An adaptive E-learning portal for DSP learning

Author

Hu, YingPing ; Lian, Yong

Author_Institution

Nat. Univ. of Singapore, Singapore

fYear

2007

fDate

10-13 Dec. 2007

Firstpage

1

Lastpage

5

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.

Keywords

belief networks; computer aided instruction; data mining; digital signal processing chips; portals; teaching; telecommunication computing; telecommunication engineering education; Bayesian network technology; DSP learning; LearningVista; adaptive e-learning portal; backend data mining engine; classroom teaching; personalized learning materials; Bayesian methods; Data mining; Digital signal processing; Education; Electronic learning; Engines; Equations; Feedback; Multimedia systems; Portals; DSP; adaptive learning; bayesian network; data mining; personalized environment;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications & Signal Processing, 2007 6th International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-0982-2

Electronic_ISBN

978-1-4244-0983-9

Type

conf

DOI

10.1109/ICICS.2007.4449776

Filename

4449776