Data mining analysis of learning preferences among gifted students

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25619161%3A_____%2F17%3AN0000066" target="_blank" >RIV/25619161:_____/17:N0000066 - isvavai.cz</a>

Výsledek na webu

<a href="https://conference.pixel-online.net/FOE/files/foe/ed0007/FP/0766-EPD2442-FP-FOE7.pdf" target="_blank" >https://conference.pixel-online.net/FOE/files/foe/ed0007/FP/0766-EPD2442-FP-FOE7.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Data mining analysis of learning preferences among gifted students

Popis výsledku v původním jazyce

This paper presents selected results of data mining analysis of educational and psychological/psychometric data, collected within 5 years on the group of 91 children, who participated in a specific online educational program (math, programming and science) for gifted children, organized by Charles University in Prague. The information record for each student is represented by 151 variables, of both categorical and quantitative nature, describing 1) demographic characteristics, 2) personal characteristics, including motivation and intelligence 3) behavioral and action records and 4) particular educational results and learning paths. The study is based on comparison of students with very similar personal characteristics like motivation and intelligence and their study interests and results. Students, who chose the right courses, that matched their nature of talent and personal characteristics, succeed. Those, who for some reason choose the course that does not match his /her nature of talent, are more likely to fail. Both, course selection and connected success or failure within selected course, is affected mostly by all components of intelligence, except of crystalline, and also by selected components of motivation, especially Dominance, Independence and Persistence. The nature of talent seems to be determined besides factors mentioned above by selected components of creativity.

Název v anglickém jazyce

Data mining analysis of learning preferences among gifted students

Popis výsledku anglicky

This paper presents selected results of data mining analysis of educational and psychological/psychometric data, collected within 5 years on the group of 91 children, who participated in a specific online educational program (math, programming and science) for gifted children, organized by Charles University in Prague. The information record for each student is represented by 151 variables, of both categorical and quantitative nature, describing 1) demographic characteristics, 2) personal characteristics, including motivation and intelligence 3) behavioral and action records and 4) particular educational results and learning paths. The study is based on comparison of students with very similar personal characteristics like motivation and intelligence and their study interests and results. Students, who chose the right courses, that matched their nature of talent and personal characteristics, succeed. Those, who for some reason choose the course that does not match his /her nature of talent, are more likely to fail. Both, course selection and connected success or failure within selected course, is affected mostly by all components of intelligence, except of crystalline, and also by selected components of motivation, especially Dominance, Independence and Persistence. The nature of talent seems to be determined besides factors mentioned above by selected components of creativity.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Conference Proceedings. The Future of Education: 7th edition

ISBN

978-88-6292-868-7

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

234-239

Název nakladatele

Libreriauniversitaria.it

Místo vydání

Florenze, Italy

Místo konání akce

Florenze, Italy

Datum konání akce

1. 1. 2017

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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