Publ3 search

Z6_60GI02O0O8IDC0QEJUJ26TJDI4

Error:

Javascript is disabled in this browser. This page requires Javascript. Modify your browser's settings to allow Javascript to execute. See your browser's documentation for specific instructions.

Publikační činnost

Probíhá načítání, čekejte prosím...

Record type:	stať ve sborníku (D)
Home Department:	Katedra informačních a komunikačních technologií (45080)
Title:	Computer Analysis and Classification of Learning Characteristics
Citace	Zoubek, L. Computer Analysis and Classification of Learning Characteristics. In: Proceedings of International Conference on Electronics and Information Engineering. s. 320-323. ISBN 978-1-4244-7679-4.

Subtitle
Publication year:	2010
Obor:	Informatika
Number of pages:	4
Page from:	320
Page to:	323
Form of publication:
ISBN code:	978-1-4244-7679-4
ISSN code:
Proceedings title:	Proceedings of International Conference on Electronics and Information Engineering
Proceedings:	Mezinárodní
Publisher name:	Neuveden
Place of publishing:	Neuveden
Country of Publication:	Sborník vydaný v zahraničí
Název konference:	International Conference on Electronics and Information Engineering ICEIE 2010
Místo konání konference:	Kyoto, Japan
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Celosvětová akce
WoS code:
EID:

Key words in English:	data mining; education; e-learning; personalized instruction
Annotation in original language:	The paper presents a research focused on automatic analysis of the data characterizing learning characteristics of students. This analysis is important step for development of individualized e-learning system. Cluster analysis is used to identify dominant groups of students characterized with similar learning characteristics and then, decision trees are used to describe the dominant groups in a comprehensive way using significant attributes.
Annotation in english language:

References

Reference

R01:	RIV/61988987:17450/10:A1100YJO

Complementary Content

${loading}