Fahima Hajjej
Princess Nora bint Abdul Rahman University
53 Papers
57 Citations
Fahima Hajjej is an academic researcher from Princess Nora bint Abdul Rahman University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 1, co-authored 5 publications.
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Papers
Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level
Mohammed Amin Almaiah,Raghad Alfaisal,Said A. Salloum,Fahima Hajjej,Sarah Thabit,Fuad Ali El-Qirem,Abdalwali Lutfi,Mahmaod Alrawad,Ahmed Al Mulhem,Tayseer Alkhdour,Ali Bani Awad,Rana Saeed Al-Maroof +11 more
TL;DR: In this paper , the authors investigated the role of social anxiety and computer anxiety in an e-learning environment at the university level and proposed a theoretical framework to investigate how different variables such as satisfaction, motivation and self-efficacy can negatively or positively affect these two types of anxiety.
Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate
Mohammed Amin Almaiah,Raghad Alfaisal,Said A. Salloum,Fahima Hajjej,Rima Shishakly,Abdalwali Lutfi,Mahmaod Alrawad,Ahmed Al Mulhem,Tayseer Alkhdour,Rana Saeed Al-Maroof +9 more
TL;DR: In this article , the authors investigated users' experiences with Artificial Intelligence for governmental purposes in the Gulf area and found that the variables of diffusion theory have a positive impact on the two variables of ease of doing business and technology export.
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A Novel Hybrid Trustworthy Decentralized Authentication and Data Preservation Model for Digital Healthcare IoT Based CPS
TL;DR: A lightweight authentication and data preservation scheme for IoT based-CPS utilizing deep learning (DL) to facilitate decentralized authentication among legal devices is proposed and reveals incredible advancement in terms of comparative parameters in comparison with benchmark models.
Smart Mobile Learning Success Model for Higher Educational Institutions in the Context of the COVID-19 Pandemic
Mohammed Amin Almaiah,Sarra Ayouni,Fahima Hajjej,Abdalwali Lutfi,Omar Almomani,Ali Bani Awad +5 more
TL;DR: In this paper , the authors examined the most important drivers influencing the adoption of M-learning by using the technology acceptance model (TAM) and the structural equation modeling (SEM) method was used to test the hypotheses in the proposed model.
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A Lightweight Hybrid Deep Learning Privacy Preserving Model for FC-Based Industrial Internet of Medical Things
TL;DR: A blockchain-based deep-learning framework is designed where each participating entities are registered, verified, and thereafter validated using smart contract based enhanced Proof of Work to achieve the target of security and privacy.