User Click Modeling on a Learning Management System

Clicking behavior is of prominent interest in many research fields. When accessing resources in a Learning Management Systems (LMS), clicks represent implicit feedbacks and carry precious information to improve content and layout, so to increase both the overall user experience (UX) and the resource effectiveness. As differences in age and cultural background are well known to affect the clicking behavior, the study of a homogeneous population allows to fully characterize it within a precisely delimited task. In the following, the pattern of access to learning resources of a group of graduated students involved in a specialized course is derived from log data, estimating its main behavioral stages, called orientation, evaluation and assimilation, and the transition rate from the first one to the next. Some statistics (average session time, total time of fruition and number of sessions) are also derived from the clicking distribution.