Computer analysis and classification of learning characteristics

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.