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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Tanu Wijaya, Tommy</text>
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                <text>Hermita, Neni</text>
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                <text>Alim, Jesi Alexander</text>
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                <text>In the 21st century, a teacher must be able to make teaching and learning activities conductive, fun That can improve students’ learning interest. Fibonacci sequence material is one of the materials that is difficult for Junior High school students to master. Based on this problem, the focus of this research is to create video learning on Fibonacci sequence material using Hawgent. This research is developed in Guangxi Normal University, China. This research is a research and development (RnD) using 4D model. 4D model consists of Defining, Design, Development, Dissemination. Video learning is made using interesting animations that are easy for students to understand. The results of this study indicate that the video learning has passed validation and can be sent to schools to help students understand Fibonacci sequence</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/23097/9333</text>
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                <text>Copyright (c) 2021 Tommy Tanu Wijaya, Neni Hermita, Zetra Hainul Putra, Jesi Alexander Alim, Li Li</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 11 (2021); pp. 183-191</text>
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                <text>1865-7923</text>
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                <text>Fibonacci</text>
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                <text>Junior High School student</text>
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                <text>Helping Junior High School Student to Learn Fibonacci Sequence with Video-Based Learning</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Kurni, Muralidhar</text>
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                <text>K, Saritha</text>
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                <text>Battery energy is a crucial issue that limits battery-powered mobile devices’ operational efficiency in Mobile Ad hoc Networks (MANETs). Failure of a node affects both the lifetime and connectivity of a MANET, which has to initiate finding a new route from source to destination. This initiation causes more energy consumption in nodes. Failure of a node also causes network partitions, thereby resulting in sparse networks being formed. Existing energy-efficient strategies only defer the end of a node’s battery lifetime; they could not guarantee the MANET’s nonstop functioning. To address the issues caused by battery depletion, this paper proposes a “Cloud” oriented approach called Power-as-a-Service (PaaS), a hierarchical on-demand charging model for recharging the mobile nodes of the MANET. In PaaS, the MANET is alienated into non-overlapping disjoint zones, and for each zone, one Zone Charging Cloud Node (ZccN) is deployed to recharge the mobile nodes of that particular zone wirelessly. A High-power Charging Cloud Node (HccN) is deployed to wirelessly recharge the ZccNs in the MANET for the entire network. In PaaS, the ZccN recharges both the selected node for recharge and other nodes around the selected node that requested recharge and has higher power transfer efficiency. This strategy of PaaS improves the charging efficiency of cloud chargers by minimizing the urgent charging requests in the future, and thus the operational efficiency of the MANET improves. Extensive simulations indicate that the proposed PaaS model with a hierarchy of cloud chargers improves the operational efficiency of MANETs in terms of reducing the death rate of mobile nodes, thereby improving the lifetime and connectivity probability of MANETs.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/23081</text>
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                <text>10.3991/ijim.v15i12.23081</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/23081/9431</text>
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              <elementText elementTextId="42986">
                <text>Copyright (c) 2021 Muralidhar Kurni, Saritha K</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 12 (2021); pp. 170-183</text>
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              <elementText elementTextId="42988">
                <text>1865-7923</text>
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                <text>Cloud-oriented approach</text>
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                <text>connectivity</text>
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                <text>Mobile Ad Hoc Networks</text>
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                <text>network lifetime</text>
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                <text>operational efficiency</text>
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                <text>Power-as-a-Service</text>
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                <text>‘Power-as-a-Service’ – A Hierarchical On-Demand Charging Model for Recharging the Mobile Nodes of MANETs</text>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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            <name>Creator</name>
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              <elementText elementTextId="42955">
                <text>Narayandas, Vikram</text>
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                <text>Maruthavanan, Archana</text>
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              <elementText elementTextId="42957">
                <text>D, Raman</text>
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                <text>2021-07-13</text>
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                <text>Merging of MANET with IOT utilized in inevitable knowledge situations opens new possibility in checking and makes another communication stage for various applications in Internet of Things (IoT). Sensors utilized for IoT applications, sense nature and send the data to the gateway hub, which then send the congregated information to the MANET hub, particularly used for information gathering. MANET plays a key function, which is used as the foundation of the IoT arrange. Because of its intrinsic properties, the MANET hubs can assemble unconstrained associations with different hubs without the need of any base. MANET hubs can turn over the IoT procedure and accumulate information from the sensors and or any fixed Radiocommunication nodes. MANET cores can be utilized as key advances in a few applications in IoT. Because of the idea of self-designing, MANET hubs just as the sensor hubs can be sent in huge possibility. In this paper we have taken a survey of MANET and IOT various applications in running era and corelating various computing techniques like cloud, fog and edge with MANET and IOT. This examination is an improvement and usage of existing versatile specially selected procedure communication exploiting the in the structure of the IoT.</text>
