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                <text>Dina, Nasa Zata</text>
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                <text>In recent years, the use of ride hailing mobile application services is increasing exponentially. Customers’ expectation of these phone services varies and change dynamically as the needs of each individual also vary. Customer reviews about mobile application are honest, voluntary opinions; and these could become essential input for mobile application providers to measure satisfaction. However, managing a large number of reviews into actionable plans could be challenging. This study combines the Term Frequency-Inverse Document Frequency (TF-IDF) and Multiple-Criteria Decision-Making (MCDM)-VIKOR approach to process 600 reviews into a meaningful insight to enhance ride hailing mobile application services. The four-phase method analysis concluded that application ease of use and affordability are the most important aspects that most contribute to customers’ satisfaction in ride hailing mobile application services.</text>
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                <text>Copyright (c) 2021 Nasa Zata Dina, Ria Triwastuti, Mega Silfiani</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 17 (2021); pp. 104-118</text>
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                <text>1865-7923</text>
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                <text>customer reviews</text>
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                <text>VIKOR</text>
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                <text>TF-IDF Decision Matrix to Measure Customers’ Satisfaction of Ride Hailing Mobile Application Services: Multi-Criteria Decision-Making Approach</text>
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                <text>Gupta, Yuvika</text>
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                <text>Khan, Farheen Mujeeb</text>
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                <text>Agarwal, Sonal</text>
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                <text>In order to facilitate effective learning experiences for the students, mobile learning (m-learning) has evolved as a powerful component of education – learning and teaching. M-learning, as opposed to electronic learning (e-learning) which uses small and portable devices along with laptops and desktops, uses mostly small and portable technological tools. M-learning assists in imparting knowledge focusing on the need of the learner, accessibility, infrastructure, and interaction, irrespective of the place and time. With rapid advancements in Information and Communication Technologies (ICT) and mobile devices, myriad applications (apps) and innovative m-learning and e-learning services are being developed and launched at an unprecedented pace. For students representing different demographics (age, education level, class, socioeconomic status, location, etc.) and enrolled in higher education, m-learning has quickly become the modern style and preferred format of learning and accessing knowledge for its ease of integrating different modes of learning. Motivated by this novel m-learning learning movement, this study synthesizes existing research on m-learning technologies, technological platforms that cater to both synchronous and asynchronous learning/teaching modalities for students and teachers at institutions of higher education.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22503</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/22503/9427</text>
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              <elementText elementTextId="42456">
                <text>Copyright (c) 2021 Yuvika Gupta, Farheen Mujeeb Khan</text>
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              <elementText elementTextId="42457">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 12 (2021); pp. 140-157</text>
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                <text>1865-7923</text>
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                <text>M-learning</text>
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                <text>TAM</text>
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                <text>UTAUT</text>
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                <text>Diffusion of innovation</text>
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                <text>Higher education</text>
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                <text>Exploring Factors Influencing Mobile Learning in Higher Education – A Systematic Review</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="42420">
                <text>Mahdi, Hussain</text>
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                <text>Al-Bander, Baidaa</text>
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                <text>Alwan, Mohammed Hasan</text>
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                <text>Abood, Mohammed Salah</text>
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                <text>Hamdi, Mustafa Maad</text>
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                <text>Moving is the key to modern life. Most things are in moving such as vehicles and user mobiles, so the need for high-speed wireless networks to serve the high demand of the wireless application becomes essential for any wireless network design. The use of web browsing, online gaming, and on-time data exchange like video calls as an example means that users need a high data rate and fewer error communication links. To satisfy this, increasing the bandwidth available for each network will enhance the throughput of the communication, but the bandwidth available is a limited resource which means that thinking about techniques to be used to increase the throughput of the network is very important. One of the techniques used is the spectrum sharing between the available networks, but the problem here is when there is no available channel to connect with. This encourages researchers to think about using scheduling as a technique to serve the high capacity on the network. Studying scheduling techniques depends on the Quality-of-Service (QoS) of the network, so the throughput performance is the metric of this paper. In this paper, an improved Best-CQI scheduling algorithm is proposed to enhance the throughput of the network. The proposed algorithm was compared with three user scheduling algorithms to evaluate the throughput performance which are Round Robin (RR), Proportional Fair (PF), and Best-CQI algorithms. The study is performed under Line-of-Sight (LoS) link at carrier frequency 2.6 GHz to satisfy the Vehicular Long Term Evolution (LTE-V) with the high-speed scenario. The simulation results show that the proposed algorithm outperforms the throughput performance of the other algorithms.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22475</text>
