Title :
An Intelligent Agent for Personalized E-Learning
Author :
Lin, Jin-Ling ; Chen, Ming-Hung
Author_Institution :
Dept. of Inf. Manage., Shih-Hsin Univ., Taipei
Abstract :
When people browse the learning materials on a Web site, the sequence of content they browse might not have any particular relations. Therefore, the proposed research tries to build an intelligent agent for discovering a specific learner´s interests in different knowledge fields dynamically, instead of finding the sequence of content he browses. Naive Bayesian classifier (NBC for short) is used as the approach of prospecting and analyzing learner´s interests. Push technology is applied to do recommendation of new coming learning materials based on the suggestion obtained by NBC. The simulation results show the power of the proposed intelligent agent.
Keywords :
Bayes methods; Web sites; computer aided instruction; software agents; Naive Bayesian classifier; Web site; intelligent agent; learning materials; personalized e-learning; Association rules; Bayesian methods; Electronic learning; Information management; Intelligent agent; Intelligent systems; Niobium compounds; Particle measurements; Performance analysis; Scattering;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.250