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                <text>application/pdf</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/23045</text>
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              <elementText elementTextId="42962">
                <text>10.3991/ijim.v15i13.23045</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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              <elementText elementTextId="42965">
                <text>https://online-journals.org/index.php/i-jim/article/view/23045/9541</text>
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              <elementText elementTextId="42966">
                <text>Copyright (c) 2021 VIKRAM NARAYANDAS, Archana Maruthavanan, Raman D</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 13 (2021); pp. 80-92</text>
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              <elementText elementTextId="42968">
                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>MANET-IOT</text>
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                <text>Cloud</text>
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                <text>Edge computing</text>
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                <text>The Role of MANET in Collaborating IoT End Devices: A New Era of Smart Communication</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Pinnarong, Rachit</text>
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                <text>Siangpipop, Sorawit</text>
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                <text>Harncharnchai, Atichart</text>
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                <text>Nimmolrat, Acrapol</text>
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                <text>Thinnukool, Orawit</text>
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                <text>Since health-related information for pregnant women is extremely complex and sensitive, end-users of any application are required to have the same level of knowledge as the information providers to help them to navigate between various sources of information to ascertain the reliability of contents that are often confusing. However, although there are several such applications for Thai pregnant women in the market, few were developed based on research evidence. This study is focused on the design of a health application specifically for Thai pregnant women by extracting the explicit problems of existing applications and providing solutions to them. A design thinking methodology comprised of empathise, define, ideate, prototype and test was used as a guideline to develop a prototype app. IT experts, physical therapists and pregnant women were recruited as participants to address the problem taxonomy and obtain a solution.The new application produced in this study with the aim of encouraging pregnant women especially for Thai women to engage in physical activity was based on research, and the input of physical therapists, IT experts and pregnant women users was able to feasibly inform the development of an acceptable and usable mobile health application for pregnant women.</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/23033/9539</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42944">
                <text>Copyright (c) 2021 Rachit Pinnarong, Sorawit Siangpipop, Atichart Harncharnchai, Acrapol Nimmolrat, Orawit Thinnukool</text>
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              <elementText elementTextId="42945">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 13 (2021); pp. 57-79</text>
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              <elementText elementTextId="42946">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42947">
                <text>Design thinking</text>
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              <elementText elementTextId="42948">
                <text>graphic user interface</text>
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              <elementText elementTextId="42949">
                <text>application development</text>
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                <text>pregnant</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42951">
                <text>Thai Pregnant Mobile Application: Review and Development Report</text>
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            <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>
              <elementTextContainer>
                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <name>Dataset</name>
      <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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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="42906">
                <text>Khalafat, Monther</text>
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              <elementText elementTextId="42907">
                <text>Alqatawna, Ja'far S.</text>
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              <elementText elementTextId="42908">
                <text>Al-Sayyed, Rizik M. H.</text>
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              <elementText elementTextId="42909">
                <text>Eshtay, Mohammad</text>
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              <elementText elementTextId="42910">
                <text>Kobbaey, Thaeer</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="42911">
                <text>2021-07-28</text>
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            <description>An account of the resource</description>
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                <text>Today, the influence of the social media on different aspects of our lives is increasing, many scholars from various disciplines and majors looking at the social media networks as the ongoing revolution. In Social media networks, many bonds and connections can be established whether being direct or indirect ties. In fact, Social networks are used not only by people but also by companies. People usually create their own profiles and join communities to discuss different common issues that they have interest in. On the other hand, companies also can create their virtual presence on the social media networks to benefit from this media to understand the customers and gather richer information about them. With all of the benefits and advantages of social media networks, they should not always be seen as a safe place for communicating, sharing information and ideas, and establishing virtual communities. These information and ideas could carry with them hatred speeches that must be detected to avoid raising violence. Therefore, web content mining can be used to handle this issue. Web content mining is gaining more concern because of its importance for many businesses and institutions.  Sentiment Analysis (SA) is an important sub-area of web content mining.  The purpose of SA is to determine the overall sentiment attitude of writer towards a specific entity and classify these opinions automatically. There are two main approaches to build systems of sentiment analysis: the machine learning approach and the lexicon-based approach. This research presents the design and implementation for violence detection over social media using machine learning approach. Our system works on Jordanian Arabic dialect instead of Modern Standard Arabic (MSA). The data was collected from two popular social media websites (Facebook, Twitter) and has used native speakers to annotate the data. Moreover, different preprocessing techniques have been used to show their effect on our model accuracy. The Arabic lexicon was used for generating feature vectors and separate them to features set. Here, we have three well known machine learning algorithms: Support Vector Machine (SVM), Naive Bayes (NB) and k-Nearest Neighbors (KNN). Building on this view, Information Science Research Institute’s (ISRI) stemming and stop word file as a result of preprocessing were used to extract the features. Indeed, several features have been extracted; however, using the SVM classifier reveals that unigram and features extracted from lexicon are characterized by the highest accuracy to detect violence.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>application/pdf</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="42914">
