Cluster analysis of student activity in a web-based intelligent tutoring system (CROSBI ID 219502)
Prilog u časopisu | prethodno priopćenje
Podaci o odgovornosti
Jugo, Igor ; Kovačić, Božidar ; Tijan, Edvard
engleski
Cluster analysis of student activity in a web-based intelligent tutoring system
In this paper we present a model of a system for integration of an intelligent tutoring system with data mining tools. The purpose of the integration is twofold ; a) to power the system adaptability based on clustering and sequential pattern mining, and b) to enable teachers (non-experts in data mining) to use data mining techniques in their web browser on a daily basis, and get useful visualizations that provide insights into the learning progress of their students. We also present an approach to clustering results evaluation developed so that the system can independently deduce the best number of clusters for the k-means algorithm as well as order the clusters in terms of learning efficiency of cluster members (students).
Intelligent tutoring systems ; Educational data mining ; Clustering students ; Maritime e-learning
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Podaci o izdanju
29 (1)
2015.
80-88
objavljeno
1332-0718
1846-8438
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo, Tehnologija prometa i transport