A fully personalization strategy of E-learning scenarios

Fathi Essalmi, Leila Jemni Ben Ayed, Mohamed Jemni, Kinshuk, Sabine Graf

Research output: Contribution to journalJournal Articlepeer-review

159 Citations (Scopus)

Abstract

The personalization in E-learning systems has been the subject of many recent research efforts. While a large number of systems have been implemented, many of these systems allow the application of very few if not just one predefined personalization strategy. This is a constraint for providing effective E-learning experience and for rationalizing the personalization needs of the pedagogues, the professors and the learners. In this paper, we propose a new approach for personalization of learning scenarios based on two levels: The first level allows the personalization of learning scenarios according to a predefined personalization strategy. The second level allows teachers to select personalization parameters and combine them flexibly to define different personalization strategies according to the specifics of courses. The proposed solution is a step to federate the research efforts on the E-learning personalization by integrating and combining the personalization parameters. Concerning the technological aspect, Web service technology constitutes an operational solution for implementing our approach and for the interoperability with other E-learning personalization systems. Beside the implementation of an interoperable solution, we also aim to enable teachers to provide proper personalized learning scenarios.

Original languageEnglish
Pages (from-to)581-591
Number of pages11
JournalComputers in Human Behavior
Volume26
Issue number4
DOIs
Publication statusPublished - Jul. 2010

Keywords

  • Learning scenarios
  • Linguistic variable
  • Personalization parameters
  • Personalized E-learning systems
  • Web services

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