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Pregled bibliografske jedinice broj: 767615

Cluster analysis of student activity in a web-based intelligent tutoring system


Jugo, Igor; Kovačić, Božidar; Tijan, Edvard
Cluster analysis of student activity in a web-based intelligent tutoring system // Pomorstvo : journal of maritime studies, 29 (2015), 1; 80-88 (podatak o recenziji nije dostupan, prethodno priopcenje, znanstveni)


Naslov
Cluster analysis of student activity in a web-based intelligent tutoring system

Autori
Jugo, Igor ; Kovačić, Božidar ; Tijan, Edvard

Izvornik
Pomorstvo : journal of maritime studies (1332-0718) 29 (2015), 1; 80-88

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prethodno priopcenje, znanstveni

Ključne riječi
Intelligent tutoring systems; Educational data mining; Clustering students; Maritime e-learning

Sažetak
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).

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Tehnologija prometa i transport, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Ustanove
Pomorski fakultet, Rijeka,
Sveučilište u Rijeci - Odjel za informatiku

Časopis indeksira:


  • Scopus


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  • Geobase
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  • SCOPUS
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