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Pregled bibliografske jedinice broj: 800570

Časopis

Autori: Jugo, Igor; Kovačić, Božidar; Slavuj, Vanja
Naslov: Increasing the adaptivity of an intelligent tutoring system with educational data mining: a system overview
( Increasing the adaptivity of an intelligent tutoring system with educational data mining: a system overview )
Izvornik: International Journal of Emerging Technologies in Learning (1868-8799) 11 (2016), 3; 67-70
Vrsta rada: članak
Ključne riječi: e-learning ; intelligent tutoring systems ; educational data mining ; adaptive e-learning
( 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: eng
Rad je indeksiran u
bazama podataka:
Scopus
Kategorija: Znanstveni
Znanstvena područja:
Informacijske i komunikacijske znanosti
URL Internet adrese: http://online-journals.org/index.php/i-jet
URL cjelovitog teksta:
Google Scholar: Increasing the adaptivity of an intelligent tutoring system with educational data mining: a system overview
Upisao u CROSBI: Igor Jugo (ijugo@inf.uniri.hr), 14. Vel. 2016. u 23:57 sati



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