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                <text>4.0 industrial revolution gives opportunity for education through learning technology. Mobile learning is the use of technology in the learning process using tablets, PCs or smartphones. Technological development in education is the use of Android which is a medium for mobile learning that is more flexible. Online based mobile learning provides opportunities for students to study anytime and anywhere. This study aims to determine the effectiveness of the use of electronic guide books and electronic-based assessment in a basic physics practicum with reflectance material on a flat mirror. The study involved 65 physics education students with 35 students in the experimental class and 30 students in the control class. This research is true experimental research with the post-test end-experimental control group design. Based on the evaluation, in very good category at the communication’s indicator and classification’s indicator for experimental class, and in very good category at the compiles the data table’s indicator, for control class.</text>
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                <text>Copyright (c) 2019 Astalini Astalini, Darmaji Darmaji, Wawan Kurniawan, Khairul Anwar, Dwi Agus Kurniawan</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 09 (2019); pp. 21-39</text>
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                <text>1865-7923</text>
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                <text>Effectivenes of Using E-Module and E-Assessment</text>
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                <text>Puritat, Kitti</text>
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                <text>Crowdsourcing in smart cities has rapidly grown with the buildup of the internet of things which has enabled citizens who are similarity thinking in the society to become increasingly connected with one another delivering information to the government in order to plan the city. This article proposes a gamified crowdsourcing framework for smart governments to solve urban problems. It could help government officers to organize the deliveries regarding the city’s characteristics. We applied game elements from the Gamification Concept in a mobile application in order to engage the citizens in our framework. We evaluated the framework for 2 months which had 548 citizens according to system data. According to our crowd sourcing project the most important issues that Chiang Mai is facing are pollution and traffic jams.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/10989/6253</text>
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                <text>Copyright (c) 2019 kitti puritat</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 12 (2019); pp. 55-66</text>
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                <text>1865-7923</text>
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                <text>Gamification</text>
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                <text>A Gamified Mobile-Based Approach with Web Monitoring for a Crowdsourcing Framework Designed for Urban Problems Related Smart Government: A Case Study of Chiang Mai, Thailand</text>
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                <text>Lestari, Ika</text>
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                <text>Maksum, Arifin</text>
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                <text>Kustandi, Cecep</text>
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                <text>In facing the industrial era 4.0, the instructional paradigm requires the involvement of technology in it. The use of technology in instructional is sometimes regarded as a medium or tool for delivering information through technology from lecturers to students without considering the learning process of students with technology that makes learning outcomes more meaningful. Meanwhile, instructional media such as mobile learning applications through Android is a type of mobile learning that can change the way students communicate and interact. The use of mobile learning applications through Android is adjusted to the characteristics of students and learning needs in the industrial era 4.0. This study resulted in an Android-based mobile learning application so that through product effectiveness, the concept of the conceptual model of mobile learning was obtained in the industrial era 4.0 for learning in college. The research method used is the development research of William W. Lee and Diana L. Owens. The results showed that the mobile learning application influenced student academic achievement so that the conceptual model of mobile learning was obtained in the industrial era 4.0 for learning in college. This study concludes that mobile learning applications encourage students in fun learning activities and place students as the main subject in learning, so learning becomes meaningful.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/10987</text>
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                <text>Copyright (c) 2019 Ika Lestari, Arifin Maksum</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 09 (2019); pp. 152-171</text>
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                <text>1865-7923</text>
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                <text>mobile learning</text>
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                <text>Mobile Learning Design Models for State University of Jakarta, Indonesia</text>
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              <elementText elementTextId="30846">
                <text>Widyasari, Widyasari</text>
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                <text>Sutopo, Hadi</text>
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                <text>Agustian, Murniati</text>
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                <text>Mathematics in elementary school is difficult to understand, boring, formal, theoretical, and book-based learning, which makes students tired of listening and paying attention. The purpose of this study is to create a learning prototype based on QR codes, especially mathematics learning in elementary schools. Using the QR code, students can access math games related to the course. This learning model could encourage students to learn mathematics. The research included seven steps in research and development named after Borg &amp;amp; Gall, such as need assessment, plan, early product development, first test, revise early product, field test and revise product. The object of the research is QR code-based learning, and the respondents are elementary school students and teachers. After analyzing data in the first and field test, researchers found the result. QR code-based learning could support children for learning mathematics.</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="30857">
