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                <text>Almaiah, Mohammed Amin</text>
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                <text>Quality features are one of the most important issues that should be considered during the development of Mobile Social Networks (MSN) applications in learning environments. These features are considered one of the most important factors for the successful development of any system. In order to increase the chance of the successful development of MSN applications, there need to identify well-defined set of quality features for MSN applications adoption in the learning environment. Therefore, this study proposes a model that captures most important quality features of MSN applications based on extending the DeLone and McLean information systems success model empirically. The proposed model of this study is examined empirically through a survey of 235 students. The findings also indicate that there are positive relationships between students satisfaction, behavioral intention to use with the overall quality features. The proposed model presents for researchers and designers the most important quality features as guidelines to design and develop MSN applications with a positive effect on students’ behavioral intention to use of MSN applications, and this situation can lead to enhance the learning outcomes using this new application.</text>
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                <text>Copyright (c) 2019 Mohammed Abuhelaleh, Malek Alksasbeh, Mohammed Amin Almaiah, Mohamed AL-jaafreh, Anas Abu karaki</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 05 (2019); pp. 75-93</text>
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                <text>Towards a Model of Quality Features for Mobile Social Networks Apps in Learning Environments: An Extended Information System Success Model</text>
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                <text>This article aims to contribute to the establishment of a model of tablets’ situated acceptance in teaching practice in Moroccan primary schools. To do this, Davis' TAM has been adopted in the testing of this technology in its context of use. This research is conducted through a questionnaire administered in six primary schools in the region of Béni Mellal-Khénifra, one of the twelve regions of Morocco. An exploratory factorial analysis and another confirmatory one using structural equation modelling revealed that the appropriation of tablets is positively and directly influenced by the perception of its usefulness in teaching practice; and indirectly by teacher training and conditions that facilitate teachers’ work.&amp;nbsp;</text>
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                <text>Copyright (c) 2022 El Ayachi Rahali, Khalid El Khattabi, Ahmida Chikhaoui, Fatima  Ouzennou</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 14 (2022); pp. 182-200</text>
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                <text>1865-7923</text>
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                <text>Acceptance situated</text>
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                <text>Towards a Model of Situated Acceptance of Tablets in Teaching Practice in Moroccan Primary Schools</text>
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                <text>Europe has seen an alarming increase of populist parties throughout the last two decades. The European debt crisis has only added to their strength and support, and Eurosceptic attitudes have only increased, as exemplified by the recent Brexit vote. However, this exploratory paper will argue that the crisis to which populism has given rise allows the EU to critically reflect on itself and fix many of the fatal flaws that the increase in populist support has pointed out. It will be argued that the EU needs to create a strong civic society to help mend its democratic deficit. Finally, it will be argued that by incorporating particular elements of populist thought and critique (i.e., democratization and fairer economic policies), that is, implanting an “alter-europeanization,” that the ugly side of populism (its xenophobia and racism) will begin to lose support within European countries.
