New Pre-Processing Approach Based on Clustering Users Traces According to their Learning Styles in Moodle LMS

Nowadays, many Moroccan universities and institutions start offering training online courses "E-learning". Which accumulate a vast amount of information that is very valuable for analyzing students’ behavior could create gold mine educational data. However, handling the quantities data generated daily by learning management systems (LMS) such as Moodle has become more complicated. This massive can be used to improve decision making management, which requires proper extracting cleaning methods.
 The purpose this paper suggest new approach preprocessing execution traces during interaction learners with LMS especially content in SCORM format. 
 In study, we built two experimental corpus platform Moodle. Using corpus, applied Clustering mining technique step our process discovery. Hence, students similar styles or performance levels are grouped together should help us build partial model (learning process) easier understand makers.