Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICICS.2007.4449776
Title: An adaptive e-Learning portal for DSP learning
Authors: Hu, Y.
Lian, Y. 
Keywords: Adaptive learning
Bayesian network
Data mining
DSP
Personalized environment
Issue Date: 2007
Source: Hu, Y.,Lian, Y. (2007). An adaptive e-Learning portal for DSP learning. 2007 6th International Conference on Information, Communications and Signal Processing, ICICS : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICICS.2007.4449776
Abstract: 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. ©2007 IEEE.
Source Title: 2007 6th International Conference on Information, Communications and Signal Processing, ICICS
URI: http://scholarbank.nus.edu.sg/handle/10635/69271
ISBN: 1424409837
DOI: 10.1109/ICICS.2007.4449776
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