Association rule mining and visualization of introductory programming course activities

Abstract

In introductory programming courses instructors usually experiment by introducing new activities based on new technologies in order to promote learning and achievement. This paper presents a case study from the Department of Informatics at the University of Rijeka where a blended course Programming 2 offers new supportive activities to students. The work gives objective evaluation of these activities implementing data mining on Moodle log data using the Apriori method and interactive visualization.