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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Leon-Ayala, Ricardo</text>
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                <text>Tooth decay is a problem that occurs in every person. However, children are the most vulnerable due to their diet, the consumption of foods high in sugar and poor oral hygiene. Due to this problem, the design of a mobile application was developed with the objective of preventing tooth decay in children, encouraging good oral hygiene habits in children. The mobile application basically teaches the child with the help of 3D modeling the correct way to brush his or her teeth. In addition, of using the smartphone camera to capture a photograph of the teeth. In this way it performs the analysis applying artificial intelligence to diagnose if the patient presents symptoms of caries. Also, creates a dependency of the child on the application each time he/she brushes correctly. The application provides bonuses for progressing and unlocking new interactive features; this way, attention is captured and a good habit is maintained. The agile Scrum methodology was used because it presents an orderly structure and allows adaptability. Also, offers a wide variety of graphical tools and strategies capable of displaying information in a structured way.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/33967</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/33967/12249</text>
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                <text>Copyright (c) 2022 Ricardo Leon-Ayala, Laberiano Andrade-Arenas</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 183-200</text>
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                <text>1865-7923</text>
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                <text>Caries</text>
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                <text>scrum methodology</text>
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                <text>Mobile Application Design: Caries Health Care for Children</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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            <name>Creator</name>
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                <text>Polnigongit, Weerapong</text>
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                <text>Chanwimalueng, Waiwit</text>
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                <text>Fitzgerald, Sandey</text>
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                <text>Although mobile phone application developers aim to design software to be user-friendly, elderly users report having problems with flexible user interfaces. The purpose of this study was to examine a range of flexible user interface designs for mobile phones with the aim of locating and addressing the limitations reported by elderly users. Accordingly, a fuzzy model drawing on a range of variables was developed from an age/vision impaired related data set for the development of a variety of basic design elements for user interfaces. The model was tested to assess the preciseness and accuracy of its functions, achieving a Mean Absolute Error (MAE) close to 0 and an Effectiveness Index (EI) close to 1, giving the model a high value for effectiveness. A subsequent usability test of the generated design interfaces using four types of mobile phones (18 screens in all) was conducted among 25 elderly users with vision impairment. &amp;nbsp;The findings showed that the size and shape of both numeric and function buttons was a significant factor in assessing phone usability both for communication and for social media use, as was text and number size, although, significantly, the latter was qualified by screen size. Recommended numeric and dial function button sizes are 15.6mm and 16.2 mm, respectively. Likewise, recommended text and numbers sizes are 14 and 25 points, respectively. Furthermore, square-shaped buttons with rounded-edge buttons are the most suitable for elderly users, as is a background in a light shade, with texts and icons in dark colors. The model demonstrates that it is possible to design user interfaces with particular groups in mind such as the elderly and vision-impaired, in order to enhance mobile phone usability for these groups.</text>
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              <elementText elementTextId="51173">
                <text>https://online-journals.org/index.php/i-jim/article/view/33877</text>
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                <text>10.3991/ijim.v17i02.33877</text>
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            <description>A language of the resource</description>
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                <text>eng</text>
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            <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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              <elementText elementTextId="51177">
                <text>https://online-journals.org/index.php/i-jim/article/view/33877/12623</text>
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              <elementText elementTextId="51178">
                <text>Copyright (c) 2022 Weerapong, Waiwit  Chanwimalueng, Sandey Fitzgerald</text>
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                <text>https://creativecommons.org/licenses/by/4.0</text>
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              <elementText elementTextId="51180">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 02 (2023); pp. 118-136</text>
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              <elementText elementTextId="51181">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="51182">
                <text>Fuzzy model development</text>
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              <elementText elementTextId="51183">
                <text>user interface design</text>
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              <elementText elementTextId="51184">
                <text>mobile phone application</text>
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                <text>elderly mobile phone users</text>
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                <text>usability</text>
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            <name>Title</name>
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                <text>The Development of a Fuzzy Model and Usability Test of a Recommended Interface Design for Mobile Phones for Elderly Users</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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                <text>Boza-Chua, Alejandro</text>
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                <text>Andrade-Arenas, Laberiano</text>
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                <text>2022-10-03</text>
