TY - JOUR
T1 - A fully personalization strategy of E-learning scenarios
AU - Essalmi, Fathi
AU - Ayed, Leila Jemni Ben
AU - Jemni, Mohamed
AU - Kinshuk,
AU - Graf, Sabine
PY - 2010/7
Y1 - 2010/7
N2 - 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.
AB - 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.
KW - Learning scenarios
KW - Linguistic variable
KW - Personalization parameters
KW - Personalized E-learning systems
KW - Web services
UR - http://www.scopus.com/inward/record.url?scp=77955231209&partnerID=8YFLogxK
U2 - 10.1016/j.chb.2009.12.010
DO - 10.1016/j.chb.2009.12.010
M3 - Journal Article
AN - SCOPUS:77955231209
SN - 0747-5632
VL - 26
SP - 581
EP - 591
JO - Computers in Human Behavior
JF - Computers in Human Behavior
IS - 4
ER -