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Direct linkAl-Alawi, Lamees; Al Shaqsi, Jamil; Tarhini, Ali; Al-Busaidi, Adil S. – Education and Information Technologies, 2023
This study aims to employ the supervised machine learning algorithms to examine factors that negatively impacted academic performance among college students on probation (underperforming students). We used the Knowledge Discovery in Databases (KDD) methodology on a sample of N = 6514 college students spanning 11 years (from 2009 to 2019) provided…
Descriptors: Artificial Intelligence, Predictor Variables, Academic Achievement, Grade Prediction
Al-Qirim, Nabeel; Rouibah, Kamel; Serhani, Mohamad Adel; Tarhini, Ali; Maqableh, Mahmoud; Khalil, Ashraf; Gergely, Marton – Education and Information Technologies, 2020
This research develops a model to investigate the influence of different determinants on student's Academic Performance (AP) in UAE University (UAEU). The model consists of Big Five personality traits (BigF) and other learning-orientation strategies. The importance of this research to the UAE's context stems from the fact that determinants of AP…
Descriptors: Academic Achievement, Higher Education, Foreign Countries, Personality Traits
Karajeh, Huda; Maqableh, Mahmoud; Rajab, Lama; Mohammad, Hiba; Khatib, Tahani; Al-Qirim, Nabeel; Tarhini, Ali – Education and Information Technologies, 2018
This study examined impact of a social media networks course on student use of SNSs performance. Moreover, it examined the associations among course design, course materials, learning experiences and a social media networks course. Survey instrument is used to examine the relationships in the proposed model. A total of 380 questionnaires have been…
Descriptors: Foreign Countries, Social Media, College Students, Networks
