Applying Recommender Systems and Adaptive Hypermedia for e-Learning Personalizatio
Boban Vesin ; Aleksandra Klašnja-Milićević; Higher School of Professional Business Studies, Novi Sad ; Mirjana Ivanović; Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Novi Sad ; Zoran Budimac; Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Novi Sad
Computing and Informatics, Tome 31 (2013) no. 6, / Harvested from Computing and Informatics
Text on Computing and Informatics
Learners learn differently because they are different -- and they grow more distinctive as they mature. Personalized learning occurs when e-learning systems make deliberate efforts to design educational experiences that fit the needs, goals, talents, and interests of their learners. Researchers had recently begun to investigate various techniques to help teachers improve e-learning systems. In this paper we present our design and implementation of an adaptive and intelligent web-based programming tutoring system -- Protus, which applies recommendation and adaptive hypermedia techniques. This system aims at automatically guiding the learner's activities and recommend relevant links and actions to him/her during the learning process. Experiments on real data sets show the suitability of using both recommendation and hypermedia techniques in order to suggest online learning activities to learners based on their preferences, knowledge and the opinions of the users with similar characteristics.
Publié le : 2013-07-10
Classification:  e-learning, recommendation, personalization, adaptive hypermedia, ontology, semantic web, tutoring system,  68T05, 68N15, 68N19 
@article{cai1736,
     author = {Boban Vesin and Aleksandra Kla\v snja-Mili\'cevi\'c; Higher School of Professional Business Studies, Novi Sad and Mirjana Ivanovi\'c; Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Novi Sad and Zoran Budimac; Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Novi Sad},
     title = {Applying Recommender Systems and Adaptive Hypermedia for e-Learning Personalizatio},
     journal = {Computing and Informatics},
     volume = {31},
     number = {6},
     year = {2013},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai1736}
}

Boban Vesin; Aleksandra Klašnja-Milićević; Higher School of Professional Business Studies, Novi Sad; Mirjana Ivanović; Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Novi Sad; Zoran Budimac; Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Novi Sad. Applying Recommender Systems and Adaptive Hypermedia for e-Learning Personalizatio. Computing and Informatics, Tome 31 (2013) no. 6, . http://gdmltest.u-ga.fr/item/cai1736/