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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Jabbar, Mohammed M.</text>
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                <text>Zaki, Salim M</text>
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                <text>The parts of buildings most susceptible to light and heat are the windows, which are necessary for basic cooling and heating. A huge amount of electrical energy is used to power air conditioners to adjust the inside temperature of residential buildings, while appropriate glazing techniques and materials can be used to reduce energy consumption. There are classic techniques used for tinting glass in buildings and cars, but they all continue to use fixed techniques with one degree of glazing. Users cannot adjust the glazing of these glasses in response to the intensity of sunlight either automatically or by hand. In this research, a modern technique is proposed to allow users to automatically control a glass’s glazing through sensors and Android application with a microcontroller. Arduino microcontroller is used along with a special film polymer dispersed liquid crystals (PDLC) material coating the glasses to enable tinting. The results show adjustable levels of tinting with PDLC film being enabled.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/19411</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/19411/8831</text>
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                <text>Copyright (c) 2021 Salim M Zaki</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 05 (2021); pp. 54-65</text>
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                <text>1865-7923</text>
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                <text>IoT</text>
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                <text>Smart tint</text>
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                <text>Smart-Glass Glazing using Arduino and Android Application</text>
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                <text>Seng Keau, Chung</text>
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                <text>Kim On, Chin</text>
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                <text>Manual time and attendance systems are still being practiced within a considerable number of universities, colleges, government departments and companies. This traditional system requires the user to fill in their timesheets or sign on the attendance sheet manually. The practice inefficient and ineffective for university’s student attendance recording due to,  i) lecturer may lose the attendance sheet, ii) student may sign for their friends, iii) student may forget to sign on the attendance sheet, and iv) challenging to monitor attendance rate and analysis. Thus, there is a necessity to change these traditional attendance recording methods to a more efficient one. The attendance rate is significant because students are more likely to succeed in academics when they attend classes consistently. As such, a mobile app, namely Smart-Hadir, is designed to overcome problems as mentioned above. Smart-Hadir is a smartphone application developed by UMS aimed to record student attendance digitally during a class session. The technology used is slightly different from the existing applications, where Smart-Hadir is not using RFID technology but rather covers NFC, QR code, and beacon technologies. Attendance could be taken either using NFC or QR code displayed on the wall using a projector or scan the available beacon. Lecturers can create class session using the Smart-Hadir anywhere and anytime. Students are then required to take their attendance either scan the QR code, search the beacon, or swiped their student card on the lecturer’s phone. The students’ attendance will be immediately captured and saved into the database. Lecturers will be able to view the statistic report, identify and e-mail absentees, as well as monitor students’ attendance behaviour. A statistical report can be generated. It shows the percentages of students’ attendance rate, absent rate, and status. The Smart-Hadir is advantageous as it can be used to capture meeting or event attendance record as well.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22677</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/22677/9593</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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                <text>Copyright (c) 2021 Chung Seng Keau, Chin Kim On, Mohd Hanafi Ahmad Hijazi, Manmeet Mahinderjit Singh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 14 (2021); pp. 4-16</text>
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                <text>1865-7923</text>
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                <text>Attendance Management System</text>
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                <text>Attendance Records</text>
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                <text>Registration</text>
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                <text>NFC</text>
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                <text>QR Code</text>
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                <text>beacon</text>
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                <text>Smart-Hadir App</text>
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                <text>Mobile App Development</text>
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                <text>Smart-Hadir – Mobile Based Attendance Management System</text>
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              <elementText elementTextId="43091">
                <text>García-Santillán, Arturo</text>
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                <text>Moreno-García, Elena</text>
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                <text>Martínez-Rodríguez, Valerie</text>
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                <text>2021-11-19</text>
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                <text>Students academic performance could be affected by excessive use of the smartphone. This study focuses on analyzing the level of cell phone addiction in engineering university students. It also seeks to determine if there is a difference by gender in this behavior. 306 engineering students from a Technological Institute in Veracruz, Mexico participated in the study. The instrument used to obtain data was SAS-SV (Smartphone addiction scale-short version) designed by [1]. In order to identify the set of indicators with the highest factor loadings, an exploratory factor analysis was carried out with extraction of components and orthogonal rotation with the Varimax method. To identify if there is a difference by gender, the t test is used to contrast the hypothesis about two independent population means. The findings demonstrated the extraction of two components, which differs from the one-dimensional model proposed by [1], and no difference was found between the groups of male and female students.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/23357</text>
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                <text>10.3991/ijim.v15i22.23357</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/23357/10261</text>
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                <text>Copyright (c) 2021 Arturo García-Santillán, Elena Moreno-García, Valerie Martínez-Rodríguez</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 22 (2021); pp. 127-141</text>
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                <text>1865-7923</text>
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                <text>Smartphone</text>
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                <text>Smartphone Addiction in Mexican Engineering Students</text>
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                <text>Elrefaei, Lamiaa A.</text>
