Initializing the Tutor Model Using K-Means Algorithm

Part of the Studies in Computational Intelligence book series (SCI, volume 488)

Abstract

This paper proposes an approach for the initialization and the construction of tutor’s model in the e-learning systems. This actor has several roles and different tasks from a system to another. His main purpose is tracking and guiding students throughout their learning process. In their first interaction, the system has rather little information about its new tutors. The proposed approach serves to offer much information for each specific tutor based on the models of other similar tutors. The problem of initializing the tutor model can be resolved by assigning the tutor to certain group of tutors. Thus, a data mining algorithm, namely k-means is responsible for creating clusters based on the preentered information on tutors. Then, each new tutor is assigned to his closest cluster center. This model facilitates the assignment of tutors to learners for adapting the monitoring process.

Keywords

E-learning Tutoring Tutor model Profile Initialization K-means 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.LabSTIC LaboratoryUniversity of 8 May 1945 GuelmaGuelmaAlgeria

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