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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21486

Title: Semantic web and ontologies for personalisation of learning in MOOCs
Authors: Sammour, George
Al-Zoubi, Abdallah
Gladun, Anatoly
Khala, Katerina
Schreurs, Jeanne
Issue Date: 2016
Publisher: IEEE
Citation: 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS), p. 183-186
Abstract: - A new approach for searching and selecting userrelevant MOOCs courses fitting the level of students' education and based on the semantie representation of the user's knowledge of the subject area is presented. This approach supports the search for relevant knowledge by the students during the active learning process of the course. The effectivity of the present ontology based technique is based on the fact that it is aimed on users with different levels of knowledge that can be represented as ontologies and thesauri.
Notes: Sammour, G (reprint author), PSUT, Amman, Jordan. George.sammour@psut.edu.jo; zoubi@psut.edu.jo; glanat@yahoo.com; cecerongreat@ukr.net; jeanne.schreurs@uhasselt.be
URI: http://hdl.handle.net/1942/21486
DOI: 10.1109/InteICIS.2015.7397219
ISI #: 000380470400028
ISBN: 9781509019496
Category: C1
Type: Proceedings Paper
Validation: ecoom, 2017
Appears in Collections: Research publications

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