Said A. Salloum
Citée par
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Exploring students’ acceptance of e-learning through the development of a comprehensive technology acceptance model
SA Salloum, AQM Alhamad, M Al-Emran, AA Monem, K Shaalan
IEEE access 7, 128445-128462, 2019
Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic
RS Al-Maroof, SA Salloum, AE Hassanien, K Shaalan
Interactive Learning Environments 31 (3), 1293-1308, 2023
A conceptual framework for determining metaverse adoption in higher institutions of gulf area: An empirical study using hybrid SEM-ANN approach
IA Akour, RS Al-Maroof, R Alfaisal, SA Salloum
Computers and education: artificial intelligence 3, 100052, 2022
Factors affecting the E-learning acceptance: A case study from UAE
SA Salloum, M Al-Emran, K Shaalan, A Tarhini
Education and Information Technologies 24, 509-530, 2019
An empirical examination of continuous intention to use m-learning: An integrated model
M Al-Emran, I Arpaci, SA Salloum
Education and information technologies 25, 2899-2918, 2020
A survey of text mining in social media: Facebook and Twitter perspectives
SA Salloum, M Al-Emran, AA Monem, K Shaalan
Advances in Science, Technology and Engineering Systems Journal 2 (1), 127-133, 2017
Prediction of user’s intention to use metaverse system in medical education: A hybrid SEM-ML learning approach
A Almarzouqi, A Aburayya, SA Salloum
IEEE access 10, 43421-43434, 2022
Investigating a theoretical framework for e-learning technology acceptance
B Al Kurdi, M Alshurideh, SA Salloum
International Journal of Electrical and Computer Engineering (IJECE) 10 (6 …, 2020
Predicting the actual use of m-learning systems: a comparative approach using PLS-SEM and machine learning algorithms
M Alshurideh, B Al Kurdi, SA Salloum, I Arpaci, M Al-Emran
Interactive Learning Environments 31 (3), 1214-1228, 2023
Using text mining techniques for extracting information from research articles
SA Salloum, M Al-Emran, AA Monem, K Shaalan
Intelligent natural language processing: Trends and Applications, 373-397, 2018
An empirical investigation into examination of factors influencing university students’ behavior towards elearning acceptance using SEM approach
B Al Kurdi, M Alshurideh, S Salloum, Z Obeidat, R Al-dweeri
International Association of Online Engineering, 2020
Using machine learning algorithms to predict people’s intention to use mobile learning platforms during the COVID-19 pandemic: Machine learning approach
I Akour, M Alshurideh, B Al Kurdi, A Al Ali, S Salloum
JMIR Medical Education 7 (1), e24032, 2021
The moderation effect of gender on accepting electronic payment technology: a study on United Arab Emirates consumers
MT Alshurideh, B Al Kurdi, R Masa’deh, SA Salloum
Review of International Business and Strategy 31 (3), 375-396, 2021
Understanding the quality determinants that influence the intention to use the mobile learning platforms: A practical study.
M Alshurideh, SA Salloum, B Al Kurdi, AA Monem, K Shaalan
International Journal of Interactive Mobile Technologies 13 (11), 2019
Factors affecting the social networks acceptance: an empirical study using PLS-SEM approach
M Alshurideh, SA Salloum, B Al Kurdi, M Al-Emran
Proceedings of the 2019 8th international conference on software and …, 2019
Factors affecting students’ acceptance of e-learning system in higher education using UTAUT and structural equation modeling approaches
SA Salloum, K Shaalan
Proceedings of the International Conference on Advanced Intelligent Systems …, 2019
Mining in educational data: review and future directions
SA Salloum, M Alshurideh, A Elnagar, K Shaalan
Proceedings of the international conference on artificial intelligence and …, 2020
The acceptance of social media video for knowledge acquisition, sharing and application: A comparative study among YouYube users and TikTok users’ for medical purposes
R Al-Maroof, K Ayoubi, K Alhumaid, A Aburayya, M Alshurideh, R Alfaisal, ...
International Journal of Data and Network Science 5 (3), 197, 2021
Machine learning and deep learning techniques for cybersecurity: a review
SA Salloum, M Alshurideh, A Elnagar, K Shaalan
The International Conference on Artificial Intelligence and Computer Vision …, 2020
Examining the main mobile learning system drivers’ effects: A mix empirical examination of both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Model (TAM)
M Alshurideh, B Al Kurdi, SA Salloum
International conference on advanced intelligent systems and informatics …, 2019
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