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Pregled bibliografske jedinice broj: 800570

Increasing the adaptivity of an intelligent tutoring system with educational data mining: a system overview


Jugo, Igor; Kovačić, Božidar; Slavuj, Vanja
Increasing the adaptivity of an intelligent tutoring system with educational data mining: a system overview // International Journal of Emerging Technologies in Learning, 11 (2016), 3; 67-70 (međunarodna recenzija, članak, znanstveni)


Naslov
Increasing the adaptivity of an intelligent tutoring system with educational data mining: a system overview

Autori
Jugo, Igor ; Kovačić, Božidar ; Slavuj, Vanja

Izvornik
International Journal of Emerging Technologies in Learning (1868-8799) 11 (2016), 3; 67-70

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
E-learning ; intelligent tutoring systems ; educational data mining ; adaptive e-learning

Sažetak
Intelligent Tutoring Systems (ITSs) are inherently adaptive e-learning systems usually created for teaching well-defined domains (e.g., mathematics). Their objective is to guide the student towards a predefined goal such as completing a lesson, task, or mastering a skill. Defining goals and guiding students is more complex in ill-defined domains where the expert defines the model of the knowledge domain or the students have freedom to follow their own path through it. In this paper we present an overview of our system’s architecture that integrates the ITS with data mining tools and performs a number of educational data mining processes to increase the adaptivity and, consequently, the efficiency of the ITS.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



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Ustanove
Sveučilište u Rijeci - Odjel za informatiku

Časopis indeksira:


  • Scopus