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 | 737* | 2019 |
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 | 440 | 2022 |
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 | 418 | 2023 |
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 | 360 | 2020 |
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 | 357 | 2019 |
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 | 324 | 2022 |
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 | 311 | 2017 |
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 | 275 | 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 | 265 | 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 | 250 | 2018 |
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 | 243 | 2021 |
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 | 242 | 2020 |
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 | 238 | 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 | 220 | 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 | 213 | 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 | 209 | 2019 |
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 | 188 | 2021 |
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 | 175 | 2020 |
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 | 174 | 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 | 167 | 2019 |