LUSTIGOVÁ, Zdena. Data mining analysis of learning preferences among gifted students. 1st ed. Florenze, Italy: Libreriauniversitaria.it, 2017, p. 234-239, 460 pp. ISBN 978-88-6292-868-7.
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Basic information
Original name Data mining analysis of learning preferences among gifted students
Name in Czech Dataminingová analýzavzdělávacích preferencí mezi talentovanými studenty
Authors LUSTIGOVÁ, Zdena.
Edition 1. vyd. Florenze, Italy, p. 234-239, 460 pp. 2017.
Publisher Libreriauniversitaria.it
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 50300 5.3 Education
Country of publisher Italy
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
Organization unit University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.
ISBN 978-88-6292-868-7
Keywords (in Czech) datamining, gifted students
Keywords in English datamining, gifted students
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Zdena Lustigová, CSc., učo 12440. Changed: 31/8/2017 12:27.
Abstract
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.
Abstract (in Czech)
CLánek prezentuje některé výsledky datamingové nalýzy na vzorku cca 100 talentovaných studentů v průběhu několika let jejich práce v online prostředí.
PrintDisplayed: 21/7/2024 23:04