Title :
Computer analysis and classification of learning characteristics
Author_Institution :
Department of Information and Communication Technologies, University of Ostrava Ostrava, Czech Republic
Abstract :
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.
Keywords :
"Databases","Classification tree analysis","System-on-a-chip","Accuracy","Electronic learning"
Conference_Titel :
Electronics and Information Engineering (ICEIE), 2010 International Conference On
Print_ISBN :
978-1-4244-7679-4
DOI :
10.1109/ICEIE.2010.5559866
