Personalized Teaching Platform Based on Web Data Mining

Authors

  • Lan-zhong Wang Shandong University

DOI:

https://doi.org/10.3991/ijet.v11i11.6253

Keywords:

personalized teaching platform, modern distance education, web data mining

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.

Downloads

Published

2016-11-29

How to Cite

Wang, L.- zhong. (2016). Personalized Teaching Platform Based on Web Data Mining. International Journal of Emerging Technologies in Learning (iJET), 11(11), pp. 15–20. https://doi.org/10.3991/ijet.v11i11.6253

Issue

Section

Papers