                <text>Copyright (c) 2019 Widyasari Widyasari, Hadi Sutopo, Murniati Agustian</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 11 (2019); pp. 111-124</text>
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                <text>1865-7923</text>
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                <text>Darmaji, Darmaji</text>
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                <text>Kurniawan, Dwi Agus</text>
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                <text>Astalini, Astalini</text>
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                <text>Samosir, Sofia Christine</text>
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                <text>Mobile learning is the use of technology in the learning process using tablets, PCs or smartphones. Online based mobile learning provides opportunities for students to study anytime and anywhere. The use of a website as a learning media gives users broad access without downloading additional applications that are burdensome to the device. Therefore, the perception of physics education students is needed on the use of mobile learning in basic physics practicum II at Universitas Jambi. This study aims to introduce new learning media that are more effective and flexible in the 4.0 digital era. Based on the results of the study, the perceptions of physics education study program students are in a good category with an average of 74.01 and a median of 75.00 and a mode of 75.00. Distribution of perception scores of physics education students has a minimum value of 52.00 and a maximum value of 91.00</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/10948</text>
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                <text>10.3991/ijim.v13i09.10948</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="30833">
                <text>eng</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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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/10948/5887</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="30836">
                <text>Copyright (c) 2019 Darmaji Darmaji, Dwi Agus Kurniawan, Astalini Astalini, Artha Lumbantoruan, Sofia Christine Samosir</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="30837">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 09 (2019); pp. 4-20</text>
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              <elementText elementTextId="30838">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="30839">
                <text>Science Process Skills</text>
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              <elementText elementTextId="30840">
                <text>M-Practicum Guidebooks</text>
              </elementText>
              <elementText elementTextId="30841">
                <text>M-asessment</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="30842">
                <text>Mobile Learning in Higher Education for The Industrial Revolution 4.0: Perception and Response of Physics Practicum</text>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <description>Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing.</description>
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          <element elementId="39">
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="30801">
                <text>Nosseir, Ann</text>
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              <elementText elementTextId="30802">
                <text>Fathy, Yahia</text>
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              <elementText elementTextId="30803">
                <text>2020-02-10</text>
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                <text>Identifying students at risk or potentials excellent students is increasingly important for higher education institutions to meet the needs of the students and develop efficient learning strategy. Early stage prediction can give an indication of the students’ performance during their study years. This helps tailoring an appropriate learning strategy for different groups.This work develops a novel framework for a mobile app to predict the students’ performance before starting the Universities’ education. The framework is built on a University’s students data from year 2009-2017. It has three main components, namely, a neural network model that predicts the GPA, a mobile App that tests basic knowledge in different domains, and a fuzzy model that estimates the future students’ performance. </text>
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              <elementText elementTextId="30805">
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                <text>https://online-journals.org/index.php/i-jim/article/view/10940</text>
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                <text>10.3991/ijim.v14i02.10940</text>
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            <description>A language of the resource</description>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="30809">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>A related resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/10940/6445</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="30811">
                <text>Copyright (c) 2020 Ann Nosseir, Yahia Fathy</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="30812">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 02 (2020); pp. 4-18</text>
              </elementText>
              <elementText elementTextId="30813">
                <text>1865-7923</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="30814">
                <text>A mobile App</text>
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              <elementText elementTextId="30815">
                <text>Predictive systems</text>
              </elementText>
              <elementText elementTextId="30816">
                <text>Fuzzy algorithm</text>
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                <text>Neural Network</text>
