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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Reno Renaldi</text>
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                <text>In order to to support physical distancing activities in the teaching and learning process during the Covid-19 pandemic, an appropriate and effective learning model to fit the learning objectives must be developed. The CBE (Contextual Based on E-learning) learning model, developed from the Contextual Teaching Learning (CTL) model, was integrated with e-learning. This CTL learning model was chosen because this model is an innovative learning model where the process can assist students to connect learning with the context of their lives. This study aims to describe the model's effectiveness which was measured based on three aspects, namely: a) significant difference between students’ achievement in CBE model compared to that in traditional model; b) The effectiveness of CBE syntax in learning; c) Students’ perception on the new CBE model. This study is quantitative research with quasi experimental method. The results of the CBE model showed that the CBE model is significantly effective in improving students' abilities. Therefore, it can be concluded that the CBE model is proven to be effective to be implemented as new teaching model in online learning. The implication of this research is to contribute to new existing knowledge for education, and computer science and to add references to new online-based models. The limitation of this research is the effectiveness of this model  described the cognitive knowledge trough students’ learning outcomes.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/29787/11397</text>
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                <text>Copyright (c) 2022 Reno Renaldi, Aldiga Rienarti Abidin, Yuda Irawan, Abdurrahman Hamid, Rizky Ema Wulansari</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 11 (2022); pp. 39-50</text>
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                <text>1865-7923</text>
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                <text>Contextual Learning</text>
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                <text>Contextual Based E-learning (CBE): A New Model for Online Teaching in Public Health Department for Learning During the Covid-19 Pandemic</text>
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                <text>Cabanillas-Carbonell, Michael</text>
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                <text>Fruit consumption is related to the enjoyment of good health and the reduction of the occurrence of diseases such as obesity. At present, in the markets the process of determining the state of maturity of fruits is carried out by employees using only their criteria, since this method is very broad and tedious when carried out, for this the present investigation was developed, in improving the process of determining the state of maturity of fruits. The article exposes the development of a mobile application with Arduino, based on Scrum, to improve the determination of the state of maturity of fruits in markets.&amp;nbsp; Resorting to the use of pure experimental design with a sample of 30 data for each indicator. The results indicate that the margin of error when determining the resistances of the fruit with the application with respect to the multimeter was 4.73 percent and in determining the color of the fruit with respect to the sensor was 6.09 percent. It was concluded that the prototype fulfills its function of determining the state of maturity of the fruit by means of these 2 sensors implemented in the Arduino, having a minimum margin of error.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/29785</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/29785/11757</text>
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                <text>Copyright (c) 2022 Victor Cespedes-Lluque, Miguel Yucra-Calla, Michael Cabanillas-Carbonell, José Luis Herrera Salazar</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 14 (2022); pp. 63-77</text>
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                <text>1865-7923</text>
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                <text>mobile application</text>
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                <text>fruit maturity</text>
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                <text>Mobile Application with Arduino to Improve the Determination of the Ripening Status of the Fruit</text>
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                <text>Komaini, Anton</text>
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                <text>Hermanzoni</text>
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                <text>Handayani, Sri Gusti</text>
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                <text>Rifki, Muhamad Sazeli</text>
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                <text>Kiram, Yanuar</text>
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                <text>Ayubi, Novadri</text>
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                <text>Abstract— The This study aims to design a motor skill training tool for children using sensor-based agility components in pgysical education learning. This study uses a research and development design. the materials used are Arduino, Connector, LED, Sensor tool, Power button, and Tool cover.&amp;nbsp; After the product design is made, Collecting research data by conducting direct interviews with experts. it will then be validated by a competent expert. In this study, we asked for validation from three experts, namely: (1) evaluation and exercise evaluation (2) instrumentation physicist (3) motor skills expert. Collecting research data by conducting direct interviews with experts. Based on the expert validation test, the design of skill training tools using sensor-based agility components gets effective results, so that they can be used to carry out motor skills exercises. The importance of motor skills as the basis for every child's active life, with the help of tools to help children to encourage themselves to practice, Design of motor skills training tools with sensor-based agility components has the potential and effectiveness to train children's motor skills.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/29731</text>
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                <text>10.3991/ijim.v16i05.29731</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/29731/10901</text>
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                <text>Copyright (c) 2022 Anton Komaini</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 05 (2022); pp. 207-215</text>
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                <text>1865-7923</text>
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                <text>Motor skills</text>
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                <text>Design of Children’s Motor Training Tools Using Sensor-Based Agility Components in Physical Education Learning</text>
