Analyzing Socio-Academic Factors and Predictive Modeling of Student Performance Using Machine Learning Techniques

Romel Al-Ali; Khadija Alhumaid; Maha Khalifa; Said A. Salloum; Rima Shishakly; Mohammed Amin Almaiah

About The Authors

Romel Al-Ali
The National Research Center for Giftedness and Creativity, King Faisal University, Al Hofuf 31982,
Saudi Arabia

Khadija Alhumaid
Student Services, Rabdan Academy, Abu Dhabi,
United Arab Emirates

Maha Khalifa
Student Services, Rabdan Academy, Abu Dhabi,
United Arab Emirates

Said A. Salloum
3) Health Economic and Financing Group, University of Sharjah, Sharjah, United Arab Emirates. 4) School of Science, Engineering, and Environment, University of Salford,
United Kingdom

Rima Shishakly
Management Department, College of Business Administration, Ajman University, Ajman 346,
United Arab Emirates

Mohammed Amin Almaiah
King Abdullah the II IT School, The University of Jordan, Amman 11942,
Jordan

Ital Publication

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European High-tech and Emerging Research Association (EUHERA)

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Indexing and Abstracting

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Acceptance Rate:	21%
Review Speed:	74 days
Issue Per Year:	6
Number of Volumes:	7
Number of Issues:	44
Number of Articles:	493
Number of Reviewers:	1187
Number of Contributors:	1394
Contributing Countries:	83
No. of WoS Citations:	2609
No. of Scopus Citations:	2936
No. of Google Citations:	4161
Google h-index:	29
Google i10-index:	126
Abstract Views:	681,807
PDF Download:	492,524

Last updated: May 14, 2023

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