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Al-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
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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
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Buabeng-Andoh, Charles; Yaokumah, Winfred; Tarhini, Ali – Education and Information Technologies, 2019
In the technology acceptance studies, both the theory of reasoned action and the technology acceptance model have been widely adopted to study the factors that influence users' technology usage intentions. While these frameworks have been mostly tested in Western nations, there has been a little effort to apply these frameworks in non-Western…
Descriptors: Undergraduate Students, Intention, Developing Nations, Structural Equation Models
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Salloum, Said A.; Al-Emran, Mostafa; Shaalan, Khaled; Tarhini, Ali – Education and Information Technologies, 2019
The main objective of this article is to study the factors that affect university students' acceptance of E-learning systems. To achieve this objective, we have proposed a new model that aims to investigate the impact of innovativeness, quality, trust, and knowledge sharing on E-learning acceptance. Data collection has taken place through an…
Descriptors: Foreign Countries, Instructional Effectiveness, Electronic Learning, Case Studies
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Al-Qirim, Nabeel; Rouibah, Kamel; Tarhini, Ali; Serhani, Mohamed Adel; Yammahi, Aishah Rashid; Yammahi, Maraim Ahmed – Education and Information Technologies, 2018
This research investigates the personality characteristics of Information Technology students (CIT) in UAE University (UAEU) and how such features impact their IT learning. To achieve this objective, this research attempts to explain the impact of the Big-5 factors on learning using survey research. Results from 179 respondents suggested that…
Descriptors: Foreign Countries, Personality, Student Characteristics, College Students
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Al-Qirim, Nabeel; Tarhini, Ali; Rouibah, Kamel; Mohamd, Serhani; Yammahi, Aishah Rashid; Yammahi, Maraim Ahmed – Education and Information Technologies, 2018
This research examines the learning preferences of students in UAE University (UAEU). The uniqueness of this research emanates from the fact that no prior research examined this area from the UAE's perspective. Thus, this research embarks on the fact that student learning strategies vary from one country to another due to many factors. This…
Descriptors: Information Technology, Higher Education, Foreign Countries, Learning Strategies
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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
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Tarhini, Ali; Teo, Timothy; Tarhini, Takwa – Education and Information Technologies, 2016
Despite the prevalence and significance of e-learning in education, there is a dearth of published instruments for educational researchers and practitioners that measure users' acceptance of e-learning. To meet this need, Teo (2010) developed the E-learning Acceptance Measure (ElAM). The main objective of this paper is to validate the ElAM (Teo,…
Descriptors: Cross Cultural Studies, Validity, Electronic Learning, Foreign Countries