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                <text>2022-06-07</text>
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                <text>Language for a long time is an indispensable tool for society, since it allows communication and interaction between people. Learning sign language is a very big problem, either because access to information is scarce, there are no interpreters of this language or because learning of this language is not taught from an early age. This document shows the development of a mobile application with augmented reality following the mobile methodology and determining the influence it has on the Peruvian sign language learning process, with a sample of 30 students as a control group and an experimental group. It started with a performance percentage of 23 percent and using the mobile application significantly improved the performance of the sign language student by 65 percent.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/29717</text>
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            <description>A language of the resource</description>
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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/29717/11399</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47855">
                <text>Copyright (c) 2022 Michael Cabanillas-Carbonell, Piero Cusi-Ruiz, Daniela Prudencio-Galvez, José Luis Herrera Salazar</text>
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              <elementText elementTextId="47857">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 11 (2022); pp. 51-64</text>
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              <elementText elementTextId="47858">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="47859">
                <text>augmented reality</text>
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                <text>mobile application</text>
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                <text>sign language</text>
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              <elementText elementTextId="47862">
                <text>mobile-d</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Mobile Application with Augmented Reality to Improve the Process of Learning Sign Language</text>
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            <description>The nature or genre of the resource</description>
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              <elementTextContainer>
                <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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        <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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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="47815">
                <text>Akintola, Abimbola Ganiyat</text>
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                <text>Balogun, Abdullateef</text>
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              <elementText elementTextId="47817">
                <text>Mojeed, Hammed Adeleke</text>
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                <text>Usman-Hamza, Fatima</text>
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                <text>Salihu, Shakirat Aderonke</text>
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                <text>Adewole, Kayode Sakariyau</text>
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                <text>Balogun, Ghaniyyat Bolanale</text>
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                <text>Sadiku, Peter Ogirima</text>
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            <description>An account of the resource</description>
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                <text>Due to the exponential rise of mobile technology, a slew of new mobile security concerns has surfaced recently. To address the hazards connected with malware, many approaches have been developed. Signature-based detection is the most widely used approach for detecting Android malware. This approach has the disadvantage of being unable to identify unknown malware. As a result of this issue, machine learning (ML) for identifying and categorising malware apps was created. Conventional ML methods are concerned with increasing classification accuracy. However, the standard classification method performs poorly in recognising malware applications due to the unbalanced real-world datasets. In this study, an empirical analysis of the detection performance of ML methods in the presence of class imbalance is conducted. Specifically, eleven (11) ML methods with diverse computational complexities were investigated. Also, a synthetic minority oversampling technique (SMOTE) and random undersampling (RUS) are deployed to address the class imbalance in the Android malware datasets. The experimented ML methods are tested using the Malgenome and Drebin Android malware datasets that contain features gathered from both static and dynamic malware approaches. According to the experimental findings, the performance of each experimented ML method varies across the datasets. Moreover, the presence of class imbalance deteriorated the performance of the ML methods as their performances were amplified with the deployment of data sampling methods (SMOTE and RUS) used to alleviate the class imbalance problem. Besides, ML models with SMOTE technique are superior to other experimented methods. It is therefore recommended to address the inherent class imbalance problem in Android Malware detection.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/29687</text>
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                <text>10.3991/ijim.v16i10.29687</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47828">
                <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="47829">
                <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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              <elementText elementTextId="47830">
                <text>https://online-journals.org/index.php/i-jim/article/view/29687/11357</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47831">
                <text>Copyright (c) 2022 Abdullateef Balogun, Abimbola Ganiyat Akintola, Hammed Adeleke Mojeed, Fatima Usman-Hamza, Shakirat Aderonke Salihu, Ghaniyyat Bolanale Balogun, Peter Ogirima Sadiku, Kayode Sakariyau  Adewole</text>
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                <text>https://creativecommons.org/licenses/by/4.0</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="47833">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 140-162</text>
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              <elementText elementTextId="47834">
                <text>1865-7923</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47835">
                <text>Android</text>
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              <elementText elementTextId="47836">
