The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:

Intelligent technologies: learning objects personalisation using Semantic Web methods and technologies, real-life application examples


Speaker: Dr. Eugenijus Kurilovas
Affiliation: Vilnius Gediminas Technical University and Vilnius University, Lithuania
Category: Colloquium
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Wednesday, September 16, 2015
Time: 11:00-12:00 EET
Host: Georgia Kapitsaki ( and Pedro Trancoso (

Colloquium aims at presenting research results on Web 3.0 – based personalisation of learning objects in repositories and virtual learning environments. Learning personalisation is analysed in terms of suitability of learning objects to particular learning styles. Literature review has shown that from standardisation perspective the current versions of learning objects’ specifications do not support personalised learning, and Web 3.0 approach based on RDF, XML and ontologies is suitable to personalise learning objects. Problem solving activity example is provided to illustrate the model. The novel sets portrait analysing interconnections between students’ learning styles, their preferred learning activities, relevant teaching / learning methods, and learning object types is presented in more detail. The well-known standardised vocabularies of teaching / learning methods and learning object types are used to establish these interconnections. The sets portrait of these interconnections is followed by the appropriate ontology. The ontology is considered as an appropriate tool to create learners’ personalised learning environments, consisting of learning objects, suitable teaching / learning methods and activities according to their preferred learning styles. The ontology should help the learner to find suitable learning objects according to preferred learning methods / activities, and vice versa, and thus to personalise learning. In general, students’ learning styles and other personal needs are considered as the main success factors in their learning and professional career.

Short Bio:
Eugenijus KURILOVAS is Associate Professor at Vilnius Gediminas Technical University and Senior Research Scientist at Vilnius University Institute of Mathematics and Informatics. Dr. E. Kurilovas is a member of 36 committees of international scientific journals and conferences, has published over 80 scientific papers and 6 books, and participated in over 30 EU-funded R&D projects and studies. His research area is technology-enhanced learning (e-learning): (1) Intelligent technologies for education and learning personalisation: multiple criteria decision making; Semantic Web applications; intelligent agents etc. (2) Mobile technologies in education; (3) Interoperability of e-learning system components: learning objects, repositories, activities, virtual learning environments etc. He is guest editor in “Journal of Universal Computer Science”, “Computers in Human Behavior”, and “International Journal of Engineering Education”, and reviewer in 12 journals abstracted / indexed in Thomson ISI Web of Science. He is also the author of 13 best paper awards at international conferences. Dr. E. Kurilovas is honoured as TOP 100 Scientist – 2014 by International Biographical Centre, Cambridge, and his biographical records are included in: Who is Who in the World – 2014 and 2015 (31st and 32nd Edition); 2000 Outstanding Intellectuals of the XXIst Century – 2014 (8th Edition); Who is Who in Science and Engineering – 2016-2017 (12th Edition); Dictionary of International Biography – 2014 and 2015 (37th and 38th Edition). For more information, please see

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Sponsor: The CS Colloquium Series is supported by a generous donation from Microsoft