All Outputs (11)

Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Hajjej, F., Thabit, S., El-Qirem, F., …Al-Maroof, R. (2022). Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level. Electronics, 11(22), https://doi.org/10.3390/electronics11223662

The learning environment usually raises various types of anxiety based on the student’s abilities to use technology and their abilities to overcome the negative feelings of an individual being watched all the time and criticized. Hence, learners stil... Read More about Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level.

Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Hajjej, F., Shishakly, R., Lutfi, A., …Al-Maroof, R. (2022). Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate. Electronics, 11(20), https://doi.org/10.3390/electronics11203291

Artificial intelligence applications (AIA) increase innovative interaction, allowing for a more interactive environment in governmental institutions. Artificial intelligence is user-friendly and embraces an effective number of features among the diff... Read More about Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate.

Integrating teachers’ TPACK levels and students’ learning motivation, technology innovativeness, and optimism in an IoT acceptance model (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Al-Otaibi, S., Shishakly, R., Lutfi, A., …Al-Maroof, R. (2022). Integrating teachers’ TPACK levels and students’ learning motivation, technology innovativeness, and optimism in an IoT acceptance model. Electronics, 11(19), https://doi.org/10.3390/electronics11193197

The growing use of the Internet of Things (IoT) around the world has encouraged researchers to investigate how and why the IoT is implemented in colleges and universities. Previous studies have focused on individual attitudes rather than the integrat... Read More about Integrating teachers’ TPACK levels and students’ learning motivation, technology innovativeness, and optimism in an IoT acceptance model.

Determinants influencing the continuous intention to use digital technologies in Higher Education (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Al-Otaibi, S., Al Sawafi, O., Al-Maroof, R., …Awad, A. (2022). Determinants influencing the continuous intention to use digital technologies in Higher Education. Electronics, 11(18),

There is increasing evidence that the lack of access to digital information and technologies is not widely considered in the educational sectors when focusing on the perceived experience, tutor quality and students’ satisfaction. In this paper, we re... Read More about Determinants influencing the continuous intention to use digital technologies in Higher Education.

Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach (2022)
Journal Article
Almarzouqi, A., Aburayya, A., & Salloum, S. (2022). Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach. PLoS ONE, 17(8), e0272735. https://doi.org/10.1371/journal.pone.0272735

An Electronic Medical Record (EMR) has the capability of promoting knowledge and awareness regarding healthcare in both healthcare providers and patients to enhance interconnectivity within various government bodies, and quality healthcare services.... Read More about Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach.

A systematic literature review on phishing email detection using natural language processing techniques (2022)
Journal Article
Salloum, S., Gaber, T., Vadera, S., & Shaalan, K. (2022). A systematic literature review on phishing email detection using natural language processing techniques. IEEE Access, 10, 65703-65727. https://doi.org/10.1109/access.2022.3183083

Phishing is the most prevalent method of cybercrime that convinces people to provide sensitive information; for instance, account IDs, passwords, and bank details. Emails, instant messages, and phone calls are widely used to launch such cyber-attacks... Read More about A systematic literature review on phishing email detection using natural language processing techniques.

A novel RBFNN-CNN model for speaker identification in stressful talking environments (2022)
Journal Article
Nassif, A., Alnazzawi, N., Shahin, I., Salloum, S., Hindawi, N., Lataifeh, M., & Elnagar, A. (2022). A novel RBFNN-CNN model for speaker identification in stressful talking environments. Applied Sciences, 12(10), https://doi.org/10.3390/app12104841

Speaker identification systems perform almost ideally in neutral talking environments. However, these systems perform poorly in stressful talking environments. In this paper, we present an effective approach for enhancing the performance of speaker i... Read More about A novel RBFNN-CNN model for speaker identification in stressful talking environments.

SEM-ANN-based approach to understanding students' academic-performance adoption of YouTube for learning during Covid. (2022)
Journal Article
Elareshi, M., Habes, M., Youssef, E., Salloum, S., Alfaisal, R., & Ziani, A. (2022). SEM-ANN-based approach to understanding students' academic-performance adoption of YouTube for learning during Covid. Heliyon, 8(4), e09236. https://doi.org/10.1016/j.heliyon.2022.e09236

A hybrid analysis of Structural Equation Modeling (SEM) and Artificial Neural Network (ANN), through SmartPLS and SPSS software, as well as the importance-performance map analysis (IPMA) were used to examine the impact of YouTube videos content on Jo... Read More about SEM-ANN-based approach to understanding students' academic-performance adoption of YouTube for learning during Covid..

Prediction of the intention to use a smartwatch : a comparative approach using machine learning and partial least squares structural equation modeling (2022)
Journal Article
Elnagar, A., Alnazzawi, N., Afyouni, I., Shahin, I., Bou Nassif, A., & Salloum, S. (2022). Prediction of the intention to use a smartwatch : a comparative approach using machine learning and partial least squares structural equation modeling. Informatics in Medicine Unlocked, 29, 100913. https://doi.org/10.1016/j.imu.2022.100913

This study makes use of a cohesive yet innovative research model to identify the determinants of the adoption of smart watches using constructs from the Technology Acceptance Model (TAM) and constructs of smartwatches, including effectiveness, conten... Read More about Prediction of the intention to use a smartwatch : a comparative approach using machine learning and partial least squares structural equation modeling.

A conceptual framework for determining metaverse adoption in higher institutions of gulf area : an empirical study using hybrid SEM-ANN approach (2022)
Journal Article
Akour, I., Al-Maroof, R., Alfaisal, R., & Salloum, S. (2022). A conceptual framework for determining metaverse adoption in higher institutions of gulf area : an empirical study using hybrid SEM-ANN approach. Computers and Education: Artificial Intelligence, 3, 100052. https://doi.org/10.1016/j.caeai.2022.100052

The metaverse is a kind of imagined world with immersive digital spaces that increase, allowing a more interactive environment in educational settings. The metaverse is an expansion of the synchronous communication that embraces an effective number o... Read More about A conceptual framework for determining metaverse adoption in higher institutions of gulf area : an empirical study using hybrid SEM-ANN approach.

Determinants of intention to use medical smartwatch-based dual-stage SEM-ANN analysis (2022)
Journal Article
Almarzouqi, A., Aburayya, A., & Salloum, S. (2022). Determinants of intention to use medical smartwatch-based dual-stage SEM-ANN analysis. Informatics in Medicine Unlocked, 28, 100859. https://doi.org/10.1016/j.imu.2022.100859

The current study is based on an integrated research model developed by combining constructs from the Technology Acceptance Model (TAM) and other features affecting smartwatch effectiveness, such as content richness and user satisfaction (SAT). TAM i... Read More about Determinants of intention to use medical smartwatch-based dual-stage SEM-ANN analysis.