Please wait a minute...
New Technology of Library and Information Service  2006, Vol. 22 Issue (1): 74-78    DOI: 10.11925/infotech.1003-3513.2006.01.15
Current Issue | Archive | Adv Search |
A Model of Evaluating the Satisfaction for Using the Assistant Teaching Web
——A Case Study on Teachers’ Using the Web in one University
Liu Fangxin
 (ANTAI School of Management, Shanghai Jiaotong University, Shanghai 200052,China)
Download: PDF (0 KB)  
Export: BibTeX | EndNote (RIS)      
Abstract  

Whether the assistant teaching Web could help teachers teach effectively, the first and primary step is to satisfy users  with the disposition of the assistant teaching Web. In this paper we present a model of evaluating the satisfaction for using the assistant teaching Web. We apply regression and frequency for evaluating a high school teachers’satisfaction by questionnaire on this model.
Key words： Assistant teaching Web      Web evaluation index      User satisfaction      Personalization      Interactivity     
Received: 09 October 2005      Published: 25 January 2006
ZTFLH: 

G253

 		 
Corresponding Authors: Liu Fangxin     E-mail: fanghsinliu@sjtu.edu.cn
About author:: Liu Fangxin
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
LIU Fang-Xin

Cite this article:

Liu Fangxin. A Model of Evaluating the Satisfaction for Using the Assistant Teaching Web
——A Case Study on Teachers’ Using the Web in one University. New Technology of Library and Information Service, 2006, 22(1): 74-78.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2006.01.15     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2006/V22/I1/74

1Jeffrey F. Rayport, Bernard J. Jaworshi. E-Commerce: CH 4 Customer Interface. November 3, 2000
2John W. Satzinger, Robert B. Jackson, Stephen D. Burd. System Analysis and Design in a Changing World : CH11 the design of user interface, 2 edition.March 25, 2002
3NT Ozok, Gavriel Savendy, Twenty guideline for the design of Web-based interface with consistent language, 2004
4Pam L. Kumar, Michael Alan Smith, Snehamay Bannerjee, User interface features influencing overall ease of use and personalization,8 June 2003
5Hock-Hai Teo, Lih-Bin Oh, Chunhui Liu, Kwok-Kee Wei, An empirical study of the effects of interactivity on Web user attitude,23 December 2002
6G.Bhatt, Bringing virtual reality for commercial Web sites, 12 July 2003
7Hazel Hall, Dianne Graham, Creation and recreation: motivating collaboration to generate knowledge capital in online communities, June 2004
8Herbjorn Nysveen, Per E.Pedersen,An exploratory study of customers’perception of company Web sites offering various interactive applications: moderating effects of customers' Internet experience,4 December 2002
9Su-e Park, Dongsung Choi, Jinwoo Kim, Critical factors for the aesthetic fidelity of Web pages empirical studies with professional Web designers and users,14 July 2003
10Wilson Lee, Izak Benbasat, Designing an electronic commerce interface : attention and product memory as elicited by Web design, 18 April 2003
[1] Luo Wenxin,Chen Chong,Deng Siyi. Detecting Disease Associations with Word2Vec from Consumer Health Information[J]. 现代图书情报技术, 2016, 32(9): 78-87.
[2] Li Shuqing, Wang Jianqiang. A Visualization and Recognition Method of Readers’ Interests with the Analysis of the Characteristics of Borrowing Time[J]. 现代图书情报技术, 2013, (5): 46-53.
[3] Li Shuqing, Liu Xiaoqian. The Matching Algorithm of Heterogeneous User Personalized Profile Based on Centripetal Spreading Weighted XML Model[J]. 现代图书情报技术, 2012, 28(5): 32-40.
[4] Zhang Qi, Zhang Yinghua. Research on an Approach of Context Aware Collaborative Recommend for Scientific & Technical Literatures[J]. 现代图书情报技术, 2012, 28(2): 10-17.
[5] Zhao Yan, Su Yuzhao, Guan Tao. A Method of Data Collecting to Improve the Precision of Filtering User Preference[J]. 现代图书情报技术, 2011, (11): 31-37.
[6] Ku Liping. Review of Personalized Interaction Design[J]. 现代图书情报技术, 2010, 26(11): 10-16.
[7] Zhou Hong. Customizing Personalization Library Toolbar by Google Toolbar[J]. 现代图书情报技术, 2009, 25(6): 66-69.
[8] Li Shuqing. The Personalized Product Recommendation Method Based on Weighted XML Model[J]. 现代图书情报技术, 2009, 25(4): 64-69.
[9] Guo Wenli,Zhang Xiaolin. Design and Implementation of an Embedded Digital Library Toolbar[J]. 现代图书情报技术, 2007, 2(6): 1-4.
[10] Zhang Yulian,Wang Quan. User Profile Mining of Combining Web Behavior and Content Analysis[J]. 现代图书情报技术, 2007, 2(6): 52-55.
[11] Liu Song . Study of Personalized Recommendation System on Internet[J]. 现代图书情报技术, 2007, 2(4): 35-38.
[12] Liu Jieqing,Wu Jinghui . Design and Implementation of Topic-specific Personal Real-time Search Engine[J]. 现代图书情报技术, 2006, 1(5): 40-43.
[13] Wang Fen,Zhang Yufeng. Modeling the Users’ Navigation History by Semistructured Temporal Graph[J]. 现代图书情报技术, 2006, 1(2): 59-62.
[14] Tao Jianwen. Algorithm Design for Multi-agent Based Intelligent Recommendation System[J]. 现代图书情报技术, 2006, 1(12): 49-53.
[15] Fan Aihong. The Personalization Services of Foreign Database Products[J]. 现代图书情报技术, 2004, 20(8): 22-24.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626，82624938   E-mail:jishu@mail.las.ac.cn