Educational Data Mining in Moodle

AUTHOR/S: Novie Joy C. Pelobello, Dominique Gerald M. Cimafranca, Yancy Vance M. Paredes, 


KEYWORDS:  Educational Data Mining, E-learning, Web-based Learning System, Educational Technology, Automated Assessment


            Moodle is a web-based content management system used for distance learning and as a supplement to classroom activities. Ateneo de Davao has been using Moodle at the college level since 2011 and the service is available to all units and departments. With over two years of activity logs and fully populated course modules, there is now sufficient data collected to analyze usage patterns of Moodle. This study set out to answer the basic question of the extent of utilization of Moodle in the university. It also sought to indicators to class performance using Moodle’s quiz assessment methods. 

            What this study found was a wide variance in the adoption of Moodle across different units and departments. For two operational Moodle servers, at least 64% of courses were unused on the first server and at least 40% on the second server. This study presents more detailed usage profiles, such as the types of activities in course modules and the usage over time. 

           The Computer Studies Cluster was the most active user of Moodle, the usage driven primarily by EDP111 classes. At the same time, a non-technical program like Theology also made heavy use of Moodle for their classes. 

            This study also found that the most active courses on Moodle were those that made use of automated quiz assessment components. This study also found that various factors of these assessments – question types, question type composition, quiz length, point distribution, and time allocation – impact class performance, although no definite formula can be found to predict the actual performance.

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