                <text>Malware detection</text>
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              <elementText elementTextId="47837">
                <text>Machine learning</text>
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              <elementText elementTextId="47838">
                <text>Data sampling</text>
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          </element>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47839">
                <text>Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection</text>
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            </elementTextContainer>
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            <description>The nature or genre of the resource</description>
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              <elementText elementTextId="47841">
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                <text>Peer-reviewed Article</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>
                </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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              <elementText elementTextId="47791">
                <text>Rahali, El Ayachi</text>
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                <text>El Khattabi, Khalid</text>
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                <text>Chikhaoui, Ahmida</text>
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                <text>Ouzennou, Fatima</text>
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                <text>2022-07-26</text>
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            <description>An account of the resource</description>
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                <text>This article aims to contribute to the establishment of a model of tablets’ situated acceptance in teaching practice in Moroccan primary schools. To do this, Davis' TAM has been adopted in the testing of this technology in its context of use. This research is conducted through a questionnaire administered in six primary schools in the region of Béni Mellal-Khénifra, one of the twelve regions of Morocco. An exploratory factorial analysis and another confirmatory one using structural equation modelling revealed that the appropriation of tablets is positively and directly influenced by the perception of its usefulness in teaching practice; and indirectly by teacher training and conditions that facilitate teachers’ work.&amp;nbsp;</text>
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                <text>application/pdf</text>
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              <elementText elementTextId="47798">
                <text>https://online-journals.org/index.php/i-jim/article/view/29685</text>
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              <elementText elementTextId="47799">
                <text>10.3991/ijim.v16i14.29685</text>
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            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47800">
                <text>eng</text>
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              <elementText elementTextId="47801">
                <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/29685/11773</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="47803">
                <text>Copyright (c) 2022 El Ayachi Rahali, Khalid El Khattabi, Ahmida Chikhaoui, Fatima  Ouzennou</text>
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              <elementText elementTextId="47804">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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              <elementText elementTextId="47805">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 14 (2022); pp. 182-200</text>
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                <text>1865-7923</text>
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                <text>Acceptance situated</text>
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                <text>tablet</text>
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                <text>TAM</text>
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                <text>primary education</text>
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              <elementText elementTextId="47811">
                <text>Towards a Model of Situated Acceptance of Tablets in Teaching Practice in Moroccan Primary Schools</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="47770">
                <text>Dahal, Niroj</text>
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                <text>Pant, Binod Prasad</text>
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                <text>Shrestha, Indra Mani</text>
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                <text>Manandhar, Netra Kumar</text>
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                <text>The use of GeoGebra in teaching geometric transformations was investigated in this study. GeoGebra is a math software available in over 100 plus languages, both online and offline. GeoGebra is a useful application to improve and enrich mathematics teaching and learning by allowing students to visualize mathematical concepts, which is extremely useful for mathematical experiments and discoveries at all educational levels, from elementary school to university. The theoretical referents used in this article are cognitive learning theory and Vygotsky's social learning theory. Twenty students (twelve boys and eight girls) in grade IX from a private school in Kathmandu Valley, Nepal, were taught mathematics using a variety of specific instances of transformation highlighted in this study, including reflection, rotation, translation, and dilation. This research used a qualitative research method called a teaching experiment to examine the use of GeoGebra in eleven episodes. Students were aided in visualizing abstract concepts of change by using relevant images, photos, and animations of GeoGebra-created objects. The findings of a classroom experiment are GeoGebra is an easy-to-use application, GeoGebra allows for discovery learning, GeoGebra encourages collaborative learning, and GeoGebra to visualize geometric transformations. Likewise, GeoGebra aids in the teaching and comprehension of abstract transformation concepts. These findings show how students can develop into active knowledge builders when GeoGebra is used in mathematics classes. They also communicate with one another, keep track of the change process, and respect their instructors' authority in such classes. It is an important instructional tool that supports the educational system's transition from a teacher-centered to a learner-centered approach by complementing the traditional lecture method of teaching mathematics.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/29575</text>
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                <text>10.3991/ijim.v16i08.29575</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>Copyright (c) 2022 Niroj Dahal, Binod Prasad Pant, Indra Mani  Shrestha, Netra Kumar Manandhar</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 08 (2022); pp. 65-78</text>
