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All Outputs (32)

Integrating ChatGPT into Medical Education: A Combined SEM-ML Approach (2024)
Journal Article
Salloum, S., Shaalan, K., Alfaisal, R., Salloum, A., & Gaber, T. (2024). Integrating ChatGPT into Medical Education: A Combined SEM-ML Approach. #Journal not on list, https://doi.org/10.1109/assic60049.2024.10507994

The educational realm has undergone profound transformations due to technological advancements, evolving from conventional classrooms to digital platforms, such as online learning modules and virtual simulations. Within this context, ChatGPT, an inno... Read More about Integrating ChatGPT into Medical Education: A Combined SEM-ML Approach.

Exploring Gamification Research Trends Using Topic Modeling (2023)
Journal Article
Ayaz, A., Ozyurt, O., Al-Rahmi, W. M., Salloum, S., Shutaleva, A., Alblehai, F., & Habes, M. (2023). Exploring Gamification Research Trends Using Topic Modeling. IEEE Access, https://doi.org/10.1109/access.2023.3326444

Gamification holds significant importance as an efficacious means to motivate individuals, stimulate their engagement, and foster desired behaviors. There is an increasing interest among researchers in exploring the domain of gamification. Consequent... Read More about Exploring Gamification Research Trends Using Topic Modeling.

Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study (2023)
Journal Article
Salloum, S. A., Bettayeb, A., Salloum, A., Aburayya, A., Khadragy, S., Hamoudi, R., & Alfaisal, R. (in press). Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study. Informatics in Medicine Unlocked, 42, 101354. https://doi.org/10.1016/j.imu.2023.101354

The outbreak of the COVID-19 pandemic led to disruptions in the delivery of medical training across borders, posing challenges in observing and practicing advanced surgical techniques with cutting-edge medical equipment from foreign countries. Howeve... Read More about Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study.

Gender as a moderating variable in online misinformation acceptance during COVID-19. (2023)
Journal Article
Mansoori, A., Tahat, K., Tahat, D., Habes, M., Salloum, S. A., Mesbah, H., & Elareshi, M. (in press). Gender as a moderating variable in online misinformation acceptance during COVID-19. Heliyon, 9(9), e19425. https://doi.org/10.1016/j.heliyon.2023.e19425

Misinformation remained a critical consideration during the COVID-19 that further cultivated fears leading to strong unrest among the public globally. This study clarifies certain misconceptions related to the pandemic by investigating whether factor... Read More about Gender as a moderating variable in online misinformation acceptance during COVID-19..

A New English/Arabic Parallel Corpus for Phishing Emails (2023)
Journal Article
Salloum, S., Gaber, T., Vadera, S., & Shaalan, K. (in press). A New English/Arabic Parallel Corpus for Phishing Emails. #Journal not on list, https://doi.org/10.1145/3606031

Phishing involves malicious activity whereby phishers, in the disguise of legitimate entities, obtain illegitimate access to the victims’ personal and private information, usually through emails. Currently, phishing attacks and threats are being hand... Read More about A New English/Arabic Parallel Corpus for Phishing Emails.

Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries (2023)
Journal Article
Sarwar, B., Sarwar, A., Mugahed Al-Rahmi, W., Almogren, A. S., Salloum, S., & Habes, M. (2023). Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries. Cogent Business and Management, 10(2), https://doi.org/10.1080/23311975.2023.2210888

This study presents a research framework based on the underlying richness of social media capacity (usefulness) at the individual level of youngsters regarding their contribution to building social capital and civic engagement, which significantly le... Read More about Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries.

Factors Indicating Media Dependency and Online Misinformation Sharing in Jordan (2023)
Journal Article
Habes, M., Elareshi, M., Mansoori, A., Pasha, S., Salloum, S. A., & Al-Rahmi, W. M. (2023). Factors Indicating Media Dependency and Online Misinformation Sharing in Jordan. Sustainability, 15(2), 1474. https://doi.org/10.3390/su15021474

Although social media is a vital platform in our life, it is blamed for poor efforts to moderate content included mis/disinformation and fake news. This could have an impact on its legacy and on sustainability in society in the long term. This resear... Read More about Factors Indicating Media Dependency and Online Misinformation Sharing in Jordan.

SMEs’ innovativeness and technology adoption as downsizing strategies during COVID-19: the moderating role of financial sustainability in the tourism industry using structural equation modelling (2022)
Journal Article
Shwedeh, F., Aburayya, A., Alfaisal, R., Adelaja, A. A., Ogbolu, G., Aldhuhoori, A., & Salloum, S. (2022). SMEs’ innovativeness and technology adoption as downsizing strategies during COVID-19: the moderating role of financial sustainability in the tourism industry using structural equation modelling. Sustainability, 14(23), 16044. https://doi.org/10.3390/su142316044

This study aims to identify why firms, specifically SMEs in the hospitality and tourism industry, downsized during the recent global economic distress caused by COVID-19. This study applied a quantitative methodology by distributing online questionna... Read More about SMEs’ innovativeness and technology adoption as downsizing strategies during COVID-19: the moderating role of financial sustainability in the tourism industry using structural equation modelling.

Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level (2022)
Journal Article

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

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

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 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. B., Alnazzawi, N., Shahin, I., Salloum, S. A., Hindawi, N., Lataifeh, M., & Elnagar, A. (2022). A Novel RBFNN-CNN Model for Speaker Identification in Stressful Talking Environments. Applied Sciences, 12(10), 4841. 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.

Prediction of User’s Intention to Use Metaverse System in Medical Education: A Hybrid SEM-ML Learning Approach (2022)
Journal Article
Almarzouqi, A., Aburayya, A., & Salloum, S. (2022). Prediction of User’s Intention to Use Metaverse System in Medical Education: A Hybrid SEM-ML Learning Approach. IEEE Access, 10, 43421-43434. https://doi.org/10.1109/access.2022.3169285

Metaverse (MS) is a digital universe accessible through a virtual environment. It is established
through the merging of virtually improved physical and digital reality. Metaverse (MS) offers enhanced
immersive experiences and a more interactive lea... Read More about Prediction of User’s Intention to Use Metaverse System in Medical Education: A Hybrid SEM-ML Learning Approach.

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.