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Pregled bibliografske jedinice broj: 809349

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


Rudan, Igor; Kovačić, Božidar
Cluster analysis of student activity in a web-based intelligent tutoring system // Pomorstvo, 29 (2015), 1; 75-83 (međunarodna recenzija, prethodno priopcenje, znanstveni)


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

Autori
Rudan, Igor ; Kovačić, Božidar

Izvornik
Pomorstvo (1332-0718) 29 (2015), 1; 75-83

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

Ključne riječi
Vessel types ; Maritime students ; Faculty Education ; Elective courses

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
Tehnologija prometa i transport



POVEZANOST RADA


Ustanove
Pomorski fakultet, Rijeka

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • BMT
  • CSA-Oceanic Abstracts
  • EBSCO Publishing
  • HRČAK
  • TRIS