Web-based Learning and Web Mining

Abstract

The web mining is a very effective data mining approach in the internet-based segments of the business world. In fact, it is applying data mining for sophisticated traffic analysis of websites based on the "logfiles" continuously being created on the server machine of the content provider. Its aim is to increase the efficiency of the given websites. These files have to be filtered, transformed, and processed so that valuable pieces of information characterizing the visitors' behavior and motivation should be gained from it. My research group has been composed aiming at revealing advantageous practical application possibilities of web mining for the usage of online courses based on IBM-SPSS Clementine tools. The "user-centered" philosophy of these tools is in perfect harmony with the concepts of modern marketing, ergonomics and pedagogy. This new approach, as opposed to the traditional "page-centered" philosophy, puts the students' goals and intentions to the center, and designs the services of the system accordingly, as a matter of fact, as we experienced, quite successfully. Our approach is radically different from the traditional ones, as it is not based upon some "representative sampling" concerning the interaction of the learners and the material, but of the contrary, all interactions of all students can be analyzed at the fine resolution of single keystrokes and mouse clicks. I am going to present the results exposed by quality testing in connection with the students' learning and collaborative activities, the structure of the syllabus as well as the navigational opportunities.



Author Information
Peter Toth, Obuda University, Hungary

Paper Information
Conference: ACTC2013
Stream: Technology in the Classroom

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