Special Issue on Web Mining and Higher Education

The Internet and Higher Education Special Issue on: Web Mining and Higher Education Call for Paper

Guest Editor: Rafi Nachmias, Tel Aviv University

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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