2026-05-11T07:17:48.290Z http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai

ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:10263 2024-11-11T08:37:43Z 1

Ontology for personalization e-learning process in engineering education 2017 ISBN: 978-86-7672-303-4 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/10263 http://www.tfzr.uns.ac.rs/iizs/files/ezbornik2017.pdf J. Perišić M. Milovanović S. Ravić I. Stošić LJ. Radovanović M. Ristić This paper describes a modeling ontology framework for personalized e-learning process in engineering education. Propsed model is based on doamin MAU ontology. This ontology is the target created for Moodle LMS system. The main goal of this paper is to enable dynamic mechanisms for dynamic personalization process of student’s learning according to the adaptation criteria based on MAU ontology. Selected criteria for adaptative systems is based on the Felder-Silverman learning style model (FSLSM). Also, this work describes real time monitoring of students activities and their interactions in Moodle System. For this purpose everal semantic modules (plug-ins) have been implemented for Moodle platform. conferenceObject 16 23 2017 VII International Conference Industrial Engineering and Environmental Protection, Technical Faculty "Mihajlo Pupin," University of Novi Sad, Zrenjanin, Serbia