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              <elementText elementTextId="30818">
                <text>Peda-gogy</text>
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            <name>Title</name>
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              <elementText elementTextId="30819">
                <text>A Mobile Application for Early Prediction of Student Performance Using Fuzzy Logic and Artificial Neural Networks</text>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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            <name>Creator</name>
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              <elementText elementTextId="30774">
                <text>Kongsoontornkijkul, Kritika</text>
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              <elementText elementTextId="30775">
                <text>Pichyangkura, Rath</text>
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              <elementText elementTextId="30776">
                <text>Vadhanasindhu, Pakpachong</text>
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                <text>Vanichbuncha, Kanlaya</text>
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            <name>Date</name>
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              <elementText elementTextId="30778">
                <text>2019-11-15</text>
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                <text>Empirical research methods were used to study the Thailand Talent Mobility Programme and critical factors effecting participation in the project; from the perspectives of academic researchers in Science, Technology, and Innovation, in order to strengthen the competitiveness of technological innovation in Thailand. On the basis of questionnaire surveys of 58 universities and 17 research institutes, 613 academic researchers across the country responded the survey. All responses were analyzed through factor analysis and regression analysis methods. We conducted a thorough study of the impact of all factors to successful programme participation. This research study also identifies recommendations and solutions for successful personnel sharing models in Thailand. A mobile web for innovative university assessment system is also introduced as a supporting tool.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="30782">
                <text>10.3991/ijim.v13i11.10924</text>
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              <elementText elementTextId="30784">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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              <elementText elementTextId="30785">
                <text>https://online-journals.org/index.php/i-jim/article/view/10924/6011</text>
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          </element>
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            <elementTextContainer>
              <elementText elementTextId="30786">
                <text>Copyright (c) 2019 Kritika Kongsoontornkijkul, Rath Pichyangkura, Pakpachong Vadhanasindhu, Kanlaya Vanichbuncha</text>
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              <elementText elementTextId="30787">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 11 (2019); pp. 34-50</text>
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              <elementText elementTextId="30788">
                <text>1865-7923</text>
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              <elementText elementTextId="30789">
                <text>University-Industry Linkage (UIL)</text>
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                <text>Knowledge Management (KM)</text>
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              <elementText elementTextId="30791">
                <text>University-Industry Collaboration (UIC)</text>
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              <elementText elementTextId="30792">
                <text>Talent Mobility (TM)</text>
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              <elementText elementTextId="30793">
                <text>National Research Univer-sity (NRU)</text>
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                <text>Personnel Sharing Model</text>
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                <text>University Assessment System</text>
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                <text>Mobile Web</text>
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                <text>Developing A Mobile Web for Innovative University Assessment System: Thailand Talent Mobility Programme</text>
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                <text>Belangour, Abdessamad</text>
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                <text>In Web 3.0, semantic data gives machines the ability to understand and process data. Resource Description Framework (RDF) is the liagna franca of Semantic Web. While Big Data handles the problematic of storing and processing massive data, it still does not provide a support for RDF data. In this paper, we present a new Big Data semantic web comprised of a classical Big Data system with a semantic layer. As a proof of concept of our approach, we use Mobile-learning as a case study. The architecture we propose is composed of two main parts: a knowledge server and an adaptation model. The knowledge server allows trainers and business experts to represent their expertise using business rules and ontology to ensure heterogeneous knowledge. Then, in a mobility environment, the knowledge server makes it possible to take into account the constraints of the environment and the user constraints thanks to the RDF exchange format. The adaptation model based on RDF graphs corresponds to combinatorial optimization algorithms, whose objective is to propose to the learner a relevant combination of Learning Object based on its contextual constraints. Our solution guarantees scalability, and high data availability through the use of the principle of replication. The results obtained in the system evaluation experiments, on a large number of servers show the efficiency, scalability, and robustness of our system if the amount of data processed is very large.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/10922</text>
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                <text>Copyright (c) 2020 mouad banane, abdessamad belangour</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>1865-7923</text>