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                <text>Currently in Latin America hearing impairment is one of the main problems of society, especially in Peru, where there is a large percentage of hearing-impaired children without receiving some kind of adequate and viable education for their growth, being the main reason the little support by the government and the lack of technological tools to support inclusive education. For this reason, the present research work is generated, which has as main motive to support and help the benefit of educational inclusion and even better technological development for fundamental problems in society, especially those that affect the educational life. Therefore, the development of a mobile application aimed at educational inclusion for students, whether or not they are hearing impaired, was proposed. Therefore, a form was applied to 40 people, including parents of hearing-impaired students and teachers, in order to collect main requirements. In addition, the cascade methodology was used, being the most appropriate for the development of the mobile application, providing agility of development by having clear and precise requirements. Finally, it was concluded that the mobile application will generate different adequate and viable benefits for an inclusive educational environment for students with hearing impairment, through the development of a form established and directed to 50 people, among them the 40 people of the first form and 10 people specialized in the development and design of mobile applications.</text>
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                <text>application/pdf</text>
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              <elementText elementTextId="51150">
                <text>https://online-journals.org/index.php/i-jim/article/view/33857</text>
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                <text>10.3991/ijim.v16i18.33857</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="51152">
                <text>eng</text>
              </elementText>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="51153">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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          <element elementId="46">
            <name>Relation</name>
            <description>A related resource</description>
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              <elementText elementTextId="51154">
                <text>https://online-journals.org/index.php/i-jim/article/view/33857/12025</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="51155">
                <text>Copyright (c) 2022 Alejandro  Boza-Chua, Laberiano  Andrade-Arenas</text>
              </elementText>
              <elementText elementTextId="51156">
                <text>https://creativecommons.org/licenses/by/4.0</text>
              </elementText>
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          <element elementId="48">
            <name>Source</name>
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            <elementTextContainer>
              <elementText elementTextId="51157">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 18 (2022); pp. 78-93</text>
              </elementText>
              <elementText elementTextId="51158">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="51159">
                <text>cascade methodology</text>
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              <elementText elementTextId="51160">
                <text>hearing impairment</text>
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              <elementText elementTextId="51161">
                <text>mobile application</text>
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              <elementText elementTextId="51162">
                <text>educational inclusion</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="51163">
                <text>Inclusive Education: Mobile App for Students with Hearing  Impairment</text>
              </elementText>
            </elementTextContainer>
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            <description>The nature or genre of the resource</description>
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                <text>Peer-reviewed Article</text>
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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="51119">
                <text>Adenan, Alisa Rafiqah</text>
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                <text>Kassim, Murizah</text>
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              <elementText elementTextId="51121">
                <text>Kamaluddin, Nur Amirah</text>
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                <text>2022-11-15</text>
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                <text>Augmented reality is a ground-breaking technology that allows users to communicate with an enticing real-world experience to receive messages or knowledge. Today, mask inspection is essential to relay information to society through an augmented reality where extensive information about masks is required and identifying them is challenging. Furthermore, with augmented reality, society may have access to the fascinating way of getting information on the masks, assisting in spreading knowledge, particularly during this pandemic. The augmented reality on a visual inspection mask (ARVIM) was created utilizing 3D images on an Android smartphone platform. The models were created using Blender Animation and Unity 3D software. Vuforia Engine and Android Studio applications were used to build a personalized mobile Augmented Reality application. Google Cloud was used to store data that are accessible to users. ARVIM has facilitated teaching and interaction with 3D AR effects enjoyable for users. The analysis results on the use of ARVIM revealed that ARVIM obtained a high easiness rating of 80%. While 83% of respondents say ARVIM can help distinguish between different types of masks, 88% of respondents agreed that ARVIM's design is acceptable and approachable. This initiative enhances society's education in interactive and mixed-reality innovation settings through a long-distance and innovative teaching method that gives a comprehensive Google Platform experience.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="51130">
                <text>Copyright (c) 2022 Alisa Rafiqah Adenan, Murizah Kassim, Nur Amirah Kamaluddin</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 98-113</text>
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              <elementText elementTextId="51133">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="51134">
                <text>Augmented Reality</text>
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                <text>Mobile Apps</text>
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                <text>3D Image</text>
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                <text>Marker Detection</text>
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                <text>Face Mask</text>
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                <text>Blender Animation</text>
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                <text>Unity3D</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
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                <text>The Design of Mobile 3D Augmented Reality on Marker Visual Inspection Mask</text>
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            <name>Type</name>
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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>Creator</name>
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              <elementText elementTextId="51095">
                <text>Holubnycha, Liudmyla</text>
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                <text>Besarab, Tetiana</text>
