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                <text>Dyslexia is a problem that an individual has since birth; it poses difficulties for the rest of their life, similar to other learning disabilities. Spelling, writing, reading and in certain instances speech can all be undermined by the language processing disorder. Idleness or a lack of intellect are not associated with dyslexia. Furthermore, sight problems do not cause dyslexia. Rather, data is evaluated and understood by the brain in alternative ways, making dyslexia a neurological ailment afflicting both children and grown-ups.This paper seeks to devise a puzzle game application based on eye tracking, which will assist with focusing attention, as well as a chatbot that can motivate users. This should prove beneficial to individuals with dyslexia, parents of dyslexics, or experts such as reading professionals, instructors and teachers who are assisting dyslexics. Based on the best current understanding of how to assist dyslexics, we meticulously assessed every application prior to its inclusion. </text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 5 (2018); pp. 58-80</text>
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                <text>Considering that application security is an important aspect, especially nowadays with the increase in technology and the number of fraudsters. It should be noted that determining the security of an application is a difficult task, especially since most fraudsters have become skilled and professional at manipulating people and stealing their sensitive data. Therefore, we pay attention to trying to spot insecurity apps, by analyzing user feedback on the Google Play platform and using sentiment analysis to determine the apps level of security. As it is known, user reviews reflect their experiments and experiences in addition to their feelings and satisfaction with the application or not. But unfortunately, not all of these reviews are real, and as is known, the fake reviews do not reflect the sincerity of feelings, so we have been keen in our work to filter the reviews to be the result is accurate and correct. This study is useful for both users wanting to install android apps and for developers interested in app optimization.</text>
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                <text>Copyright (c) 2021 Abeer Aljumah, Amjad Altuwijri, Thekra Alsuhaibani, Afef Selmi, Nada Alruhaily</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 24 (2021); pp. 123-133</text>
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                <text>Android Apps Security Assessment using Sentiment Analysis Techniques: Comparative Study</text>
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                <text>Considering that application’s security is an important aspect, especially nowadays with the increase in technology and the number of fraudsters. It should be noted that determining the security of an application is a difficult task, especially since most fraudsters have become skilled and professional at manipulating people and stealing their sensitive data. Therefore, we pay attention to spot insecure apps by analyzing user feedback on Google Play platform using sentiment analysis. As it is known, user reviews reflect their experiments and experiences in addition to their feelings and satisfaction with the application. But unfortunately, not all of these reviews are real, fake reviews do not reflect the sincerity of feelings, so we have been keen in our work to filter the reviews and deliver accurate and correct results. This tool is useful for both users wanting to install an android app and for developers interested in app’s optimization.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 178-185</text>
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                <text>1865-7923</text>
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                <text>Identification of Fraud Apps Using Sentiment Analysis Techniques</text>
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                <text>Alkalbani, Abdullah Said</text>
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                <text>Md Tap, Abu Osman</text>
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                <text>Mantoro, Teddy</text>
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                <text>In this paper, popular routing protocols for Wireless Sensor Networks (WSNs) are studied. There are many issues and challenges that effect routing of data. First, high energy is consumed which reduces network lifetime. Second, security of routing path is another issue due to development in the cryptanalysis against nodes. The aim of this paper is to propose an energy aware routing approach that considers energy level for sensors during cluster heads and routing path selections. Performance, network efficiency and maximizing network lifetime are measured by simulation, analysis and comparison with other well-known mechanisms.</text>
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                <text>Copyright (c) 2017 Abdullah Said Alkalbani, Abu Osman Md Tap, Teddy Mantoro</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 9 No. 1 (2015); pp. 23-30</text>
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                <text>1865-7923</text>
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                <text>Abstract— Network security engineers work to keep services available all the time by handling intruder attacks. Intrusion Detection System (IDS) is one of the obtainable mechanism that used to sense and classify any abnormal actions. Therefore, the IDS must be always up to date with the latest intruder attacks signatures to preserve confidentiality, integrity and availability of the services. The speed of the IDS is very important issue as well learning the new attacks. This research work illustrates how the Knowledge Discovery and Data Mining (or Knowledge Discovery in Databases) KDD dataset is very handy for testing and evaluating different Machine Learning Techniques. It mainly focuses on the KDD preprocess part in order to prepare a decent and fair experimental data set. The techniques J48, Random Forest, Random Tree, MLP, Naïve Bayes and Bayes Network classifiers have been chosen for this study. It has been proven that the Random forest classifier has achieved the highest accuracy rate for detecting and classifying all KDD dataset attacks, which are of type (DOS, R2L, U2R, and PROBE).</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/9679</text>
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                <text>Copyright (c) 2019 Ibrahim obeidat</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 01 (2019); pp. 70-84</text>
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                <text>1865-7923</text>
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                <text>— IDS</text>
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                <text>Intensive Pre-Processing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques</text>
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                <text>Alturise, Fahad</text>
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                <text>Alshmrany, Sami</text>
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                <text>Alkhalifah, Tamim</text>
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                <text>Alkhalaf, Salem</text>