                <text>https://online-journals.org/index.php/i-jim/article/view/23029</text>
              </elementText>
              <elementText elementTextId="42915">
                <text>10.3991/ijim.v15i14.23029</text>
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            </elementTextContainer>
          </element>
          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42916">
                <text>eng</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="42917">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
              </elementText>
            </elementTextContainer>
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            <name>Relation</name>
            <description>A related resource</description>
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              <elementText elementTextId="42918">
                <text>https://online-journals.org/index.php/i-jim/article/view/23029/9603</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42919">
                <text>Copyright (c) 2021 Monther Khalafat, Rizik M. H. Al-Sayyed, Ja'far S. Alqatawna, Mohammad Eshtay, Thaeer Kobbaey</text>
              </elementText>
            </elementTextContainer>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="42920">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 14 (2021); pp. 90-110</text>
              </elementText>
              <elementText elementTextId="42921">
                <text>1865-7923</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42922">
                <text>Violence Detection</text>
              </elementText>
              <elementText elementTextId="42923">
                <text>Social Networks</text>
              </elementText>
              <elementText elementTextId="42924">
                <text>Sentiment Analysis</text>
              </elementText>
              <elementText elementTextId="42925">
                <text>Arabic Lexicon</text>
              </elementText>
              <elementText elementTextId="42926">
                <text>Feature Extraction</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42927">
                <text>Violence Detection over Online Social Networks: An Arabic Sentiment Analysis Approach</text>
              </elementText>
            </elementTextContainer>
          </element>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="42929">
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                <text>Peer-reviewed Article</text>
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
                </elementText>
              </elementTextContainer>
            </element>
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      </elementSetContainer>
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    <itemType itemTypeId="14">
      <name>Dataset</name>
      <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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      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42882">
                <text>Panfilova, Elena</text>
              </elementText>
              <elementText elementTextId="42883">
                <text>Lukyanova, Anna</text>
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              <elementText elementTextId="42884">
                <text>Pronkin, Nikolay</text>
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              <elementText elementTextId="42885">
                <text>Zatsarinnaya, Еlena</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42886">
                <text>2021-11-09</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="42887">
                <text>Due to the expansion of new digital trends in the strategic development of territorial units, it became necessary to structure the socio-economic effects from the introduction of innovative technologies grounded on cloud computing. Realized the identification of cloud technologies impact on the social life in the era of digitalization, an online conference was held between representatives of government, business, science, and education of the Republics of Karelia, Komi, Adygea, Dagestan, Ingushetia, Kalmykia, Karachay-Cherkessia, Krasnodar Krai and Stavropol Krai (Russian Federation). In the context of innovative possibilities of platform economy, in discussion were identified the key effects of the cloud solutions implementation in the Russian Federation regions development prospect strategy. Namely, development of social and human capital, improvement of the quality and standard of living in a region, improvement of social interaction, development of social constructivism, economic potential, and competitiveness of social capital. It has been reported that the positive social effects of cloud technologies at the level of a territorial unit are achieved by increasing digital literacy of the population and opening up new opportunities and platforms for social interaction and constructivism; providing the population with convenient services and open data for participation in active social, economic and political life. Cloud technologies help to form a digital educational environment, modernize educational programs for the preparation of high-quality labor resources, develop digital infrastructure of individual settlements, create user content to preserve socio-cultural identity, and popularize a region in the global information space. Revealed that the possibilities of cloud technologies increase the population quality of living and ensure the growth of the efficiency and productivity indicators of labor resources. The listed above are achieved by expanding the marketing capabilities of business structures, providing them with new business models and digital services; optimization of resource management, digitization of business processes, and platform organization of labor. The capabilities of cloud solutions allow for the formation of flexible and effective interregional and international cooperation in a region, having a positive impact on regional economy and social capital development.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>application/pdf</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22985</text>
