Higher Education 2011 - Special Issue on Web Mining in Higher Education -The Internet and Higher Education

Elsevier's The Internet and Higher Education will have a Special Issue on
Web Mining in Higher Education, guest editor: Rafi Nachmias, School of
Education, Tel Aviv University.

The purpose of this special issue is to promote the understanding of Web
Mining as a novel and useful research methodology for investigating aspects
related to the various usages of the Internet in higher education. Web
Mining (or Web Data Mining) is the application of Data Mining tools and
techniques to discover novel and potentially useful information from data
drawn from the Web.

Traditionally, Web Mining consists of three types: Usage Mining, Content
Mining, and Structure Mining, each of which uses different data: Log files
describing activity within Web pages, text from Web pages, and information
about connectivity of Web pages, accordingly. As a result, many different
levels of e-learning might be researched, allowing diverse points of view
for instructors, researchers, curriculum developers, learning environment
developers, and policy makers.

We encourage submissions of empirical and conceptual articles which address
(but not limited to) the following topics:
* Assessing online students' behavior throughout the learning process
* Collaborative learning investigation
* Cost-effectiveness of Web-supported learning
* Measuring affective aspects of learning

Important Dates (Tentative):
Submission deadline: 10 January 2010
Authors' notification: May 2010
Final papers submission: June 2010
Special Issue publication: January 2011