Personalized Teaching Platform Based on Web Data Mining

被引：4

作者：

Wang, Lanzhong ^{[1
]}

机构：

[1] Shandong Univ, Jinan, Peoples R China

来源：

INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING | 2016年 / 11卷 / 11期

关键词：

personalized teaching platform; modern distance education; web data mining;

D O I：

10.3991/ijet.v11i11.6253

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

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.

引用

页码：15 / 20

页数：6

共 50 条

[41] A CNN based real-time eye tracker for web mining applications [J].

Donuk, Kenan ;

Ari, Ali ;

Hanbay, Davut .

MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (27) :39103-39120

[42] Research on the Web Mining Framework Based on Mobile Agent and E-Commerce [J].

Huang, Weijian ;

Zhou, Xuqian ;

Wang, Nianpeng .

2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL 3, PROCEEDINGS, 2009, :299-302

[43] Research on Tourism E-commerce based on Data Mining [J].

Liu, Yan .

PROCEEDINGS OF THE AASRI INTERNATIONAL CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (IEA 2015), 2015, 2 :669-671

[44] Web users purchase behavior mining method based on a combination of attribute integration with constraints [J].

Sun, HM ;

Li, YJ ;

Huang, TY .

Proceedings of the 2005 International Conference on Management Science & Engineering (12th), Vols 1- 3, 2005, :196-198

[45] EXTENDING JMETER TO ALLOW FOR WEB STRUCTURE MINING [J].

Sabater, Agustin ;

Guerrero, Carlos ;

Lera, Isaac ;

Juiz, Carlos .

PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INTERNET TECHNOLOGIES AND APPLICATIONS (ITA 13), 2013, :33-40

[46] Automatically discovering of inconsistency among cross-source data based on Web big data [J].

Yu, Wei ;

Li, Shijun ;

Yang, Sha ;

Hu, Yahui ;

Liu, Jing ;

Ding, Yonggang ;

Wang, Qian .

Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2015, 52 (02) :295-308

[47] The Research and Design of Web Text Mining System Framework [J].

Meng, Fanrong ;

Jiang, Xiaoyun ;

Shen, Lijun ;

Shi, Lei .

DCABES 2008 PROCEEDINGS, VOLS I AND II, 2008, :400-+

[48] Request Dependency Graph: A Model for Web Usage Mining in Large-Scale Web of Things [J].

Liu, Jun ;

Fang, Cheng ;

Ansari, Nirwan .

IEEE INTERNET OF THINGS JOURNAL, 2016, 3 (04) :598-608

[49] RESEARCH OF PUBLIC OPINION HOTSPOT DETECTION MODEL BASED ON WEB BIG DATA [J].

Fan, Chunxiao ;

Wu, Yuexin ;

Zhang, Jun ;

Zhao, Tianlin .

PROCEEDINGS OF 2016 5TH IEEE INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IEEE IC-NIDC 2016), 2016, :72-77

[50] Assessing language discrepancies between travelers and online travel recommendation systems: Application of the Jaccard distance score to web data mining [J].

Park, Sangwon ;

Kim, Dae-Young .

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2017, 123 :381-388

← 1 2 3 4 5 →