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                <text>10.3991/ijim.v15i21.22985</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <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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            </elementTextContainer>
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            <description>A related resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22985/10183</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42894">
                <text>Copyright (c) 2021 Elena Panfilova, Anna Lukyanova, Nikolay Pronkin, Еlena Zatsarinnaya</text>
              </elementText>
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              <elementText elementTextId="42895">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 21 (2021); pp. 144-157</text>
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              <elementText elementTextId="42896">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42897">
                <text>cloud computing technologies</text>
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              <elementText elementTextId="42898">
                <text>digital trends</text>
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              <elementText elementTextId="42899">
                <text>digitalization</text>
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                <text>regional development</text>
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                <text>socio-economic effects</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Assessment of the Impact of Cloud Technologies on Social Life in the Era of Digitalization</text>
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            <description>The nature or genre of the resource</description>
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            <element elementId="50">
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              <description>A name given to the resource</description>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
                </elementText>
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      <name>Dataset</name>
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          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Tikito, Iman</text>
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                <text>Souissi, Nissrine</text>
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            <description>An account of the resource</description>
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                <text>Data collection is one of the first and main phases of the data life cycle. It enables improvements to be made across all phases of the data lifecycle. In this sense, we have proposed a data collection process qualified as Smart. For our smart data collection process, we have adopted the principles of the smart data approach allowing less data to be transmitted to the analysis and storage processes, while maintaining better data quality. In addition, we also used Edge computing since it provides services with faster response and better quality, compared to cloud computing. To experiment this process on mobile data, we propose to extend a mobile data collection software solution and adopt one of the key data collection methods. In this paper, we tested our smart data collection process via the ODK-X software suite and were able to identify the added value of our process compared to the one used by default during collection.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22945</text>
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                <text>10.3991/ijim.v15i13.22945</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="42867">
                <text>eng</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="42868">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2021 Iman Tikito, Nissrine Souissi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 13 (2021); pp. 28-42</text>
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                <text>1865-7923</text>
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                <text>Smart Collect</text>
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                <text>ODK-X: From A Classic Process To A Smart Data Collection Process</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Dolzhich, Elena</text>
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                <text>Dmitrichenkova, Svetlana</text>
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                <text>Ibrahim, Mona Kamal</text>
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                <text>The higher education system around the world is being rapidly developed towards digitalization – from computers to laptops, from laptops to tablets and smartphones. Accordingly, traditional delivery of instruction is being shifted towards blended learning that is being gradually replaced with distance learning, i.e. higher education is moving forward with mobile learning (m-learning) technologies. The introduction of mobile learning became the most topical event in 2020 in the context of the COVID-19 pandemic, due to which many countries had to completely move to distance learning in higher education. The purpose of the study is to analyze the prospects for the widespread use of mobile applications in teaching English as a foreign language (EFL) in Russia to Russian and Arab learners. In the course of the study, an online survey based on a questionnaire consisting of four open and closed questions was conducted. An empirical method was applied to collect the research data.  The survey was conducted at the Department of Foreign Languages of the Engineering Academy of the Peoples' Friendship University of Russia (EA PFUR). The total research sample included 200 participants and consisted of: 50 potential employers, 50 Russian and Arab students of the Peoples' Friendship University of Russia studying Linguistics (training program code 035700), 50 faculty members, namely teachers of the Peoples' Friendship University of Russia, the Institute of Foreign Languages of the Moscow State Pedagogical University and the Moscow Institute of Physics and Technology, as well as 50 administrative staff of the Peoples' Friendship University of Russia. The purpose of the survey was to collect information about the use of mobile applications (Smartphone Apps) and the introduction of mobile learning technology (m-learning) in the process of teaching EFL to students. According to the results of the survey, instructors are actively using mobile technologies in their professional activities and all participants in the learning process are receptive to their introduction in education. At the same time, respondents believe that technical challenges are the major obstacle to the adoption of mobile applications; these problems must be overcome in order to enable more productive use of mobile applications. In this regard, the study of mobile applications that are suitable for specific aspects of learning a foreign language, such as spoken language, reading comprehension, listening or writing, can be considered a promising research area.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22895/9653</text>
              </elementText>
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                <text>Copyright (c) 2021 Elena Dolzhich, Svetlana Dmitrichenkova, Mona Kamal Ibrahim</text>
