<p>The main purpose of this research paper is to analyze the moodle data and identify most influencing features develop predictive model. The applies a wrapper-based feature selection method called Boruta for best predicting features. Data were collected from eighty-one students who enrolled in course Human Computer Interaction (COMP341), offered by Department Science Engineering at Kathm...

This study was aimed at investigating ways to ensure the adaptivity of Moodle courses improve efficiency educational process. As main re-search method, survey used issues ensuring eLearning in Moodle. Besides, within current work, method achiev-ing course combined with a personalized approach proposed by Limongelli et al. It revealed that most participants have difficulties self-learning and pe...