Pregled bibliografske jedinice broj: 726650
Identification and Analysis of Characteristics of Intelligent and Adaptive Hypermedia E- learning Systems
Identification and Analysis of Characteristics of Intelligent and Adaptive Hypermedia E- learning Systems // Recent Advances in Educational Technologies and Methodologies / Mastorakis, Nikos E., Bojković, Zoran, Rudas, Imre J. (ur.).
Lisabon: WSEAS Press, 2014. str. 34-45 (pozvano predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 726650 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Identification and Analysis of Characteristics of Intelligent and Adaptive Hypermedia E- learning Systems
Autori
Gligora Marković , Maja ; Jakupović , Alen ; Kovačić , Božidar
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Recent Advances in Educational Technologies and Methodologies
/ Mastorakis, Nikos E., Bojković, Zoran, Rudas, Imre J. - Lisabon : WSEAS Press, 2014, 34-45
ISBN
978-960-474-395-7
Skup
International Conference on Education and Educational Technology (EDU'14)
Mjesto i datum
Lisabon, Portugal, 30.10.2014. - 01.11.2014
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
adaptive hypermedia e-learning systems ; intelligent e-learning systems ; e-learning systems ; individual personalisation ; inference mechanism ; adaptivity criteria characteristics
(adaptive hypermedia e-learning systems ; intelligent e-learning systems ; e-learning systems ; individual personalisation ; inference mechanism ; adaptivity criteria characteristics.)
Sažetak
The main aim of this research is to identify and analyse the characteristics of intelligent and adaptive hypermedia e-learning systems (IAHe-LS) by examining published scientific papers indexed in relevant databases. Most of the papers were published during 2011 and 2012. From 1170 analysed papers, 61 systems were identified. The description of system architecture was used as the selection criterion, which yielded 21 characteristics used to describe the systems, namely: learning style, cognitive style, adaptivity inference mechanism, granularity of learning content, pedagogical model, domain knowledge model, learner activity tracking, knowledge testing, testing previously acquired knowledge, experimental use, form of presented content, adaptivity criteria, standardisation, system interface model, teacher model, description model, and interactive tools. In this paper, special attention is given to adaptivity inference mechanism and adaptivity criteria characteristics.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti, Pedagogija
POVEZANOST RADA
Ustanove:
Veleučilište u Rijeci,
Fakultet informatike i digitalnih tehnologija, Rijeka
