Pregled bibliografske jedinice broj: 800570
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 // International journal: emerging technologies in learning, 11 (2016), 3; 67-70 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 800570 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
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: 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
POVEZANOST RADA
Ustanove:
Fakultet informatike i digitalnih tehnologija, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus