Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2764

Full Length Research Paper

ILOMPEL: Information and metadata modeling for personalized e-learning

Dragica Jovanovic1, Malisa Zizovic2 and Danijela Milosevic3*
1Railway College, Zdravka Celara 1, 11000 Belgrade, Serbia. 2University Singidunum, Danijelova 32, 11000 Belgrade, Serbia. 3Technical Faculty Cacak, University of Kragujevac, Svetog Save 65, 32000 Cacak, Serbia.
Email: [email protected] or [email protected]

  •  Accepted: 10 January 2012
  •  Published: 31 March 2012


This paper presents the pedagogically and psychologically engaged Personalized e-Learning Course Model (PeLCoM) and the Information Learning Object Model for Personalized e-Learning (ILOMPeL), based on variations of students’ intellectual profiles. Developed information learning object model makes clear the set of learning resources and organizes them in the way that it is possible to pack them, sequence, and to compose them into a complex learning units, offering wide range of the personalized e-learning experience. Furthermore, the three types of LO are noticed and they are responsible for: the course content itself, content presentation and content aggregation. The role of each LO is described with a set of metadata, composed of the vector XYZ. The metadata defines properties, relationships and dependences between the learning objects and provides LO reusability, LO aggregations and LO sequencing in objects’ hierarchies. Investigation and evaluation of the described personalized e-learning course model would help students in different parts of the learning cycle. Description and discussion of the possible results of the e-learning personalization evaluation process is done.


Key words: E-learning, evaluation, metadata, learning objects, personalization.