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                <text>Pavlishcheva, Yana</text>
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                <text>Romaniuk, Svitlana</text>
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                <text>Sytnykova, Yuliia</text>
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                <text>The paper investigates the effectiveness of personal smartphones and other mobile devices for learning English at the tertiary level during hostility in Ukraine. The research methods included 1) general theoretical methods (analysis and synthesis); 2) empirical methods (quasi-experiment, observation, interpretation); 3) methods of mathematical statistics (Pearson’s criterion). The material of the research involved 80 students of the first year of Yaroslav Mudryi National Law University (Kharkiv, Ukraine) during spring semester of 2021/2022 academic year. There were two samples: the experimental group (N = 40) that learned the course of “Legal English” exclusively through mobile devices and the control group (N = 40) that had only traditional forms of learning. The results revealed that academic progress of the students of the experimental group have improved by 15%, while achievements of the students of the control group have deteriorated by 10%. The reliability of the results is confirmed by the methods of mathematical statistics (p-value = 0.25; the significance level was chosen as 0.05). The conclusion is that mobile learning technology, which is able to provide students with access to systematic online training; platforms containing different textbooks and other local and remote educational content; as well as various educational services may become a great teaching and learning tool.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/33793</text>
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              <elementText elementTextId="51106">
                <text>10.3991/ijim.v16i23.33793</text>
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            <description>A language of the resource</description>
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                <text>eng</text>
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            <name>Publisher</name>
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              <elementText elementTextId="51108">
                <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/33793/12429</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="51110">
                <text>Copyright (c) 2022 Liudmyla Holubnycha, PhD. Tetiana Besarab, PhD. Yana Pavlishcheva, PhD. Svitlana Romaniuk , PhD. Tetiana Ahibalova; PhD. Olena Alpatova</text>
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                <text>https://creativecommons.org/licenses/by/4.0</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>
            <elementTextContainer>
              <elementText elementTextId="51112">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 23 (2022); pp. 148-160</text>
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              <elementText elementTextId="51113">
                <text>1865-7923</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="51114">
                <text>mobile learning, University students, warfare, learning English</text>
              </elementText>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="51115">
                <text>The Effectiveness of Mobile Learning Technology at the Tertiary Level During Conflicts</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>
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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">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Benabbes, Khalid</text>
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              <elementText elementTextId="51069">
                <text>Hmedna, Brahim</text>
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                <text>Housni, Khalid</text>
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                <text>Zellou, Ahmed</text>
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                <text>El Mezouary, Ali</text>
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            <description>An account of the resource</description>
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                <text>Learning style is a significant learner-difference factor. Each learner has a preferred learning style and a different way of processing and understanding the novelty. In this paper, a new approach that automatically identify learners learning styles based on their interaction with the Learning Management System (LMS) is introduced. To implement this approach, the traces of 920 enrolled learners in three agronomy courses were exploited using an unsupervised clustering method to group learners according to their degree of engagement. The decision tree classification algorithm relies on the decision rules construction, which is widely adopted to identify the accurate learning style. As missing good decision rules would lead to learning style misclassification, the Felder-Silverman Learning Style Model (FSLSM) is used as it is among the most adopted models in the technology of quality improvement process. The results of this research highlight that most learners prefer the global learning style.</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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                <text>https://online-journals.org/index.php/i-jim/article/view/33733</text>
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              <elementText elementTextId="51077">
                <text>10.3991/ijim.v16i19.33733</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="51078">
                <text>eng</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="51079">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>A related resource</description>
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              <elementText elementTextId="51080">
                <text>https://online-journals.org/index.php/i-jim/article/view/33733/12103</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="51081">
                <text>Copyright (c) 2022 khalid Benabbes, Brahim  Hmedna, Khalid  Housni, Ahmed  Zellou, Ali El Mezouary</text>
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              <elementText elementTextId="51082">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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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="51083">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 19 (2022); pp. 61-80</text>
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              <elementText elementTextId="51084">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="51085">
                <text>LMS</text>
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                <text>Learning styles</text>
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                <text>Dropout</text>
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                <text>Decision Tree</text>
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                <text>Rules-based</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>New Automatic Hybrid Approach for Tracking Learner Comprehension Progress in the LMS</text>
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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>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="51044">
