A web-based intelligent report e-learning system using data mining techniques

This paper presents a PDCA (Plan, Do, Check, Act) method of improving web-based intelligent reports of an e-learning system as intelligent system, which was created and implemented at the Technical Faculty in Cacak, University of Kragujevac. The focus is on improving LMSs (Learning Management Systems) or e-learning systems by predicting behavior patterns of students and adjusting the structure of these electronic courses. An existing learning management system is improved by using data mining techniques and increasing the efficiency of the courses using custom modules. This study presents the design, implementation, and evaluation of the system. Future work should relate to the continued improvement of the PDCA-created system, as well as the introduction of additional modules and a comparative analysis of the presented and future results.

► Current capabilities of the reporting system within Moodle LMS are defined.
► Web-based intelligent report e-learning system is created.
► Improvement of Moodle LMS reporting system using data mining techniques with PDCA.
► Advantages of created system provided by intelligent features.