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                <text>The Saudi Arabian government is committed to updating and improving its education system. Thus, in March 2017, a project was declared to convert the existing book-based methodology to modern, mobile technology in the K-12 education space by 2021. As part of this process, a deep-dive literature review of student acceptance of mobile learning confirmed that there was limited research into what elements had an effect on how much students were likely to accept learning with mobile applications in the five to 18-year-old demographic of K-12. The conclusion of the literature review was that the Saudi Arabian Education Ministry must acquire an understanding of these elements in order to strategize the implementation of the new technology. This study approached high school students, aged 16 – 18, in Saudi Arabia, to examine the elements which would influence their acceptance of mobile learning technology. The research consolidated known elements of education, namely learning self-management, system quality, and hedonic motivation with the Unified Theory of Acceptance and Use of Technology (UTAUT) to create a significant theoretical model for the new technology in a high school setting. Conclusions were drawn that societal influence did not affect the student’s approach to mobile learning, but that learning self-management, the expectancy of effort and performance, hedonic motivation and the quality of the system did affect the acceptance behaviour of the students. It was also noted that gender was not a significant factor in the study</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/25671</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/25671/10549</text>
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              <elementText elementTextId="45045">
                <text>Copyright (c) 2021 Fahad Alturise, Sami Alshmrany, Tamim Alkhalifah, Salem Alkhalaf</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 01 (2022); pp. 52-77</text>
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                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>Mobile learning</text>
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                <text>Secondary education</text>
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                <text>Distance education and online learning.</text>
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                <text>Factors Influencing the Acceptance of Mobile Learning in K-12 Education in Saudi Arabia: Towards a Shift in the Saudi Education System vis-à-vis Saudi 2030 Vision</text>
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              <elementText elementTextId="48882">
                <text>Alsarhan, Ayoub</text>
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                <text>Igried, Bashar</text>
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                <text>Fahed Al-Serhan, Atalla</text>
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                <text>Alkhalidy , Muhsen</text>
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                <text>The evolution of the current centric cloud to distributed clouds such as fog presents a suitable path to counteract the intolerable processing delays for time-critical applications. It is anticipated that more fog nodes (FN) will be connected to the IoT paradigm to improve the quality of service and meet the requirements of emerging IoT applications. Typically, the owner manages these FN nodes opening up promising doors towards new business opportunities. Thus, this paper considers fog computing driven network that consists of a set of FNs, distributed on the network edge to serve cloud clients.&amp;nbsp; Cloud service provider (CSP), in turn, can offer new services, define a profile for each service, and set generate revenue.&amp;nbsp; However, new schemes should be developed to make this dynamic business model economically feasible. In this context, we propose a new intelligent scheme for service trading, in which a new genetic algorithm is developed for selecting a set of optimal clients that maximize CSP’s profit using game theory for setting the service price. Game theory captures the conflict between cloud clients and CSP, where clients and CSP try to maximize their respective utilities. While CSP attempts to maximize profit, each client tries to negotiate for a lower service price.&amp;nbsp; Simulation results stress that the CSP can maximize profit by utilizing computational resources efficiently and selecting service requests with the highest possible bid.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30479</text>
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              <elementText elementTextId="48890">
                <text>10.3991/ijim.v16i10.30479</text>
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                <text>eng</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30479/11363</text>
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                <text>Copyright (c) 2022 Ayoub Alsarhan, Dr. Bashar Alkhawaldeh, Atalla  Fahed Al-Serhan, Muhsen  Alkhalidy</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 191-209</text>
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                <text>1865-7923</text>
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            <description>The topic of the resource</description>
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                <text>fog computing, Internet of Things (IoT), game theory, genetic algorithm.</text>
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                <text>A Novel Genetic and Intelligent Scheme for Service Trading  in IoT Fog Networks</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 01 (2022); pp. 38-51</text>
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                <text>Using ICTs in education allows the effective integration of new technologies into the educational process. Developing information and communication technologies also require timely changes in knowledge evaluation and use. As a result, methods, techniques, and technologies used in learning are being updated. In this study, a method for developing an automated educational and methodical complex based on a semantic network is described. Requirements for such educational and methodological complex have been formulated. Structural and formal models of tools based on a semantic network have been presented. The purpose of developing the model is to make it easier for students to perceive the various educational and methodological complexes through its compilation on the basis of a holistic view of the subject area, as well as to optimize the work of the teacher.&amp;nbsp;</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 201-217</text>
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                <text>1865-7923</text>
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                <text>The study aims to identify the impact of blended learning using the Ideas Box on the motivation toward learning among non-formal education female students in the Syrian refugee camps in Jordan. A semi-experimental approach was adopted; the sample of the study consisted of 30 female students enrolled in the Culture Promotion Program for Dropouts, second cycle, in the JOHUD Center for Social Support in January 2020. The experimental group consisted of 15 students who were taught the Islamic Pillars unit using the Ideas Box while the control group consisted of 15 students taught the same unit using the traditional way. Results show that there were no significant differences in mean scores of motivation between the two groups. This finding stresses the need for redesigning the current program used to teach students receiving the non-formal education to incorporate the Ideas Box into the curriculum.</text>
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                <text>Copyright (c) 2021 Asma’a Alkhatib, Suhair Jaradat</text>
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                <text>1865-7923</text>
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