                <text>Lau Yen Yen, Emily</text>
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                <text>Hashim, Harwati</text>
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                <text>Md Yunus, Melor</text>
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                <text>Teaching and learning to spell forms the basis for mastering English Language. The emerging mobile learning trends in the current 21st century education is useful in teaching and learning spelling. However, there were limited reviews about them. As such, a systematic review was conducted to provide an up-to-date synthesis on the mobile learning trends in supporting the mastery of spelling from year 2012 to year 2022. This review adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses which is also known as the PRISMA guideline. Three databases were involved: Web of Science, Scopus and Educational Resources Information Centre. After a rigorous screening process, a total of 19 articles fitted its objectives. Firstly, significant findings from the studies portrayed the use of four platforms in mobile learning trends in supporting the mastery of spelling namely mobile apps, spell-checker apps, word prediction apps and text messaging apps. Secondly, the primary level of education was more dominant in the related studies than the secondary and tertiary levels. Thirdly, it emphasised more on the students with a lower prevalence on teachers and both teachers and students as the respondents in the associated studies. This paper contributes to systematically reviewing 19 eligible related studies through a step-by-step protocol of identification, screening, eligibility and included as in the PRISMA guideline to establish quality review. It benefits both the English Language teachers and students in utilising various mobile learning platforms to support the mastery of spelling at all levels of education. It aspires to foreground the paucity in this topic in which more substantial studies are required to address the research gaps. The ultimate goal is to impose effective and practical strategies to advance mobile learning trends in supporting the mastery of spelling.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/33633</text>
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                <text>10.3991/ijim.v16i24.33633</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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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="51055">
                <text>Copyright (c) 2022 Emily Lau Yen Yen, Associate Professor Dr. Harwati Hashim, Professor Dr. Melor Md Yunus</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 24 (2022); pp. 59-80</text>
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                <text>1865-7923</text>
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                <text>21st century education</text>
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                <text>Mobile learning trends</text>
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                <text>Mastery of spelling</text>
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                <text>Systematic review</text>
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                <text>A Systematic Review of Mobile Learning Trends in Supporting the Mastery of Spelling</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Hussein, Karim Qassim</text>
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                <text>Mobile cloud computing is used to define and determine computing services with a structure model. The data and resource of any service will be retrieved from cloud computing through internet service, some tools, and user interface (web-based or application). Mobile Cloud Computing (MCC) is a hybrid of cloud computing and mobile computing. Multimedia Information is the core of Mobile Cloud information because of the sizable information of multimedia particularly video streaming. Mobile Cloud mostly handles and processes that information.&amp;nbsp; MCC is one of the business expressions with the real environment in the IT world. The concept of the MCC is still in the beginner stage of advancement. So, the handle of the innovation in a careful way especially in the bearing of future research should be provide.&amp;nbsp; In this paper, an algorithm is throttled load balancing for mobile clouds has been presented within an example of Multimedia information. The results has shown that the load balancing of cloud computing environment. In this scenario, load balancing techniques in mobile cloud computing can be employed and can successfully manage time through the cloud.</text>
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            <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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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="51032">
                <text>Copyright (c) 2022 Karim Qassim Hussein</text>
              </elementText>
              <elementText elementTextId="51033">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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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="51034">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 19 (2022); pp. 118-132</text>
              </elementText>
              <elementText elementTextId="51035">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="51036">
                <text>Mobile Cloud computing</text>
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              <elementText elementTextId="51037">
                <text>load balancing</text>
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                <text>Response time</text>
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              <elementText elementTextId="51039">
                <text>Multimedia</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>A Multimedia Information Time Balance Management in Mobile Cloud Environment Supported By Case Study</text>
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            <description>The nature or genre of the resource</description>
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              <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>
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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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            <name>Creator</name>
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              <elementText elementTextId="51001">
                <text>Saleh, Ashraf Mousa</text>
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                <text>Enaizan, Odai</text>
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                <text>2022-10-31</text>
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            <description>An account of the resource</description>
