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Title

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

Author

Ashwaq Al-Musharraf, Mona Alkhattabi

Citation

Vol. 16  No. 3  pp. 1-13

Abstract

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.

Keywords

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

URL

http://paper.ijcsns.org/07_book/201603/20160301.pdf