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                <text>10.3991/ijim.v15i21.22475</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/22475/10173</text>
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                <text>Copyright (c) 2021 Hussain Mahdi, Baidaa Al-Bander, Mohammed Hasan Alwan, Mohammed Salah Abood, Mustafa Maad Hamdi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 21 (2021); pp. 52-66</text>
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                <text>1865-7923</text>
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                <text>LTE-V</text>
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                <text>Round Robin</text>
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                <text>Vehicular Networks Performance Evaluation Based on Downlink Scheduling Algorithms for High-Speed Long Term Evolution – Vehicle</text>
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                <text>Siripongdee, Kobchai</text>
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                <text>In 2021, the COVID-19 pandemic is still not over. Thailand is the one that is facing the second wave of new coronavirus. Schools and universities were closed, and faculties need to mostly teach with Online pedagogy, including the graduate students' courses. This study proposes to focus on the Ubiquitous area of the Blended Learning model with IoT-based to solve a problem of graduate students and their advisors by the qualitative focus-group technique. The mobile application draft was synthesized and designed to track and monitor graduate students' research activities on smartphones by built-in sensors. They should stay active along while researching the advisor’s assignments on their smartphone. Non-active periods are implied when several behaviors are detected. Virtualize dashboards are processed to report the total active learning period of students for the advisor's evaluation.Moreover, students can continually monitor their self-efficacy to improve the online learning process. Besides, this study proposes to confirm the model’s quality by twelve experts with the questionnaire. The results show average scores of Propriety, Utility, Feasibility, and Accuracy standard are 4.32, 4.41, 4.37, and 4.21, respectively. Therefore, the Blended Learning model's overall qualities with IoT-based smartphones are extremely high and proper to implement.</text>
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                <text>Copyright (c) 2021 Kobchai Siripongdee</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 11 (2021); pp. 166-182</text>
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                <text>1865-7923</text>
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                <text>Abstrait-Ce travail vise à étudier comment une expérience de formation à distance de trois jours pour enseignants, programmée d'urgence, pour développer chez ces enseignants les capacités d'utilisation de la plateforme numérique, la création et la gestion de ressources numériques, ainsi que la création et la gestion d'un évaluation, afin qu'ils soient en mesure d'assurer correctement la continuité pédagogique. La mise en place de ce mode de formation a été recommandée dans un état d'urgence en raison de la pandémie de Corona Virus qui a été connue dans le monde entier et qui a provoqué la fermeture des écoles, ce qui a forcé le passage du mode présentiel à l'enseignement à distance, au cours de l'année 2020. Cette formation à distance, qui concerne les enseignants des écoles, était nécessaire pour développer leurs capacités à utiliser ce nouveau mode d'enseignement.A partir du cadre de l'évaluation de la formation professionnelle, et à travers les outils de collecte de données construits et utilisés dans cette recherche, les résultats montrent une certaine évolution dans les conceptions de ces enseignants pour revisiter les objectifs de cette formation par les enseignants-formateurs pour son déploiement éventuel.</text>
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            <description>Information about rights held in and over the resource</description>
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                <text>Copyright (c) 2021 soumia TAMANI, zahra amad, Elmostafa ElKHOUZAI, Mohamed RADID</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 17 (2021); pp. 119-140</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>continuing education</text>
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                <text>technological competence</text>
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                <text>professionalization.</text>
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                <text>Analysis on the Actions of a Continuous Distance Training Session for Teachers and its Impact on Their Actual Practices</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Tsoukos, Serafeim</text>
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                <text>Lazos, Panagiotis</text>
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                <text>Tzamalis, Pavlos</text>
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                <text>Kateris, Alexandros</text>