&amp;nbsp;
Full text available at: https://doi.org/10.22215/rera.v12i1.1234
&amp;nbsp;</text>
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                <text>Towards a New EU: Why Populism Can Save the European Union</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 01 (2020); pp. 126-140</text>
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                <text>Towards a New Scalable Big Data System Semantic Web Applied on Mobile Learning</text>
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                <text>As governments and international bodies worldwide sought to prevent the spread of Covid-19, underdeveloped countries have been particularly challenged as they have little or no technological models and frameworks in place and the literature offers little guidance. The current research applied a quantitative approach to researching educational practitioners’ perceptions of e-learning acceptance, using a sample of 4,024 educators and students from a range of Kuwaiti educational institutions. Findings indicate that respondents were slightly supportive of e-learning adoption, with a majority acknowledging its advantages. However, respondents also mention the need for development in the technological competencies required to operate the proposed e-learning programs and a range of challenges that may impact e-learning. Hence, the authors propose a distance and blended learning model (DBLM) to enhance the implementation, utilisation, and evaluation of e-learning within the Kuwaiti educational system. Also, an e-learning teacher capability maturity model (eTCMM) was proposed to foster educators’ competencies and enable their active use of e-learning platforms.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 10 (2021); pp. 173-193</text>
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                <text>Cyberattacks have increased in tandem with the exponential expansion of computer networks and network applications throughout the world. In this study, we evaluate and compare four features selection methods, seven classical machine learning algorithms, and the deep learning algorithm on one million random instances of CSE-CIC-IDS2018 big data set for network intrusions. The dataset was preprocessed and cleaned and all learning algorithms were trained on the original values of features. The feature selection methods highlighted the importance of features related to forwarding direction (FWD) and two flow measures (FLOW) in predicting the binary traffic type; benign or attack. Furthermore, the results revealed that whether models are trained on all features or the top 30 features selected by any of the four features selection techniques used in this experiment, there is no significant difference in model performance. Moreover, we may be able to train ML models on only four features and have them perform similarly to models trained on all data,which may result in preferable models in terms of complexity, explainability, and scale for deployment. Furthermore, by choosing four unanimity features instead of all traffic features, training time may be reduced from 10% to 50% of the training time on all features.</text>
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                <text>1865-7923</text>
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                <text>Cyberattacks</text>
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                <text>deep learning</text>
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                <text>Towards Data-Driven Network Intrusion Detection Systems: Features Dimensionality Reduction and Machine Learning</text>
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                <text>At the moment, there is a great interest in most universities to achieve higher ranking for better international standings and visibility. With shrinking resources such as financial and infrastructures, there is also a huge demand for the university to move forward and perform better in Research and Development (R&amp;amp;D) in each evaluation year. Key Performance Indicator (KPI) is an excellent tool to enculturate research in a Higher Education Institution (HEI). The culture must be built upon HEI’s strength and weaknesses. Hence, the right decision making tool must be develop to priorities different agendas such as QSWUR, THE, etc. Mobile platform provide an efficient way to engage with stakeholders particularly to measure HEI performance on R&amp;amp;D. There are three main activities involves for developing a decision support tool for measuring R&amp;amp;D impact in HEIs i.e. development of decision model using multi criteria decision making, dashboard prototype development including and UI/UX for mobile platform. This paper describe the importance of measuring the impact of R&amp;amp;D, prioritization technique and the process of prototype development. It is anticipates that our work could mitigate the gaps and improve the research ecosystem in HEIs.</text>
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                <text>Copyright (c) 2019 Mohd Faizal Omar, Siti Rasifah Ahmad Roshidi, Jastini Mohd. Jamil, Fazillah Mohmad Kamal</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 04 (2019); pp. 178-187</text>
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                <text>1865-7923</text>
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                <text>Towards Designing Tools for Universities’ R&amp;D Performance Measurement on Mobile Platform</text>
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                <text>The assessment process in an educational system is an important and primordial part of its success to assure the correct way of knowledge transmission and to ensure that students are working correctly and succeed to acquire the needed knowledge. In this study, we aim to include Semantic Web technologies in the E-learning process, as new components. We use Semantic Web (SW) to: 1) support the evaluation of open questions in e-learning courses, 2) support the creation of questions and exams automatically, 3) support the evaluation of exams created by the system. These components should allow for measuring academic performance, providing feedback mechanisms, and improving participative and collaborative ideas. Our goal is to use Semantic Web and Wireless technologies to design and implement the assessment system that allows the students, to take: web-based tutorials, quizzes, free exercises, and exams, to download: course reviews, previous exams and their model answers, to access the system through the Mobile and take quick quizzes and exercises. The system facilitates generation of automatic, balanced, and different exam sheets that contain different types of questions covering the entire curriculum, and display gradually from easiness to difficulty. The system provides the teachers and administrators with several services such as: store different types of questions, generate exams with specific criteria, and upload course assignments, exams, and reviews.</text>
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                <text>Copyright (c) 2017 Hosam Farouk El-Sofany, Samir A. El-Seoud</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 5 No. 1 (2011); pp. 22-30</text>
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                <text>1865-7923</text>
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                <text>Towards Development of Web-based Assessment System Based on Semantic Web Technology</text>
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