The effectiveness of using deep learning algorithms in predicting students achievements

Educational Data Mining (EDM)  research has taking an important place as it helps in exposing useful knowledge from educational data sets to be employed and serve several purposes such as predicting students' achievements. Predicting student's achievements might be useful for building and...

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Main Authors: Akour, Mohammed (Author), Sghaier, Hiba Al (Author), Al Qasem, Osama (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2020-07-01.
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LEADER 02233 am a22003133u 4500
001 ijeecs21221_13881
042 |a dc 
100 1 0 |a Akour, Mohammed  |e author 
100 1 0 |e contributor 
700 1 0 |a Sghaier, Hiba Al  |e author 
700 1 0 |a Al Qasem, Osama  |e author 
245 0 0 |a The effectiveness of using deep learning algorithms in predicting students achievements 
260 |b Institute of Advanced Engineering and Science,   |c 2020-07-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21221 
520 |a Educational Data Mining (EDM)  research has taking an important place as it helps in exposing useful knowledge from educational data sets to be employed and serve several purposes such as predicting students' achievements. Predicting student's achievements might be useful for building and adopting several changes in the educational environments as a re-action in the current educational systems. Most of the existing research have used machine learning to predict students' achievements by using diverse attributes such as family income, students gender, students absence and level etc.  In this paper, the effort is made to explore the effectiveness of using the deep learning algorithm more precisely CNN to predict students' achievements which could hlp in predicting if student will be able to finish their degree or not.  The experimental results reveal how the proposed model outperformed the existing approaches in terms of prediction accuracy. 
540 |a Copyright (c) 2020 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Deep learning Algorithm; Educational performance 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 19, No 1: July 2020; 388-394 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v19.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21221/13881 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21221/13881  |z Get fulltext