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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Minhat, Mohammad Hazwan Hakim</text>
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                <text>Mahamad, Abd Kadir</text>
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                <text>Umi Fadlillah</text>
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                <text>Leaf identification image is consistently a difficult task when using computer vision. The convolutional component extraction methods on images have their impediment and limitation, such as low accuracy, are not adaptable and less promising when converted to genuine application. The reasons are the lack of dataset needed to build a recognition model. Likewise, using the computer as a tool is bothering as it restricts the task in the research lab only. Convolutional Neural Network (CNN) shows a great solution for the computer version. Subsequently, this project utilizes the CNN’s properties to solve the image classification task, and the CNN model chosen is run in Phyton coding in TensorFlow Lite. It is similar to TensorFlow’s running code, but this project focused on building an Android application. It can perform faster and produce high accuracy results. There are four types of leaves involved in this project: betik, kari, pudina, and cengal. As a result, the model could reach around 99% accuracy with a 0.176 error rate. Ultimately, an Android application called Leaf identification is created. The model is sent and integrated into the apps that work with a concentrated information base to help put away and deal with the pictures. Hence, an Android leaf image identifier using CNN is proposed to solve the stated problem and is believed to contribute to education and research.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/31881/11819</text>
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                <text>Copyright (c) 2022 Hazwan Hakim, Sharifa, Dr Kadir , Umi Fadlillah</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 15 (2022); pp. 62-77</text>
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                <text>1865-7923</text>
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                <text>leaf identification</text>
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                <text>Android Application of Leaf Identification System</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Masmuzidin, Masyarah Zulhaida</text>
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                <text>Suhaimi, Suhazlan</text>
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                <text>Of late, Augmented Reality (AR) has become one of the important tools in teaching and learning, which is made evident by an increasing number of studies focusing on such technology over the past few years. However, studies focusing on the design of AR learning tools or applications for young children have been seriously lacking. Therefore, this paper provides a detailed account of the findings of a study carried out by the authors in which the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) method was used to select and critically review related articles from two leading databases, namely Scopus and Web of Science (WoS) databases. Overall, 16 articles relating to the design and development of AR learning applications were selected from such databases, which revealed five themes and nine subthemes as follows: (1) information design (with three sub-themes), (2) interface design (with one subtheme), (3) interaction design (with two subthemes), (4) imagination (with two subthemes), and (5) immersion (with one subtheme). As such, all five themes relating to the design aspects of AR learning applications need to be carefully addressed and considered in developing efficacious AR learning applications for young children. In summation, the findings of this study based on the systematic review of the current AR literature can be used as a guideline for developers of AR learning applications to ensure their products can be both efficacious and entertaining, the impact of which can surely improve children’s learning performance, motivation, and interest.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/31837</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/31837/11955</text>
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                <text>Copyright (c) 2022 MASYARAH ZULHAIDA MASMUZIDIN, Associate Professor, Suhazlan Suhaimi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 17 (2022); pp. 60-74</text>
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                <text>1865-7923</text>
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                <text>Augmented reality</text>
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                <text>A Systematic Review of the Design  of Augmented Reality Applications for Young Children</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Saleh, Ashraf</text>
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                <text>Enaizan , Odai</text>
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                <text>Eneizan , Bilal</text>
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                <text>Al-Mu’ani, Lu’ay</text>
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                <text>Al-Radaideh, Ahmad</text>
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                <text>Hanandeh, Feras</text>
