the journal

Science for Education Today

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=236916&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Bichurina Seimbika Usmanovna	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/eng/?p_id=236916&p_lang=2	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	Articles in Russian journals and collections	ru_RU