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Institution

University of Jordan

EducationAmman, Jordan
About: University of Jordan is a education organization based out in Amman, Jordan. It is known for research contribution in the topics: Population & Health care. The organization has 7796 authors who have published 13764 publications receiving 213526 citations.


Papers
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Proceedings ArticleDOI
01 Aug 2019
TL;DR: A framework named as BloHosT (Blockchain Enabled Smart Tourism and Hospitality Management), which allows tourists to interact with various stakeholders through a single wallet identifier linked with a cryptocurrency server to initiate payments and achieves a high Return of Investment (ROI) in tourism sector as compared to traditional frameworks.
Abstract: In the era of Industry 4.0, e-tourism uses bulk of digital payments through applications supported by heterogeneous payment gateways. These heterogeneous payment gateways open the doors for the attackers to perform malicious activities such as-hacking of wallet accounts, identity theft, attacks on payment clearance cycles. In e-tourism, financial data is maintained in a centralized cloud server, which can lead to payment failures during peak traffic. The aforementioned issues can be addressed by the usage of a decentralized mechanism such as-blockchain, which enables trust and reputation management among various stakeholders such as-banks, travel agencies, airports, railways, cruises, hotels, restaurants, and local taxis. Motivated by the above discussion, we propose a framework named as BloHosT (Blockchain Enabled Smart Tourism and Hospitality Management), which allows tourists to interact with various stakeholders through a single wallet identifier linked with a cryptocurrency server to initiate payments. BloHosT uses an immutable ledger, where no proofs are required during travel that provides a hassle-free experience to tourists. Also, a Tourism enabled Deep-Learning (TeDL) framework is presented as a part of BloHosT framework, which is trained on experience of previous visited travelers. It provides rating scores to prospective travelers about the recently visited locations by previous travelers. Finally, through case studies, we demonstrate that BloHosT achieves a high Return of Investment (ROI) in tourism sector as compared to traditional frameworks.

93 citations

Journal ArticleDOI
04 Feb 2021
TL;DR: In this paper, an extended technology acceptance model and theory of planned behavior model were proposed to analyze university students' adoption of mobile learning platforms for accessing course materials, searching the web for information related to their disciplines, sharing knowledge, and submitting assignments during the COVID-19 pandemic.
Abstract: Background: Mobile learning has become an essential instruction platform in many schools, colleges, universities, and various other educational institutions across the globe, as a result of the COVID-19 pandemic crisis. The resulting severe, pandemic-related circumstances have disrupted physical and face-to-face contact teaching practices, thereby requiring many students to actively use mobile technologies for learning. Mobile learning technologies offer viable web-based teaching and learning platforms that are accessible to teachers and learners worldwide. Objective: This study investigated the use of mobile learning platforms for instruction purposes in United Arab Emirates higher education institutions. Methods: An extended technology acceptance model and theory of planned behavior model were proposed to analyze university students’ adoption of mobile learning platforms for accessing course materials, searching the web for information related to their disciplines, sharing knowledge, and submitting assignments during the COVID-19 pandemic. We collected a total of 1880 questionnaires from different universities in the United Arab Emirates. Partial least squares-structural equation modeling and machine learning algorithms were used to assess the research model, which was based on the data gathered from a student survey. Results: Based on our results, each hypothesized relationship within the research model was supported by our data analysis results. It should also be noted that the J48 classifier (89.37% accuracy) typically performed better than the other classifiers when it came to the prediction of the dependent variable. Conclusions: Our study revealed that teaching and learning could considerably benefit from adopting remote learning systems as educational tools during the COVID-19 pandemic. However, the value of such systems could be lessened because of the emotions that students experience, including a fear of poor grades, stress resulting from family circumstances, and sadness resulting from a loss of friends. Accordingly, these issues can only be resolved by evaluating the emotions of students during the pandemic.

92 citations

Journal ArticleDOI
TL;DR: The comparative analysis shows that IMBO provides very competitive results and tends to outperform current algorithms, proving the merits of this algorithm for solving challenging problems.
Abstract: This work is a seminal attempt to address the drawbacks of the recently proposed monarch butterfly optimization (MBO) algorithm. This algorithm suffers from premature convergence, which makes it less suitable for solving real-world problems. The position updating of MBO is modified to involve previous solutions in addition to the best solution obtained thus far. To prove the efficiency of the Improved MBO (IMBO), a set of 23 well-known test functions is employed. The statistical results show that IMBO benefits from high local optima avoidance and fast convergence speed which helps this algorithm to outperform basic MBO and another recent variant of this algorithm called greedy strategy and self-adaptive crossover operator MBO (GCMBO). The results of the proposed algorithm are compared with nine other approaches in the literature for verification. The comparative analysis shows that IMBO provides very competitive results and tends to outperform current algorithms. To demonstrate the applicability of IMBO at solving challenging practical problems, it is also employed to train neural networks as well. The IMBO-based trainer is tested on 15 popular classification datasets obtained from the University of California at Irvine (UCI) Machine Learning Repository. The results are compared to a variety of techniques in the literature including the original MBO and GCMBO. It is observed that IMBO improves the learning of neural networks significantly, proving the merits of this algorithm for solving challenging problems.

