Personalized learning strategies in an intelligent e-learning environment

Abstract

Networked education is developing increasingly toward the direction of personalization. Inspired by the personality analysis process based on a learner model, a method for customizing personalized learning strategies was presented. Its process is as follows, firstly, aiming at the weakness of the personality description method and the lack of effective personality analysis method in current researches of learning strategies personalization, a learner personality model which can support learner personality analysis by static and dynamic methods in an intelligent e-learning environment was proposed. Secondly, a personality analysis process using data mining technologies based on the learner model was introduced. Finally, a prototype system of learning strategies personalization was designed and implemented according to the learner model and process. The experiment results showed the process's availability and functionality, such as acquiring learners' personalities by static and dynamic methods, and customizing individual learning strategies. ©2007 IEEE.