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                <text>1865-7923</text>
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                <text>GeoGebra, transformation, mathematical experiment, episodes, authority, approach.</text>
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                <text>Panackal, Nehajoan</text>
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Abstract: The drastic change in the technological environment has transformed the entire world including the education sector which was and is largely dominated by classroom teaching. In the last decade, a new entrant in the education sector has been e-learning. The COVID-19 pandemic has forced educational institutes to look at e-learning as a path to continue the learning process. The present paper aims to propose a model highlighting the enablers that encourage the smooth and effective delivery of e-learning process and highlight the barriers that cause hurdles in the effective delivery of e-learning. The researchers have followed the Total Interpretive Structural Modelling and Fuzzy Matriced’ Impacts Croise's Multiplication Appliquée a UN Classement (MICMAC) analysis approach of extant literature review, expert opinion and multiple iterations to arrive at the proposed model. The findings of the present research study show the linkages between the identified enablers: institutional culture, institutional capability and support, flexibility in the teaching-learning process, e-readiness, motivation, knowledge management practices, and technology. Knowledge management practices that include practices of capturing knowledge and sharing knowledge have emerged as the most significant enabler of e-learning. The model on barriers to e-learning shows the relationship between lack of required skills, lack of access to technology, quality concerns, time as a barrier, learner engagement as barriers to effective e-learning. Modelling of enablers and barriers and effective e-learning is a less explored area, particularly in the Indian context with special emphasis on the pandemic. The study was carried out to address this research gap.</text>
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                <text>Copyright (c) 2022 Sonica Rautela, Nehajoan  Panackal, Adya  Sharma</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 08 (2022); pp. 138-164</text>
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                <text>1865-7923</text>
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                <text>e-learning</text>
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                <text>Enablers</text>
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                <text>Modeling the Enablers and Barriers to Effective E-learning: A TISM Approach</text>
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                <text>Nguyen Minh, Quy</text>
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                <text>Nguyen Tien, Ban</text>
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                <text>Vu Khanh, Quy</text>
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                <text>In recent years, Wireless Mesh Networks (WMN) are emerging as a potential technology to enhance the ability and availability of wireless networks. WMN consists of wireless mesh routers and terminals connected by wireless multi-hop communication. Besides, in WMN, each wireless node owns many interfaces, and each interface operates on many channels. However, effectively using multiple orthogonal channels and multiple interfaces to increase the performance of WMN and decrease the radio link transmission interference is of significant challenge. In this paper, we consider routing issues in WMN. Then, we proposed an on-demand routing protocol, adaptive multi-channel multi-interface operation, improved from the AODV protocol. This protocol is capable of effectively managing communication in the WMN and limited effects of co-channel interference. The simulation results on NS2 show that our proposed protocol improves throughput, delay and packet delivery rate compared to existing traditional protocols.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/29433</text>
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                <text>10.3991/ijim.v16i11.29433</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/29433/11409</text>
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              <elementText elementTextId="47734">
                <text>Copyright (c) 2022 Nguyen Minh Quy, Prof. Nguyen Tien Ban, Dr. Quy Vu Khanh</text>
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                <text>https://creativecommons.org/licenses/by/4.0</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 11 (2022); pp. 136-148</text>
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                <text>1865-7923</text>
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                <text>Wireless Mesh Networks</text>
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                <text>Multi-Channel</text>
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                <text>An Improved Multi-Channel Multi-Interface Routing Protocol for Wireless Mesh Networks</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Qabajeh, Mohammad M.</text>
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                <text>Nowadays, group communications over Mobile Ad hoc Networks (MANETs) have received significant attention. Multicasting plays an important role in simultaneous delivery of information to group of receivers. Thus, it is necessary to design efficient and effective multicast routing protocol to support group communication applications. Several efforts have been put to improve multicast routing. However, they do not consider scalability issue. This paper introduces a a novel Scalable Geographic Multicast Routing Protocol (SGMRP). The main objective of this protocol is to design a lightweight scalable multicast routing scheme irrespective of the number of multicast members and network size. To achieve this, a virtual clustering strategy has been introduced. This strategy based on partitioning the network into sectorial zones. The proposed solution performs efficient packet forwarding with reduced communication overhead. The proposed scheme eliminates the duplicate packets between clusters and reduces the number of participating nodes</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2022 Mohammad M. M. Qabajeh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 07 (2022); pp. 182-188</text>
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                <text>1865-7923</text>
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                <text>Mobile Ad hoc networks</text>
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                <text>A Novel Approach to Support Scalable Multicast Routing in Wireless Ad Hoc Networks</text>
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