Abstract
Since the first log analyzer was invented by Dr. Stephen Turner in 1995, web-analytics has been widely used on the Internet to achieve goals as making smart business decisions, improve business website performance, processes and their bottom lines, etc. Although web-analytics has been widely used in the economic field, yet it has not been utilized in the education domain. So this is the first introduction of the theory and the technique into the education domain. We choose the software which is a kind of log analyzer named SurfStats Website Traffic Analyzer (SurfStats for short) to be our web-analytics tool to analyze the education website — the programming of the college life website (http://cnu401.w165.vhostgo.com/). In order to make our education website more humanistic, practical and suitable for students to learn online, we collected the data throughout the three periods of scheduled time and then analyze the factors such as the exit ratio, the time spent per visitor, the average ratio of returning visitors per day, the pages viewed per visitor and the website overlay, etc.
This paper was supported by two projects. One project was supported by the Creative Fund for Undergraduates of Beijing Municipal and the Project Number is BJS_0810028030. The other project was supported by the Fund of Beijing Municipal Commission of Education on Education Science and Technology and the project number is KM200610028019.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Burby, J., Atchison, S.: Actionable Web Analytics: Using Data to Make Smart Business Decisions. Wiley Publishing, Chichester (2007)
Kaushik, A.: Web Analytics: An hour a Day, Indianapolis. Wiley Publishing, Indiana (2007)
Bo, W.C.: Internet search engines adoption by higher education students: the influence of domain-specific innovativeness. In: The Open University of Hong Kong & ST Paul’s Convent School.ict2008_proceedings, pp. 34–43 (2008)
Clifton, B.: Advanced Web Metrics with Google Analytics. Wiley Publishing, Indianapolis (2008)
Ledford, J., Tyler, M.E.: Google Analytics 2.0. Wiley Publishing, Indianapolis (2007)
Stauffer, T.: How to Do Everything with Your Web 2.0 Blog. The McGraw-Hill Companies, United States of America (2008)
Ullman, L.: Building a Web Site with Ajax. Peachpit Press (2008)
Holden, G.: Go Google. AMACOM (2008)
Bini, O.: Practical JRuby on Rails Web 2.0 Projects: Bringing Ruby on Rails to the Java Platform. Apress (2008)
Cheryl, D.W.: Foundations of Microsoft Expression Web: The Basics and Beyond. Apress (2007)
Donna, L.B.: How to Do Everything with Google Tools. The McGraw-Hill Companies, New York (2008)
Spiliopoulou, M., Kruse, R., Bor (eds.): From Data and Information Analysis to Knowledge Engineering. Springer, United States of America (2008)
Taylor, N.P.: Development site evaluation. Macmillan building and surveying series (1991)
Zhiting, Z.: Information Technology for Senior High School Student. The Press of Chinese Map, Beijing (2004) (in Chinese)
Yufeng, D.: The Research of Analyzing Website Links and Evaluating the Websites. The Press of Beijing Library, Beijing (2005) (in Chinese)
Data Mining for Web Personlization, http://66.102.1.104/scholar?hl=zh-CN&lr=&newwindow=1&q=cache:4xdPfinlPkoJ:citeseerx.ist.psu.edu/viewdoc/download%3Fdoi%3D10.1.1.71.4340%26rep%3Drep1%26type%3Dpdf+
7 Must Know for Measuring Web Site Activities, http://www.en8848.com.cn/Article/Ecommerce/Site/32118.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wu, J., Cheng, Y., Liu, Y., Liu, X. (2009). Using Web-Analytics to Optimize Education Website. In: Wang, F.L., Fong, J., Zhang, L., Lee, V.S.K. (eds) Hybrid Learning and Education. ICHL 2009. Lecture Notes in Computer Science, vol 5685. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03697-2_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-03697-2_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03696-5
Online ISBN: 978-3-642-03697-2
eBook Packages: Computer ScienceComputer Science (R0)