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              <elementText elementTextId="42847">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 15 (2021); pp. 20-34</text>
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              <elementText elementTextId="42848">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="42849">
                <text>Foreign Languages</text>
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              <elementText elementTextId="42850">
                <text>English as a Foreign Language (EFL)</text>
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              <elementText elementTextId="42851">
                <text>Graduate Education</text>
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                <text>Mobile Assisted Language Learning (MALL)</text>
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                <text>MALL technology</text>
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                <text>Mobile Learning (m-learning)</text>
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                <text>Using M-Learning Technology in Teaching Foreign Languages: A Panacea during COVID-19 Pandemic Era</text>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Taleb, Aya</text>
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                <text>Al-Sayyed, Rizik M. H.</text>
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                <text>Al-Bdour, Hamed S.</text>
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                <text>2021-06-18</text>
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                <text>In this research, a new technique to improve the accuracy of the link prediction for most of the networks is proposed; it is based on the prediction ensemble approach using the voting merging technique. The new proposed ensemble called Jaccard, Katz, and Random models Wrapper (JKRW), it scales up the prediction accuracy and provides better predictions for different sizes of populations including small, medium, and large data. The proposed model has been tested and evaluated based on the area under curve (AUC) and accuracy (ACC) measures. These measures applied to the other models used in this study that has been built based on the Jaccard Coefficient, Katz, Adamic/Adar, and Preferential attachment. Results from applying the evaluation matrices verify the improvement of JKRW effectiveness and stability in comparison to the other tested models.  The results from applying the Wilcoxon signed-rank method (one of the non-parametric paired tests) indicate that JKRW has significant differences compared to the other models in the different populations at 0.95 confident interval.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22831</text>
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                <text>10.3991/ijim.v15i12.22831</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/22831/9425</text>
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            <description>Information about rights held in and over the resource</description>
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                <text>Copyright (c) 2021 Aya Taleb, Rizik M. H. Al-Sayyed, Hamed S. Al-Bdour</text>
              </elementText>
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              <elementText elementTextId="42823">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 12 (2021); pp. 125-139</text>
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              <elementText elementTextId="42824">
                <text>1865-7923</text>
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                <text>Link Prediction</text>
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                <text>Network Analysis</text>
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                <text>Ensemble</text>
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                <text>Machine Learning</text>
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                <text>Graph Analy-sis</text>
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                <text>Voting Techniques</text>
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                <text>JKRW Link Prediction – A New Ensemble Technique Based on Merging Other Known Techniques in The Social Network Analysis</text>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Agyei, Elizabeth Darko</text>
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              <elementText elementTextId="42790">
                <text>Agyei, Douglas Darko</text>
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                <text>This research reports on the design aspect of a bigger project which sought to design and implement information and communication technology (ICT)-based interventions for the purpose of developing pre-service teachers’ ICT competency for teaching physics in an interactive manner using a three-stage (design stage, implementation and evaluation stage, and documentation and reflection stage) design-based research approach. Using literature as a lens, this research examines the interventions that we designed in the first stage of the project with the intent to determine its features that promote interactive teaching and fit the Ghanaian senior high school physics classroom context. Findings show that the intervention with inherent features comprising of: a readily available, sustainable, context- and content-specific ICT teaching and learning environment; an ICT-oriented knowledge base for teachers’ uptake of ICT; an underlining framework for defining interactive and learner-centred teaching approach with ICT; ICT-driven interactive lesson objectives; an inquiry-driven, activity- and ICT-based learning material; and a collaborative classroom arrangement is appropriate and sensitive to the needs of the Ghanaian physics classroom context and, hence, possess the potential for promoting interactive teaching. The features of the interventions, as situated in the specific context of the research and implications of the findings are discussed. </text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22735</text>
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                <text>10.3991/ijim.v15i19.22735</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/22735/10043</text>
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              <elementText elementTextId="42799">
                <text>Copyright (c) 2021 Elizabeth Darko Agyei, Douglas Darko Agyei</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 19 (2021); pp. 93-117</text>
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                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>high school</text>
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                <text>ICT-based intervention</text>
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                <text>interactive teaching</text>
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                <text>Promoting Interactive Teaching with ICT: Features of Intervention for the Realities in the Ghanaian Physics Senior High School Classroom</text>
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