Bibliographic Details
| Title: |
Personalized Teaching Platform Based on Web Data Mining. |
| Authors: |
Lanzhong Wang1 75152966@qq.com |
| Source: |
International Journal of Emerging Technologies in Learning. 2016, Vol. 11 Issue 11, p15-20. 6p. 5 Diagrams. |
| Subject Terms: |
*Distance education research, *Individualized instruction, *Effective teaching, *Computer simulation, Web databases, 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. [ABSTRACT FROM AUTHOR] |
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Copyright of International Journal of Emerging Technologies in Learning is the property of International Association of Online Engineering (IAOE) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Education Research Complete |
