An adaptive E-learning portal for DSP learning

This paper presents a novel adaptation mechanism taking student's preferences, knowledge and motivation states into account when it delivers the personalized learning materials to each learner through the customized interface. The adaptation is implemented with the help of a backend data mining...

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Bibliographic Details
Published in2007 6th International Conference on Information, Communications & Signal Processing pp. 1 - 5
Main Authors YingPing Hu, Yong Lian
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2007
Subjects
adaptive learning
Bayesian methods
bayesian network
Data mining
Digital signal processing
DSP
Education
Electronic learning
Engines
Equations
Feedback
Multimedia systems
personalized environment
Portals
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Summary:This paper presents a novel adaptation mechanism taking student's preferences, knowledge and motivation states into account when it delivers the personalized learning materials to each learner through the customized interface. The adaptation is implemented with the help of a backend data mining engine and the Bayesian network technologies. To show the effectiveness of the proposed mechanism, an e-learning portal, LearningVista, is constructed to support large classroom teaching. The initial feedback from students shows a positive sign in helping students to achieve better learning outcomes.
ISBN:1424409829
9781424409822
DOI:10.1109/ICICS.2007.4449776