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                <text>The growth of mobile commerce marketplaces worldwide has been boosted by modern advances in digital technology. However, Privacy and security are still concern in m-commerce application. Since the previous study has researched the link between security and privacy and purpose to use, the factors that influence the formation of privacy and security in m-commerce are mostly unidentified. On the basis of UTAUT2, this study investigates the factors of security and privacy effecting mobile commerce acceptance. A hybrid SEM-ANN method was utilized to identify non-linear and compensatory interactions. Compensatory and Linear models are based on the idea that a deficiency in one component might also be compensated for by other variables. Linear and Non-compensatory models, on the other hand, seem to overcomplicate buyer decision mechanisms. Survey criteria have been conducted to obtain 890 mobile commerce consumer’s datasets utilizing an application on m-commerce. The following are the results. (1) M-commerce acceptability and use were positively influenced by five determinants (Security, performance expectancy, effort expectancy, habit, and price value). (2) Un-authorization, Error, secondary usage, collection, control, and awareness were all shown to directly and significantly negatively impact M-COMMERCE acceptance and use. (3) Three additional variables (social influence, hedonic motivation, and facilitating conditions) did not affect customers' intentions to use m-commerce applications in Jordan. In m-commerce, the integrated model expects a 45% percent increase in security and privacy.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/31815</text>
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                <text>Copyright (c) 2022 Ashraf Saleh, Odai  Enaizan , Bilal  Eneizan , Lu’ay  Al-Mu’ani, Ahmad  Al-Radaideh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 125-152</text>
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                <text>1865-7923</text>
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                <text>Privacy</text>
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                <text>Neural Network Approach</text>
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                <text>A Hybrid SEM and Neural Network Approach to Understand and Predict the Determinants of Consumers’ Acceptance and Usage of Mobile-Commerce Application</text>
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                <text>The rapid advancement of technology has created a vibrant digital museum services and solutions industry. There is a drive for museums to overcome interaction and engagement issues, therefore providing a favorable atmosphere for a digital heritage economy. The research objectives of this paper are the recognition of the digital technologies used for the growth of digital museums. The study used the PRISMA statement 2020 to investigate the powerful technologies applied to the digital museum to develop the visitor’s experience. The final 46 articles included for the investigation and VOS software and key occurrence terms find the major classification themes of the literature. The digital museums, visitors' experiences, and digital technologies. The study's findings indicated that digital technologies significantly impact visitors' experience and interest after digital technologies like AR and VR development. In addition, many new inclusions of digital technologies like Personalization / Wearable Devices, Gesture Technology / Non-touch Interactives, Mobile Technologies, Indoor GPS tracking systems, Artificial Intelligence, Flexible Technology Exhibit Platforms, Virtual Touring, and clouding are also enhancing the visitor's experience in museums.</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="50017">
                <text>Copyright (c) 2022 Ahdab Najib Hijazi, Ahmad Hanif Ahmad Baharin</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 16 (2022); pp. 142-159</text>
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              <elementText elementTextId="50020">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="50021">
                <text>digital technologies</text>
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                <text>digital museums</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>The Effectiveness of Digital Technologies Used for the Visitor’s Experience in Digital Museums. A Systematic Literature Review from the Last Two Decades</text>
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              <description>A name given to the resource</description>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Roumba, Evanthia</text>
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                <text>Nicolaidou, Iolie</text>
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                <text>Augmented Reality (AR) books show potential to increase young learners’ reading motivation, which is important given children's declining reading motivation over the school years. Previous studies measured reading motivation only in higher education and only after users’ experience with AR. Few empirical studies have focused on school-aged children and those examined attitudes, not motivation. This study aimed to: a) examine how young children's motivation changes through the experience of reading AR books and b) document their attitudes and behaviors after this experience. Participants in this pre-test post-test case study were 40 fourth and fifth graders. Data sources included validated questionnaires and an observation protocol of children’s behavior while interacting with AR books. The results of paired samples t-tests for children's motivation indicated a statistically significant increase in attention (t (39) = - 3.07, p = 0.004), confidence (t (39) = - 2.44, p = 0.019) and satisfaction (t (39) = - 3.26, p = 0.002). Children read comfortably, seemed focused, and were eager to read more. They showed a high level of enthusiasm with AR technology when interacting with the first AR book, which notably decreased with the second book. The children maintained positive attitudes and behaviors towards AR. The study showed that even through short-term interactions, AR books have the potential to increase young students’ reading motivation. It adds to our knowledge concerning the use of AR books by primary school children, who are under-represented in the literature. Directions for future research are drawn.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/31741</text>
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              <elementText elementTextId="49989">
                <text>10.3991/ijim.v16i16.31741</text>
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            <description>A language of the resource</description>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/31741/11873</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49993">
                <text>Copyright (c) 2022 Evanthia Roumba, Iolie Nicolaidou</text>
              </elementText>
