D 2014

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

LUSTIGOVÁ, Zdena

Základní údaje

Originální název

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

Autoři

LUSTIGOVÁ, Zdena

Vydání

Fiorenze, 8 s. 2014

Nakladatel

Pixel Associazione Culturale

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50300 5.3 Education

Stát vydavatele

Itálie

Utajení

není předmětem státního či obchodního tajemství

Organizační jednotka

University College Prague – Vysoká škola mezinárodních vztahů a Vysoká škola hotelová a ekonomická s.r.o.

Klíčová slova česky

disangagement; online students; log files analysis; data mining

Klíčová slova anglicky

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

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 27. 2. 2014 10:33, doc. RNDr. Zdena Lustigová, CSc.

Anotace

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.