A Method of Building Learner Model in Personalized e-Learning

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Author(s): Xiyuan Wu (Xi’an Jiaotong University, China), Qinghua Zheng (Xi’an Jiaotong University, China), Hao Wang (Xi’an Jiaotong University, China), Haifei Li (Union University, USA)and Guangdong Liu (Xi’an Jiaotong University, China)
Copyright: 2010
Pages: 26
Source title: Novel Developments in Web-Based Learning Technologies: Tools for Modern Teaching
Source Author(s)/Editor(s): Nikos Karacapilidis (University of Patras, Greece)
DOI: 10.4018/978-1-60566-938-0.ch008

Keywords: Education / Educational Technologies / Information Science Reference / Web-Based Teaching & Learning

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Abstract

Learner modeling is the key aspect in personalized e-learning. The quality of the personalization largely depends on the accuracy of the learner model. The core data of a learner model include generally learner’s personality characteristics, interesting etc. While personality characteristics can describe a learner’s stable traces internally, interest can describe something that a learner wants externally. But, a learner’s personality characteristic may have many attributes, and all of them may not have equal values, while learner interests exist implicitly in the information of learner network behavior. The work discusses and evaluates how to find the key personality attributes and their weight, and how to mine learner interest from learner behavior. The method has been successfully used in China e-learning for a major research university. The experimental evaluation shows the modeling method is effective in personalized e-learning.

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A Method of Building Learner Model in Personalized e-Learning

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