              <elementText elementTextId="49994">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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              <elementText elementTextId="49995">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 16 (2022); pp. 59-73</text>
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              <elementText elementTextId="49996">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="49997">
                <text>Augmented Reality</text>
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              <elementText elementTextId="49998">
                <text>reading motivation</text>
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                <text>attitudes</text>
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                <text>behaviors</text>
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                <text>primary school</text>
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                <text>young children</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="50003">
                <text>Augmented Reality Books: Motivation, Attitudes, and Behaviors of Young Readers</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>
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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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    <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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              <elementText elementTextId="49958">
                <text>Azizi, Yassine</text>
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                <text>Azizi, Mostafa</text>
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                <text>Elboukhari, Mohamed</text>
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                <text>Threats towards information systems have continued to increase and become more sophisticated, making security approaches a necessity for all types of organizations to ensure their protection. To implement an appropriate computer security policy, it is necessary to efficiently exploit the data that has become a valuable asset for these security systems, provided it is well used, controlled and monitored.In this paper, we focus on developing a decentralized solution based on Blockchain technology and IPFS (InterPlanetary File System) that can maintain and ensure the integrity of log files and sensitive information. The obtained results are promising, we obtained a distributed ledger of all log file transactions in a chronological sequence, which was shared among all Ethereum participants, allowing us to verify the log files' integrity, validity, and auditability throughout their life cycle.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="49964">
                <text>https://online-journals.org/index.php/i-jim/article/view/31713</text>
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                <text>10.3991/ijim.v16i15.31713</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="49966">
                <text>eng</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="49967">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <name>Relation</name>
            <description>A related resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/31713/11811</text>
              </elementText>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="49969">
                <text>Copyright (c) 2022 Yassine AZIZI, Mostafa AZIZI, Mohamed Elboukhari</text>
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              <elementText elementTextId="49970">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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              <elementText elementTextId="49971">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 15 (2022); pp. 4-15</text>
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              <elementText elementTextId="49972">
                <text>1865-7923</text>
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                <text>Blockchain</text>
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              <elementText elementTextId="49974">
                <text>Ethereum</text>
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                <text>Security</text>
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                <text>IPFS</text>
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                <text>Log files</text>
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                <text>Smart contract</text>
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                <text>Log Data Integrity Solution based on Blockchain Technology and IPFS</text>
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            <description>The nature or genre of the resource</description>
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            <element elementId="50">
              <name>Title</name>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Nurhasanah, Nia</text>
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                <text>Masitoh, Siti</text>
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                <text>Arianto, Fajar</text>
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                <text>Ayubi, Novadri</text>
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                <text>Early Childhood Education has an important role in the development of a child. When talking about Early Childhood Education quality is the most critical, especially during the Covid-19 Pandemic as it is today and coincides with the era of the industrial revolution 4.0 where the education system underwent drastic changes. This study aims to (1) produce an Early Childhood Education application based on android; (2) test the effectiveness of the Early Childhood Education application. The development of the Android-based PAUDPEDIA application will be carried out using the 4D Model Research and Development method proposed by Thiagarajan and Semmel. This research and development are divided into four stages, namely define, design, develop, and disseminate. The results of this study indicate that researchers can achieve the expected output targets, namely (1) the results of the expert trial of the Android-based PAUDPEDIA Application showed a percentage of 86.7%. This means that the Android-based PAUDPEDIA Application is very feasible to be distributed to users and ready to use; while the results of user trials on the Android-based PAUDPEDIA application showed a percentage of 86.2%. This means that the Android-based PAUDPEDIA Application is effective for use by users; and (2) the Android-based PAUDPEDIA application is effective to be used to facilitate distance education activities in Early Childhood Education. It can be concluded that the Android-based PAUDPEDIA application is very suitable for use by users and is effectively used for distance education activities in PAUD, especially during the current COVID-19 pandemic.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/31703</text>