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            <name>Subject</name>
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                <text>Mobile Learning</text>
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                <text>Semantic Web</text>
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                <text>e-learning</text>
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                <text>Big Data</text>
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                <text>RDF</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>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Maggay, Jake Guabes</text>
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                <text>The objective of the study is to evaluate the usability of SMS-Based Auto-Reply Inquiry System for Grades and Accounts. This descriptive study used a three-part questionnaire which was administered by the researcher. The usability questionnaire adapted from the USE Questionnaire used a 5-point scale composed of 30 statements. Convenience sampling was used choosing the respondents from the total population of 149 students of the CICS during the second semester of school year 2018-2019. A total of 45 questionnaires were retrieved and were used in the usability analysis. The usability evaluation results yielded a grand mean of 4.54 (Strongly Agree) showing that the SMS-based inquiry system is easy to learn, easy to use, useful, and satisfying. The results of this study show that pre-coded keywords are confusing for beginners but can be learned and familiarized by the users as they continue use the system. Further investigation should be conducted to prove that ease of use, ease of learning, and usefulness have direct impacts to user satisfaction.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/10918</text>
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                <text>10.3991/ijim.v13i09.10918</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/10918/5894</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="30740">
                <text>Copyright (c) 2019 Jake Guabes Maggay</text>
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              <elementText elementTextId="30741">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 09 (2019); pp. 113-125</text>
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              <elementText elementTextId="30742">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>auto-reply system</text>
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                <text>SMS-based system</text>
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                <text>system performance</text>
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                <text>usability</text>
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                <text>USE questionnaire</text>
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                <text>Usability Evaluation of SMS-Based System: Basis for Systems Development</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="30706">
                <text>Rusli, Rusreena</text>
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                <text>Hashim, Harwati</text>
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                <text>Md Yunus, Melor</text>
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                <text>Zakaria, Nur Yasmin Khairani</text>
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                <text>Norman, Helmi</text>
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                <text>2019-11-15</text>
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                <text>Advances of technology and innovation suggest new form and paths in language teaching. Social media use can be a great influence for English as a Second Language (ESL) students especially in writing competency. Despite of many positive reports that presented affordances in social media use, however, there are insufficient studies that investigate ESL trainee teachers’ perception on this matter. Therefore, this study aimed to investigate ESL pre-service teachers’ views upon leveraging the use of social media in teaching of writing focusing on the opportunities and challenges. This study employed qualitative methods where thirty-four ESL pre-service teachers from a public university were involved. Based on the findings, it can be concluded that ESL pre-service teachers perceived the use of social media in teaching writing can be of beneficial and similarly challenging. Opportunities stated by the participants include enhancement in collaborative learning, supporting students’ self-directed learning and simplify the teaching and learning processes. On the other hand, the challenges mentioned by the participants are that social media can be a source of distraction, deterioration in language and plagiarism. Thus, it is advisable that teachers play their roles responsibly in managing students’ activities online and also be equipped with technology skills to enhance the establishments of social media in ESL teaching of writing.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/10910</text>
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                <text>10.3991/ijim.v13i11.10910</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/10910/6017</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="30719">
                <text>Copyright (c) 2019 Rusreena Rusli, Harwati Hashim, Melor Md Yunus, Nur Yasmin Khairani Zakaria, Helmi Norman</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 11 (2019); pp. 85-94</text>
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              <elementText elementTextId="30721">
                <text>1865-7923</text>
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                <text>challenges</text>
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                <text>opportunities</text>
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                <text>social media</text>
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                <text>teaching of writing</text>
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                <text>TESL pre-service teachers</text>
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                <text>Leveraging the Use of Social Media in Teaching Writing: A Qualitative Investigation among ESL Pre-Service Teachers</text>
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