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                <text>Color blind is a type of Color Vision Deficiency, which is the inability that a person could not realize the differences between some colors. There are three types of color blindness: Monochromacy, Dichromacy, and Anomalous Trichromacy. Color blind cannot be cured. Today, technology gets up with solutions to help people with color blindness to see the image and distinguish between the different colors using some algorithms. This paper presents a smartphone based experimental comparison of color correction algorithms for all Dichromacy color-blind viewers: Protanopia, Duteranopia, and Tritanopia. This comparison includes LMS Daltonization algorithm, Color-blind Filter Service (CBFS) algorithm, LAB color corrector algorithm, and the shifting color algorithm. The LMS algorithm is implemented for all the three types of Dichromacy. While CBFS, LAB adjustment, and Shifting color algorithms are applied to correct colors for Protanopia, Duteranopia, and Tritanopia respectively. The results show that the processing time for LMS algorithm is slow compared to other algorithms. For Protanopia people, the LMS algorithm is better than CBFS algorithm as the LMS algorithm only changes color of con-fused areas with no change in the brightness. For Duteranopia people, the LAB color correction is better than the LMS algorithm. For Tritanopia people, both the shifting color algorithm and the LMS algorithm may produce a new confu-sion in the proceed images. An application interface is implemented to enable the user to choose the algorithm that gives the most appropriate results.</text>
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                <text>Copyright (c) 2018 Lamiaa A. Elrefaei</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 3 (2018); pp. 104-119</text>
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                <text>1865-7923</text>
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                <text>OpenCV</text>
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                <text>Android.</text>
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                <text>Smartphone Based Image Color Correction for Color Blindness</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Alepis, Efthymios</text>
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                <text>Kontogianni, Aristea</text>
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                <text>Recent advances in IT have offered people the opportunity to have powerful ultramobile devices in their pockets incorporating a plethora of capabilities which, in most cases, require Internet connectivity. This constant need for Internet access though, especially when a wireless hotspot is unavailable requires connection via network data. The fixed cellular data packages offered by carriers usually do not come for free and to a large extend cannot be adapted to the dynamic needs of users who sometimes need more than they own, while in other cases under-use their network data.  This issue, in combination with the fact that signal quality in many areas is not even fair for one or more carriers has led to the development of a novel android application that aims at allowing users in general and tourists to “foresee” bad signal coverage at places of their interest, as well as to share their cellular data via mobile tethering.</text>
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            <description>A language of the resource</description>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32962">
                <text>Copyright (c) 2020 Efthymios Alepis, Aristea Kontogianni</text>
              </elementText>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 03 (2020); pp. 38-53</text>
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              <elementText elementTextId="32964">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>smartphone application</text>
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                <text>crowdsourcing</text>
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                <text>mobile signal coverage</text>
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                <text>sensors</text>
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                <text>social application</text>
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                <text>data sharing</text>
              </elementText>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="32971">
                <text>Smartphone Crowdsourcing and Data Sharing Towards Advancing User Experience and Mobile Services</text>
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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>
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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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              <elementText elementTextId="33440">
                <text>Qashlim, Akhmad</text>
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                <text>Basri, Basri</text>
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                <text>Haeruddin, Haeruddin</text>
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                <text>Ardan, Ardan</text>
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                <text>Ilham, Amil Ahmad</text>
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            <description>An account of the resource</description>
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                <text>This research presents the use of smartphone technology to assist fisheries work. Specifically, we designed an Android application that utilizes a camera connected to the internet to detect RGB image objects and then convert them to HSV and gray scale. In this paper, Android-based smartphone technology using image processing methods will be discussed, a digital tool that provides fish detection results in the form of length, width, and weight used to determine the price of fish. This application was created using features provided by the OpenCV library to produce binary images. Three main challenges highlighted during application design including C ++ QT were used to build the user interface, the contour-active method was used to divide and separate image objects from the back-ground, while the clever edge edge method was used to improve the outline ap-pearance of objects. Both methods are implemented on the Android platform and utilize smartphone cameras as an identification tool. This application makes it possible to provide many benefits and great benefits for farm farmers but on the other hand will create technological gaps</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/12423</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33454">
                <text>Copyright (c) 2020 Akhmad Qashlim</text>
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              <elementText elementTextId="33455">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 08 (2020); pp. 150-163</text>
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              <elementText elementTextId="33456">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="33457">
                <text>Library OpenCV</text>
              </elementText>
              <elementText elementTextId="33458">
                <text>Citra Segmentation</text>
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                <text>Android Application</text>
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                <text>Technology Smartphone</text>
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          </element>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Smartphone Technology Applications for Milkfish Image Segmentation Using OpenCV Library</text>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <name>Dataset</name>
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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="25740">
