Identifying problematic e-courses content based on students behaviour

Abstract

When analyzing students’ behavior, it is possible to use a variety of web mining techniques and techniques in addition to basic descriptive statistics. These techniques are applied in order to identify the most frequent way how student is exploring courses, frequent problems in passing the e-learning course, identifying problems in individual tests or identification problematic parts of educational materials. The aim of this paper is to introduce our own methodology for identifying problematic parts of educational content. We use two areas of mining web: web content and web usage mining. By applying basic web content mining techniques, we created a site size metrics for the training course. We experimented with time spent on educational pages. The content size of the individual training course parts will predict the time spent by students in their study. We analyzed the dependence between number of words of the web page with the educational content and the time spent by students on this site. We deal with the problematic parts of the analysis differences in content length of educational materials and time spent on them in discussion and also in the conclusion of this paper. We also assume other metrics for comparison of these variables.