A fully personalization strategy of E-learning scenarios

• Published in: Computers in human behavior Vol. 26; no. 4; pp. 581 - 591
• Main Authors: Essalmi, Fathi, Ayed, Leila Jemni Ben, Jemni, Mohamed, Kinshuk, Graf, Sabine
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.07.2010; Elsevier
• Subjects: Biological and medical sciences; Distance education; Distance learning; Educational psychology; Fundamental and applied biological sciences. Psychology; Human behavior; Interoperability; Learning; Learning scenarios; Linguistic variable; Mathematical models; Personalization parameters; Personalized E-learning systems; Psychology. Psychoanalysis. Psychiatry; Psychology. Psychophysiology; Psychopedagogics. Didactics; Strategy; Teachers; Web services; Learning scenarios; Web services; Personalized E-learning systems; Personalization parameters; Linguistic variable; Learning; Human; E-learning; Acquisition process; Customization; Strategy
• ISSN: 0747-5632; 1873-7692
• DOI: 10.1016/j.chb.2009.12.010

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.