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Evaluating the Readability of Scientific Web Pages Using Intelligent Analysis Tools

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
Seena Sukumaran Menon (Creator)
Institution
Appalachian State University (ASU )
Web Site: http://www.library.appstate.edu/
Advisor
Rahman Tashakkori

Abstract: The World Wide Web (WWW) is a primary resource of information. With the growth of the WWW, it is not only enough to have a web presence, but also to have a highly readable website. Scientific web pages include text content, tables, graphs, charts, images, mathematical formulae that are difficult to represent in a legible manner. This study involved creating a sample scientific website. Users had to browse a sample website and answer a survey questionnaire. The survey responses were analyzed using data mining techniques from SAS Enterprise Miner to determine the main factors affecting readability of the website.

Additional Information

Publication
Thesis
Menon. S.S. (2010). Evaluating the Readability of Scientific Web Pages Using Intelligent Analysis Tools. Unpublished master’s thesis. Appalachian State University, Boone, NC.
Language: English
Date: 2010
Keywords
Web page readability, Scientific web page readability, Online scientific documents