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An Educational Data Mining Approach to Explore The Effect of Using Interactive Supporting Features in an LMS for Overall Performance Within an Online Learning Environment


Ashwaq Al-Musharraf, Mona Alkhattabi


Vol. 16  No. 3  pp. 1-13


The abstract Today, Saudi Arabia has many universities that provide distance education programs. This study focuses on e-learning and distance education deanships at Al-Imam Muhammad Ibn Saud Islamic University. The university has been making significant efforts to improve the learning process and to provide high quality e-learning. As part of their efforts in supporting the educational process for students, they offer optional live virtual lectures and online quizzes on a weekly basis. This study aimed to investigate the effect of attending live virtual lectures (AVL) and taking online quizzes (TOQ) on distance learners’ overall performance. The study applied the Na?ve Bayes Classifier on learners’ records, and found a significant positive correlation between attending live virtual lectures and academic performance. There was also a significant positive correlation between taking online quizzes and academic performance.


Distance education, educational data mining, classification technique, student performance.