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Personalized Teaching Platform Based on Web Data Mining

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Author(s)
Wang, Lan-zhong
Shandong University
Keywords
personalized teaching platform
modern distance education
web data mining

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URI
http://hdl.handle.net/20.500.12424/795922
Online Access
http://www.online-journals.org/index.php/i-jet/article/view/6253
Abstract
The purpose of this study is to develop a distance personalized teaching platform. The web data mining is used for the construction of the system and by analyzing the character of web data mining (WDM) and the essence of personalization teaching and instruction, based on WDM, The system contains knowledge base, individual database, WDM and web server four modules. The web data mining is used for the construction of the system and by analyzing the character of web data mining (WDM) and the essence of personalization teaching and instruction. Simulation results show that model has important enlightenment and pushing effect for promoting the individual service and improving teaching quality of modern distance education.
Date
2016-11-29
Type
info:eu-repo/semantics/article
Identifier
oai:ojs.pkp.sfu.ca:article/6253
http://www.online-journals.org/index.php/i-jet/article/view/6253
10.3991/ijet.v11i11.6253
Copyright/License
Copyright (c) 2016 International Journal of Emerging Technologies in Learning (iJET)
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