92 citations

Journal ArticleDOI
TL;DR: Examination of instructors’ perceptions towards VR integration through a case study in a Faculty of Information Technology in a University in the Middle East revealed the instructors willingness to adopt VR systems as a teaching aid, their intention to incorporate it into the education process in the future, and technology training may be maximized for the integration of VR technology.
Abstract: The use of technological tools is increasing rapidly in all fields, especially in education, which has moved from pen, pencil, and books, to using interactive technologies to help impart knowledge and understanding. Recent years have witnessed students facilitating immersive digital technology. However, it remains a challenge to provide sufficient learning medias to higher education students. The lack of novel technologies in the learning process does not necessarily mean that the students’ educational level will be affected, but it may result in the need for extra efforts from both students and instructors in some fields. In order to allow education to catch up with technology, technological tools need to be utilized in the educational process. Virtual Reality (VR) is considered one of the novel options to add value to the learning journey. VR enables students to discover and explore their own knowledge. Furthermore, it makes the learning process more interesting, which improves students’ motivation and attention. To ensure the actual active use of VR technology when embedded in higher education institutions, various factors that influence the acceptance or resistance of the technology integration should be examined prior to technology integration: Students and teaching staff perceptions, institutional support, barriers of integration, motivation for integration, prior technology experience, etc. This paper aims to examine instructors’ perceptions towards VR integration through a case study in a Faculty of Information Technology (IT) in a University in the Middle East. Respondents surveyed in this study consisted of faculty members. A quantitative method were used, an adapted questionnaire was distributed online amongst IT teaching staff assessing their views about the possibility of the implications of VR as teaching aid. Descriptive statistics were used to analyze the questionnaire data. Results obtained from the quantitative data revealed the instructors willingness to adopt VR systems as a teaching aid, their intention to incorporate it into the education process in the future, barriers to technology use, users prior knowledge in technology. The results also revealed that technology training may be maximized for the integration of VR technology. This paper concludes with recommendations to facilitate the use of VR technology as a learning medium.

92 citations

Journal ArticleDOI
TL;DR: In this paper, the efficiency of decontamination of aflatoxin residues in poultry feeds through exposure to sunlight (solar radiation), γ-radiation ( 60 Co), and microwave heating were investigated in artificially contaminated feed samples.
Abstract: SUMMARY The efficiency of decontamination of aflatoxin residues in poultry feeds through exposure to sunlight (solar radiation), γ-radiation ( 60 Co), and microwave heating were investigated in artificially contaminated feed samples. Photodegradation of aflatoxin by sunlight has been found to cause a significant (P < 0.05) decrease in both B1 and the total aflatoxins. Moreover, the degrees of aflatoxins were dependent on exposure time. Both aflatoxin B1 and total aflatoxins were decreased when feed samples exposed to sunlight by 42.3, 39.9, 75.5, and 65.9% for 3 and 30 h of direct sunlight of the treatment T1, whereas feed samples subjected to γ-irradiation and microwave heating caused a significant (P < 0.05) decrease in aflatoxin B1 contents by 42.7 and 32.3% for γ-irradiation and microwave heating (T3 of 25 kGy and 10 min of microwave heating), respectively. Therefore, the solar radiation was more effective in aflatoxin B1 reduction when compared with γ-irradiation and microwave heating.

92 citations


Authors

Showing all 7905 results

NameH-indexPapersCitations
Yousef Khader94586111094
Crispian Scully8691733404
Debra K. Moser8555827188
Pierre Thibault7733217741
Ali H. Nayfeh7161831111
Harold S. Margolis7119926719
Gerrit Hoogenboom6956024151
Shaher Momani6430113680
Robert McDonald6257717531
Kaarle Hämeri5817510969
James E. Maynard561419158
E. Richard Moxon5417610395
Liam G Heaney532348556
Stephen C. Hadler5214811458
Nicholas H. Oberlies522629683
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202334
2022163
20211,459
20201,313
20191,166
2018932