A survey on learner models in adaptive E-learning systems

E-learning became an omnipresent concept in modern education thanks to the rapid development of Information and Communication Technology for Education. Along with this exponential evolution, the learner plays a central role in both traditional and computer-assisted learning. Accordingly, the learner's individual differences have a remarkable potential to improve his/her performance and motivation. This is ensured by providing an adaptive learning support. The present paper presents a survey of learner modeling in adaptive E-learning systems while describing the main methods for extracting of the personalization parameters. The learner's modeling does not only interest researchers and developers, but also pedagogues, course' designer and tutors.