D 2014

Data Mining Techniques for Detecting Behavioral Patterns of Gifted Students in Online Learning Environment (Case Study)

LUSTIGOVÁ, Zdena

Basic information

Original name

Data Mining Techniques for Detecting Behavioral Patterns of Gifted Students in Online Learning Environment (Case Study)

Authors

LUSTIGOVÁ, Zdena

Edition

Fiorenze, 8 pp. 2014

Publisher

Pixel Associazione Culturale

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

50300 5.3 Education

Country of publisher

Italy

Confidentiality degree

není předmětem státního či obchodního tajemství

Organization unit

University College Prague – University of International Relations and Institute of Hospitality Management and Economics, Ltd.

Keywords (in Czech)

disangagement; online students; log files analysis; data mining

Keywords in English

behavioural patterns; gifted students; virtual learning environment; data mining

Tags

International impact, Reviewed
Změněno: 27/2/2014 10:33, doc. RNDr. Zdena Lustigová, CSc.

Abstract

V originále

This paper presents selected results of data mining analysis of psychological and educational data, collected within 5 years (2006-2011), on the group of 91 children, who participated in a specific online program for gifted children, organised by faculty of Mathematics and Physics, Charles University in Prague, Czech Republic. The information record for each case (student) is represented by 151 variables, of both categorical and metric nature, describing 1) personal characteristics, including motivation and intelligence 2) behavioral and action records, including individual decision making records, and 3) particular educational results and learning path. The study is based on comparison of students with very similar personal characteristics like motivation and intelligence and their study results. The success in a selected online course seems to be related to the nature of particular student talent. Student, who had chosen the right courses, that matched his/her nature of talent, succeed. An individual, who for some reason chooses the course that does not match his /her nature of talent, is more likely to fail.
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