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                <text>Cognitive workload has been defined as the cognitive processing amount needed by a user in using an application. Cognitive load theory has been gaining increasing levels of importance within usability evaluations for mobile applications and the user interface. The PACMAD model has proven that cognitive workload (CL) can be seen as being a primary usability evaluation attribute in relation to mobile applications. Once the tasks that have been assigned to users within the environment of the mobile application have been performed by the evaluator, he/she subjectively measures the CL. Typically, subjective measurements are taken at a point following completion of a task and so they are static. Since these methods are static in nature, they are inappropriate for assessment of dynamic changes to the cognitive loads through user interaction. Robust measurement of the cognitive load of a user within real-time is not a simple, trivial undertaking. Lots of research studies have tried to assess the CL of users through use of various subjective measurements, though it is often the case that those approaches are unsuitable for use with real-life applications because of the high degree of intrusiveness. Automated measurement is seen as being a field that is relatively unexplored, particularly if used in relation to CL for mobile applications. The COG tool (CL automated tool) is proposed in this paper since it supports the interaction logging of the user for derivation of CL metrics that are based upon both secondary and primary tasks. Several strengths are provided by the automated measurement of CL, and it fills the gaps of a static nature of its non-objective, automated (subjective) counterpart. Within this research, in order for the study aim to be satisfied, objective CL metrics have been used by the researcher, i.e., task time, task success rate, number of touches, number of errors, duration on help, help visit count, total effort percentage and reaction on help. A total of 68 participants were recruited for the experiment, with them using an AAU mobile application through performance of a task that was predefined without there being any interference of a moderator or researcher. The findings showed that the proposed tool could fulfill the expected cognitive load monitoring functions amongst user interaction, collection of cognitive metrics and the logging of CL metrics that could be analyzed further.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/33363</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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              <elementText elementTextId="51010">
                <text>https://online-journals.org/index.php/i-jim/article/view/33363/12171</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="51011">
                <text>Copyright (c) 2022 Ashraf Saleh, Odai Enaizan</text>
              </elementText>
              <elementText elementTextId="51012">
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              <elementText elementTextId="51013">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 20 (2022); pp. 143-161</text>
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              <elementText elementTextId="51014">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="51015">
                <text>Cognitive load theory</text>
              </elementText>
              <elementText elementTextId="51016">
                <text>Mobile cognitive workload</text>
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                <text>mobile application</text>
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                <text>automated tool</text>
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            <name>Title</name>
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                <text>COG Tool: An Automated Cognitive Measurement of Workload for Mobile Event Logging</text>
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            </elementTextContainer>
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            <description>The nature or genre of the resource</description>
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              <name>Title</name>
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                <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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            <name>Creator</name>
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              <elementText elementTextId="50976">
                <text>Kabiljagić, Mirza</text>
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              <elementText elementTextId="50977">
                <text>Wachtler, Josef</text>
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              <elementText elementTextId="50978">
                <text>Ebner, Markus</text>
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                <text>Ebner, Martin</text>
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                <text>2022-09-08</text>
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            <description>An account of the resource</description>
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                <text>In the recent years, as technology grew, so did the chatbot technology. More and more companies and people are using and reaping the benefits from them. This paper shows how a chatbot for mathematical tasks, named mathbot, was developed. The chatbot uses mathematical exercises from the “Schulapps” of the LearningLab of Graz, University of Technology and combines them with textual questions to provide a useful utility for practicing. It is shown that such a chatbot could be useful for pupils and teachers by evaluating a test run in an elementary school.</text>
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                <text>application/pdf</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/33351</text>
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              <elementText elementTextId="50984">
                <text>10.3991/ijim.v16i17.33351</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="50985">
                <text>eng</text>
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            <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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            <description>A related resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/33351/11957</text>
              </elementText>
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          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="50988">
                <text>Copyright (c) 2022 Mirza Kabiljagić, Josef Wachtler, Markus Ebner, Martin Ebner</text>
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              <elementText elementTextId="50989">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="50990">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 17 (2022); pp. 75-87</text>
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              <elementText elementTextId="50991">
                <text>1865-7923</text>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="50992">
                <text>Chatbot</text>
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              <elementText elementTextId="50993">
                <text>learning analytics</text>
              </elementText>
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                <text>mathematics</text>
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                <text>children</text>
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              <elementText elementTextId="50996">
                <text>education</text>
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          <element elementId="50">
            <name>Title</name>
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                <text>Math Trainer as a Chatbot Via System (Push) Messages for Android</text>
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            <name>Type</name>
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