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                <text>10.3991/ijim.v16i09.31703</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2022 Nia Nurhasanah, Siti Masitoh, Fajar Arianto, Novadri Ayubi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 09 (2022); pp. 231-238</text>
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                <text>1865-7923</text>
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                <text>Copyright (c) 2022 Laberiano  Andrade-Arenas, Alexis Javier  Carrion Silva, Angie Melanie  Reyes Calderon ́, Margarita  Giraldo Retuerto</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 15 (2022); pp. 112-124</text>
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                <text>1865-7923</text>
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                <text>augmented reality</text>
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                <text>Application of Augmented Reality in Teaching and Learning in Engineering Programs</text>
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                <text>Moontaha Nishat Chowdhury</text>
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                <text>Human Activity-based studies have become an omnipresent research topic in Machine Learning. Considering the countless impacts of human activity on persons' everyday life, we have analyzed the correlation between human activity and their product preferences in our study and proposed that daily human activity could be a metric for product recommendation models. To address this previously unaccounted phenomenon, a new approach is presented in our study that gives real-time recommendations to users by observing their activeness in daily life. However, product recommendation systems mostly believe in ratings, and the purchase behavior of users instead of investigating the precious insights of users' daily activities. But we examined smartphones' GPS sensor data using machine learning algorithms to urge insights from users' daily activeness and proposed a model for predicting the product of interest of the purchasers, based on the activeness of their daily life. Moreover, based on our model, we have introduced a prototype of a real-time recommendation system, especially for the retail shops that rely on users' implicit data from smartphone sensors to form product recommendations. For conducting our study, we developed an android application that—collects embedded smartphone sensor data and can detect objects to provide product recommendations and product details. Experiment shows, that our proffered daily activeness-based recommendation system using smartphone sensor data, performs with a precision of 66%, but it is also a promising performance because it does not use customers' explicit feedback.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2022 Moontaha Nishat Chowdhury, H M Zabir Haque, Kazi Taqi Tahmid, Fatema-Tuz-Zohora Salma, Nafisa Ahmed</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 16 (2022); pp. 190-204</text>
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                <text>1865-7923</text>
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                <text>human activity, smartphone sensors, preferences, object detection, recommendations.</text>
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                <text>A Novel Approach for Product Recommendation Using Smartphone Sensor Data</text>
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                <text>This research presents a chatbot application to provide educational information for university students. There are three objectives: 1) to study the problem of providing information to university students with chatbots, 2) to develop a model and construct a chatbot to predict the interest of university students, and 3) to assess the satisfaction of the information provided by the chatbot application. The research datasets were the conversations from the Messenger Facebook Page of the Faculty of Information Technology, Rajabhat Maha Sarakham University, during the academic year 2020-2021. In total, there were 1,094 transactions used in this research work. Furthermore, data mining and machine learning techniques, including CRISP-DM, Naïve Bayes, K-Nearest Neighbors, and Neural Network, were used as the research tools. The cross-validation and confusion matrix techniques were used to test the model performance. Moreover, a questionnaire was the application satisfaction assessment tool for 30 respondents. As a result, it showed that the developed model provided high-level results, which are 88.73% accuracy and an average of 3.97 for application satisfaction. In the future, the researchers plan to apply the results for the next academic year and expand into other academic programs.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/31593</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2023 Patchara  Nasa-Ngium, Wongpanya Sararat Nuankaew, Pratya Nuankaew</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 05 (2023); pp. 4-21</text>
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                <text>1865-7923</text>
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                <text>Applied Informatics</text>
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                <text>Analyzing and Tracking Student Educational Program Interests on Social Media with Chatbots Platform and Text Analytics</text>
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