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                <text>Scolari, Carlos Alberto</text>
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                <text>The article sets out the findings of research carried out in 2013 on the Spanish tourism mobile applications. The research that covered 66 apps combined a quantitative description of this sector with qualitative categories based on a semiotic analysis. The article evaluates and compares the apps, identifies their main traits, and proposes a taxonomy: the content-based app, the participatory app and the leisure app.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/3575</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/3575/3114</text>
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                <text>Copyright (c) 2017 Carlos Alberto Scolari, José Fernández-Cavia</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 8 No. 2 (2014); pp. 15-22</text>
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                <text>1865-7923</text>
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                <text>Mobile media</text>
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                <text>Mobile Applications and Destination Branding in Spain</text>
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                <text>Abou El-Seoud, Samir</text>
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                <text>Taj-Eddin, Islam</text>
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                <text>Different types of e-assessment systems that are recognized at universities and based on the campus wireless have been developed. These systems help the students to use their Mobile Phones as learning media to access the information more easily from anywhere and at any time.  Seppala and Alamaki developed a mobile learning project for teacher training. Their study compared the effectiveness of internet, face-to-face and mobile based instructions.        Al Masri has proposed a study to compare the effective strategy in paper-based assessment with mobile-based assessment for assessing university students in English literature. It has been found that students gained better scores in mobile phone-based test than in paper-based test.  This paper aims to determine and measure the effects of mobile-based assessments on the perception, achievement levels and performance of the students in internet-assisted courses. The main functionalities and features of this paper are: Knowledge evaluation, automatic generation of exams, exam grading, communication, course management, and questions-bank database.</text>
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                <text>Copyright (c) 2017 Samir Abou El-Seoud, Hosam El-Sofany, Islam Taj-Eddin</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 10 No. 3 (2016); pp. 42-53</text>
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                <text>1865-7923</text>
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                <text>E-Learning</text>
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                <text>Interactive Educational Applications</text>
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                <text>Mobile Applications and Semantic-Web – A case study on Automated Course Management</text>
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                <text>Mallampalli, Sasi Sekhar</text>
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                <text>Goyal, Shriya</text>
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                <text>Developing writing skills in a foreign language is one of the demanding tasks for both teachers and students. It not only demands extensive reading and intensive practice in writing both inside and outside the classroom but also timely feedback and error-correction. The experimental study aimed at studying the impact of collaborative writing tasks using mobile applications like WhatsApp, Google Docs, and Google Slides on enhancing the writing ability at the pre-intermediate level of Common European Frame of Reference (CEFR). The participants were tertiary level students of Cihan University who were randomly divided into two equal groups (n=28). One group used WhatsApp and the other group used the Google Docs and Google Slides apps on their mobile devices. The comparative study analyzed the impact of each application on improving the writing skills of the students with pretest and posttest results and semi-structured interviews. The results indicated that the participants who used Google Docs and Google Slides apps have performed better than the participants in the WhatsApp group. The results have implications for teachers teaching writing skills and students who write using mobile applications.</text>
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                <text>Copyright (c) 2021 Sasi Sekhar Mallampalli, Shriya Goyal</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 07 (2021); pp. 185-193</text>
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                <text>1865-7923</text>
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                <text>Mobile Assisted Language Learning</text>
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                <text>Mobile Applications for Developing Second Language Collaborative Writing</text>
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                <text>Abulhaija, Sabreen</text>
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                <text>Hattab, Shayma</text>
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                <text>Abdeen, Ahmad</text>
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                <text>Etaiwi, Wael</text>
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                <text>The use of mobile phones is increasing all the time. These phones have become increasingly vital and beneficial in all parts of our lives, including social and business sides. Mobile applications are expanding with new upgrades and editions every day due to this expansion. This increase makes it more difficult for consumers, particularly those who are not technologically minded, to determine which applications to install and use. It is much more difficult for developers to ensure that their apps will be used and lucrative. Several research papers have been published in the recent five years to investigate mobile applications' rating to aid users and developers in making the best decision possible by employing various classifications and methodologies. This study provides a literature review research analyzed mobile app evaluations from 2018 to 2022 using various datasets.&amp;nbsp; In addition, a new taxonomy is proposed to classify the research papers that looked at the rating of mobile apps into three categories: predictive modeling, sentiment analysis, and priority ranking of the most significant features</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 19 (2022); pp. 133-146</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 6 (2018); pp. 47-61</text>
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                <text>1865-7923</text>
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                <text>Mobile Technology</text>
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                <text>Haerazi, Haerazi</text>
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                <text>Utama, I Made Permadi</text>
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                <text>Hidayatullah, Heri</text>
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                <text>This study was aimed at investigating; (1) the pre-service teachers used the MobApps (WhatsApp, U-Dictionary, and Email) to participate in mobile-assisted language learning (MALL) viewed from the critical thinking ability in the teaching of writing skills and; (2) the effectiveness of the Mobile-assisted language learning (MALL) towards pre-service teachers’ writing skills in relation to critical thinking ability. This study was a mixed method using the concurrent embedded strategy. The researchers involve qualitative strategies and quantitative strategies. Both kinds of data are collected simultaneously. This study was conducted in the English language education departments of FPBS IKIP Mataram, Indonesia. 58 pre-service teachers were involved in this study. The qualitative data were attained from pre-service teachers attending the writing classes using observation sheets. Meanwhile, the quantitative data were gained from experimental design through a nonequivalent control-group design. The groups were evaluated by using a writing test and a critical thinking test. The results showed that the pre-service teachers conducted a discussion of what they have to write. The learning activities are done under several stages. The end of this is that the pre-service teachers are able to create a complete descriptive text. Besides, the use of the MALL model was more effective than non-mobile learning to improve pre-service teachers’ writing skills viewed from critical thinking skills.</text>