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                <text>This study seeks to answer the question of how effectively students can use their smartphones as tools for measuring and processing data when they perform physics experiments. The research was conducted in a local secondary school in Athens, Greece. The sample consisted of fifty-two 16-year-old students (10th grade). The students formed 26 pairs, and were asked to perform an experiment using their smartphones for measuring, processing and saving data, and then to email the data file to the researchers. During the implementation, students of each pair completed the steps on a worksheet. Two researchers monitored each pair individually and recorded scores and comments on evaluation sheets. The worksheets, the evaluation sheets, and the experimental data emailed by each pair constituted the data of the present study. The findings of the study show that the integration of students' smart mobile devices in the performance of physics experiments in the classroom or in the school lab is possible without posing particular problems. However, this integration presupposes the proper planning by the teacher and the dedication of appropriate time both for the preparation of the students for the activity, and for the installation of the necessary applications in the devices.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22375</text>
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                <text>10.3991/ijim.v15i14.22375</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="42361">
                <text>Copyright (c) 2021 Serafeim Tsoukos, Panagiotis Lazos, Pavlos Tzamalis, Alexandros Kateris, Athanasios Velentzas</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 14 (2021); pp. 55-71</text>
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                <text>1865-7923</text>
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                <text>Smartphone Sensors</text>
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                <text>School Lab</text>
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                <text>BYOD</text>
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                <text>Physics Experiments</text>
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                <text>How Effectively Can Students’ Personal Smartphones be Used as Tools in Physics Labs?</text>
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                <text>Okuboyejo, Senanu</text>
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                <text>Koyejo, Ooreofe</text>
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                <text>Mobile learning applications (apps) are increasingly and widely adopted for learning purposes and educational content delivery globally, especially with the massive means of accessing the internet done majorly on mobile handheld devices. Users often submit their feedback on use, experience and general satisfaction via the reviews and ratings given in the digital distribution platforms. With this massive information given through the reviews, it presents an opportunity to derives valuable insights which can be utilized for various reasons and by different stakeholders of these mobile learning apps. This large volume of online reviews creates significant information overload which presents a time-consuming task to read through all reviews. By combining text mining techniques of topic modeling using Latent Dirichlet Algorithm (LDA) and sentiment analysis using Linguistic Inquiry Word Count (LIWC), we analyze these user reviews. These techniques identify inherent topics in the reviews and identifies variables of user satisfaction of mobile learning apps. The thematic analysis done reveals different keywords which guide classification into the topics identified. Conclusively, the topics derived are important to app stakeholders for further modifications and evolution tasks.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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              <elementText elementTextId="42336">
                <text>Copyright (c) 2021 Senanu Okuboyejo, Ooreofe Koyejo</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 15 (2021); pp. 47-58</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 13 (2021); pp. 4-15</text>
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                <text>Passwords are considered the most commonly used method of authentication.  Unfortunately, weak passwords are known to be the main cause of many cyber attacks.  With stronger passwords, it is believed that this first line of defence would be able to reduce the risk of cyber attacks, trespass and information exposure.   A password strength metre application was, therefore, developed so that users can try out the passwords of their choice before actually deciding to register them.  Although the application contains such information as password entropy, password quality index and password complexity index, the data is presented in a user-friendly way so that it is intuitive to any users.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 15 (2021); pp. 59-73</text>
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                <text>At present, learning mobile applications (apps) have become highly popular and are widely used. However, they will only be accepted by users if their usability is of an acceptable level. Usability tests assist to measure the impact of a mobile learning app; researchers focus on the compatibility of the app interface with the cognitive skills of children and easy usage. The “BenKids” app has been designed especially for pre-school children (aged three to five). It was created for android devices to teach vocabulary to pre-school children by providing the user with an easy and simple interface. This study aimed to demonstrate a relationship between learning and the usability of the “BenKids” mobile app and explore its impact on children’s learning. The usability of the “BenKids” app was measured with 10 pre-school children. The results showed the effective usability of the app and strongly impacts learning.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 24 (2021); pp. 4-18</text>
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