                <text>Hikmat, Ade</text>
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              <elementText elementTextId="25741">
                <text>Mulyono, Herri</text>
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                <text>This paper reports on a small scale investigation into preservice teachers’ multitasking behaviours during a course in a teacher education program (TED). Specifically, it addresses three research questions, 1) how frequent do preservice teachers do multitasks with smartphone, 2) what are the types of preservice teachers’ multitasking behaviour, and 3) to what extent does multitasking behaviour affect preservice teachers’ learning. To this end, we did a classroom observation where smartphone was used to facilitate learning. During the observation, we wrote notes concerning preservice teachers’ multitasking behaviour with their smartphone. In addition, a total of 35 preservice teachers was surveyed. Findings of this study show that 97.14% of preservice teachers do multitasking in class; although the frequency and types of multitasking with smartphone vary. The findings also highlight fifteen types of multitasking behaviour with two most common activities: texting and searching. The analysis of preservice teachers’ responses on the survey as well as the observation data suggest that multitasking behaviour contributes both positively and negatively to preservice teachers’ learning. In reference to the findings, implications of the study to TEP are offered. </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/7345/4861</text>
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          <element elementId="47">
            <name>Rights</name>
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            <elementTextContainer>
              <elementText elementTextId="25750">
                <text>Copyright (c) 2018 Ade Hikmat, Herri M</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 2 (2018); pp. 4-14</text>
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                <text>1865-7923</text>
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                <text>In this paper, we present an Android application, namely BoatSafe, which offers easy and effective navigation of waterways. The data were collected directly from both GPS and the accelerometer sensor, and then these data were processed to determine the user's "Sailing on Water" status through the motions and the position. The software offers some essential features such as: provide the positions, velocities, and heading angle of vehicles at present; save the route for a specific period time; identify the outage of GPS signal; collision warning feature, identify a collision, and call a pre-selected phone number in the event of a collision.</text>
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                <text>Copyright (c) 2020 Duc-Tan Tran</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 18 (2020); pp. 195-203</text>
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                <text>1865-7923</text>
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                <text>Smartphone-Based Sensing for Intelligent Inland Waterway Transportation</text>
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                <text>Wohllebe, Atilla</text>
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                <text>Hübner, Dirk-Siegfried</text>
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                <text>Radtke, Uwe</text>
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                <text>Wohllebe, Arabel</text>
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                <text>With digitization and the spread of smartphones in many areas of life, mobile devices have also become increasingly relevant in education. While comprehensive research exists especially for smartphone use among teenagers and students, the findings for elementary school students are limited. Based on a survey, this case study provides exploratory insights into the smartphone usage behavior of elementary school students in a rural region in northern Germany. The responses of 33 students in grades 3 and 4 (ages 8 to 10) show that many students already own a smartphone at this age and use it daily, sometimes for several hours, especially for gaming and media consumption. The influence of owning an own smartphone on usage and leisure activities is reviewed. School use is of little relevance among the elementary school students surveyed.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22565</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22565/9433</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="42543">
                <text>Copyright (c) 2021 Atilla Wohllebe, Arabel Wohllebe, Dirk-Siegfried Hübner, Uwe Radtke</text>
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              <elementText elementTextId="42544">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 12 (2021); pp. 184-192</text>
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              <elementText elementTextId="42545">
                <text>1865-7923</text>
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            <name>Subject</name>
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                <text>Elementary School</text>
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                <text>Smartphones</text>
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                <text>Education</text>
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                <text>Smartphones and Mobile Apps: Case Study on Usage Behavior of Elementary School Students – Insights from a Rural Area in Northern Germany</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="25048">
                <text>Alwraikat, Mansour A</text>
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                <text>2017-05-22</text>
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                <text>This article will investigate obstacles hindering graduate students use of smartphones in their learning at The University of Jordan. The study employed a descriptive survey research method using a self-administered 21-item questionnaire. Out of the entire population of 1,100 graduate students from the School of Educational Sciences, a randomly purposeful sample of 227 was selected. Individuals within the sample owned smartphones. A total of 108 students responded to the questionnaire. This was 45% of the original study sample during the first semester of the 2016-2017 academic year. The validity and reliability of the questionnaire were both secured. The study’s findings showed that the overall degree level of obstacles reported by graduate students was high. In addition, there were no statistically significant differences in student estimates of obstacles due to their gender, age, place of work, first degree (BA), or computer skills. The researcher offered  suggestions for overcoming these obstacles in light of the student estimates.</text>
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                <text>10.3991/ijim.v11i4.6759</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/6759/4414</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="25057">
                <text>Copyright (c) 2017 Mansour A Alwraikat</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 4 (2017); pp. 114-135</text>
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                <text>1865-7923</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="25060">
                <text>Mobile Learning</text>
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                <text>Smartphone</text>
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                <text>Students</text>
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                <text>The University of Jordan</text>
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                <text>Smartphones as a New Paradigm in Higher Education Overcoming Obstacles</text>
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