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                <text>Copyright (c) 2020 Haerazi Haerazi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 07 (2020); pp. 58-72</text>
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                <text>1865-7923</text>
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                <text>Mobile Applications to Improve English Writing Skills Viewed from Critical Thinking Ability for Pre-Service Teachers</text>
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                <text>M-learning has the potential to take education out of classroom boundaries. Based on the device used, any student/learner can access a vast area of content. Varying from podcasts to videos, participate in virtual lessons or just ask a mentor over the net directly for answers to his problems. These new technological capabilities create demand for rethinking pedagogy and school system education. For that reason our examples of mobile applications within education (formal/informal) been made in correlation with technology. Usability details for each app are being discussed through the ISO9241 part11 standard. While describing current trends by taking in consideration curriculum prescribed directions and differentiated instruction’s theoretical suggestions.</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 4 (2017); pp. 17-29</text>
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                <text>1865-7923</text>
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                <text>Mobile Applications within Education: An Overview of Application Paradigms in Specific Categories</text>
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                <text>Nowadays, mobile applications seem to play a vital role in both dyslexia screening and intervention, accumulating numerous assets and comforts in according to dyslexics’ needs and learning pace. Initial detection of students’ disabilities, followed by a corresponding intervention program were the best combination of actions in an attempt to any problem be confronted effectively. In our today’s society, mobile apps have been considered as an alternative approach for the success of these well-known key steps, as well. The aim of this literature review is to propose a great number of screening and treatment mobile applications for dyslexia. During the last decades these  have been developed or have been implemented, focused on different aspects of dyslexia symptoms (reading, writing, mathematical difficulties, memory etc.) The studies are categorized into two sections, based on the purpose for which mobile applications are used at a time. The first part reflects a mobile app as a detection tool, while the second part presents it as intervention tool.</text>
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              <elementText elementTextId="36751">
                <text>Copyright (c) 2020 Stratigoula Politi-Georgousi, Athanasios Drigas</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 4-17</text>
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                <text>1865-7923</text>
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                <text>Mobile Applications, An Emerging Powerful Tool for Dyslexia Screening and Intervention: A Systematic Literature Review</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Arumugam, Rooban</text>
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                <text>Md Noor, Norah</text>
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                <text>2021-12-08</text>
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                <text>Mobile learning (or m-learning) is the ability to learn anywhere and at any time using a portable electronic device. Mobile technologies gradually integrate into learnedness. Mobile devices and apps are changing the way learners acquires English. This study aims to develop a mobile Apps based on the Keller Plan Personalized system of instruction (PSI) theory called JuJu English Vocabulary to improve learners’ vocabulary acquisition. The mobile Apps was developed using ADDIE instructional design model. The developed Apps was investigated using a quasi-experimental research design among 60 students separated into two(2) groups: control and experimental groups. Data were analysed using SPSS software. The outcome shows a significant difference between Post-test experimental (using the mobile app) and the control group (traditional learning). This Mobile Apps design allows personalised growth among the experimental group of students in terms of their vocabulary acquisition. The design mimicking a game strategy did help increase their interest to enjoy the learning process.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/27227</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/27227/10411</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45874">
                <text>Copyright (c) 2021 Norah Md Noor, Rooban Arumugam</text>
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              <elementText elementTextId="45875">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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            <elementTextContainer>
              <elementText elementTextId="45876">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 4-17</text>
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              <elementText elementTextId="45877">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>English Vocabulary</text>
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              <elementText elementTextId="45879">
                <text>Mobile Apps</text>
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                <text>Mobile Learning</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Mobile Apps Based on Keller Personalized System of Instruction to Promote English Vocabulary Acquisition</text>
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            <name>Type</name>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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          <element elementId="39">
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              <elementText elementTextId="32499">
                <text>Effendy, Faried</text>
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                <text>Kartono, Kartono</text>
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                <text>Herawatie, Dyah</text>
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                <text> This research aims to build a boarding house recommender system based on the Fuzzy TOPSIS method. This application can be utilized by the student community to discover a suitable boarding house. This research uses the classic life cycle (waterfall) as a software development model. The waterfall model consists of 5 stages, namely, communication, planning, modeling, construction, and deployment. In this study, we focus on the construction and deployment stage.To test and assess the system, we use a questionnaire filled by the respondents. Two arrangements of surveys created, one for the students and another for mobile application experts. We use ISO 9126 as a base to assess the system in terms of functionality, usability, content, reliability, and performance. As a result, these mobile apps graded 3.54 and categorized as an excellent system. This system is well-honorable and acknowledged by the student community, which gives a superior, simple method for promoting and reliable tool for finding appropriate boarding houses. The users recommend adding some features such as boarding communities, ratings, reviews so users can communicate with each other and increase the effectiveness and functionality of the application.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/11574</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/11574/7381</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32510">
                <text>Copyright (c) 2020 Faried Effendy, Kartono Kartono, Dyah Herawati</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 11 (2020); pp. 32-47</text>
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                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>Boarding house</text>
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                <text>recommendation</text>
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                <text>fuzzy TOPSIS</text>
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                <text>Mobile Apps for Boarding House Recommendation</text>
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