A prediction model of newly admitted students in the level exam using data mining
Other Title(s)
توقع لأداء الطلاب المقبولين الجدد في امتحان المستوى باستخدام التنقيب في البيانات
Joint Authors
Abu Zirr, Yusuf Salih Yusuf
Amr, Islam Yunus
Turk, Bassam
Isa, Mahir
Source
Palestinian Journal of Technology and Applied Sciences
Issue
Vol. 2021, Issue 4 (31 Jan. 2021), pp.23-35, 13 p.
Publisher
al-Quds Open University Deanship of Scientific Research and Graduate Studies
Publication Date
2021-01-31
Country of Publication
Palestine (West Bank)
No. of Pages
13
Main Subjects
Abstract EN
In this research, we will use the Data Mining technique as a prediction model to predict the student’s grade in the level exam.
At the same time, we are interested in finding the main factors that affect the grade.
In order to analyze and predict what will happen during the various stages of the enrollment process at the University, data mining models will be used.
This will help the university determine the interventions and measures needed and take the required action accordingly at the right time.
To perform the analytics and the predictions, we used Waikato’s Knowledge Analysis Environment (WEKA) tool and different algorithms such as K-Means, logistic regression, Kohonen’s Self Organizing Map (KSOM), as well as EM to identify the most influential factors that predict student’s grade in the level exam.
The results of this research showed that EM offers great value to determine the main parameters that affect the student’s final grade in the level exam.
The other three algorithms, logistic regression, K-Means, and KSOM are advanced predictive models for the student’s grade in the level exam.
American Psychological Association (APA)
Abu Zirr, Yusuf Salih Yusuf& Amr, Islam Yunus& Turk, Bassam& Isa, Mahir. 2021. A prediction model of newly admitted students in the level exam using data mining. Palestinian Journal of Technology and Applied Sciences،Vol. 2021, no. 4, pp.23-35.
https://search.emarefa.net/detail/BIM-1380345
Modern Language Association (MLA)
Abu Zirr, Yusuf Salih Yusuf…[et al.]. A prediction model of newly admitted students in the level exam using data mining. Palestinian Journal of Technology and Applied Sciences No. 4 (Jan. 2021), pp.23-35.
https://search.emarefa.net/detail/BIM-1380345
American Medical Association (AMA)
Abu Zirr, Yusuf Salih Yusuf& Amr, Islam Yunus& Turk, Bassam& Isa, Mahir. A prediction model of newly admitted students in the level exam using data mining. Palestinian Journal of Technology and Applied Sciences. 2021. Vol. 2021, no. 4, pp.23-35.
https://search.emarefa.net/detail/BIM-1380345
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 34-35
Record ID
BIM-1380345