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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Hasan, Raza</text>
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                <text>Palaniappan, Sellappan</text>
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                <text>Malali Rajegowda, Puttaswamy</text>
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                <text>The study investigates the nature and degree of influence of the range of application usability variables on the learning experience of the students at a specific institution of higher education institution in Oman. The study was carried out via eDify implementation encompassing the usability variables and learning experience of the students. Literature does little to suggest the aforementioned relationship in the context of the Omani higher education. The current study would reveal the variables that are critical to effective technology-based learning of the students. The implications generated through the study would allow the institution involved in the study to effectively implement the variables required for enhanced teaching and learning. The methodology used in the study is divided into an exploratory and the main research. Principal component analysis and a range of regression analyses are conducted to test the relationships between the independent and the dependent variable, “learning experience”. Results suggest that the usability variables have both positive and significant effects on the dependent variable of the learning experience. One usability variable that stands out more than others is the usage of mobile media.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/20245</text>
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                <text>Copyright (c) 2021 Raza Hasan, Sellappan Palaniappan, Salman Mahmood, Kamal Uddin Sarker, Ali Abbas, Mian Usman Sattar, Vikas Rao Naidu</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 11 (2021); pp. 49-65</text>
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                <text>1865-7923</text>
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                <text>Mobile Applications</text>
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                <text>Mobile Learning</text>
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                <text>eDify: Enhancing Teaching and Learning Process by Using Video Streaming Server</text>
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                <text>Khalil, Z.H.</text>
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                <text>Abbas, Amel H.</text>
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                <text>Different models had been developed to predict crop yields based on remotely sensed data. Most approaches were based on developing empirical relationships between the Satellite based Normalized difference vegetation index NDVI data and the crop yield. This article proposes to introduce methodological framework for constructing an object-oriented yield prediction model using satellite data based on the two-level regression models; with taken into consideration the trend caused by the influence of technological improvements. Regression models for the wheat and barley crop yield predictions have been developed for twenty-seven typical districts in the Voronezh region. The two-level regression model, including FSR technique firstly to select the set of features that reflect the spatial variations in crops, soil, agriculture management within districts, after carry out the steps of exploratory data analysis EDA, objects creation and zonal average of each object. Whereas the second level consist of yield prediction with multiple linear regression MLR, Least Absolute Shrinkage and Selection Operator Lasso, Support vector machines SVM techniques. The absolute error between the predicted and observed yields of 2011-2014 years was not exceed 19(16) centner/ha for wheat(barley) at worst case. In spite of that the SVM technique outperforms rest techniques by average RMSE of 5.59(4.51) for wheat(barley).</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/33269</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/33269/11829</text>
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                <text>Copyright (c) 2022 Haider Th.Salim Alrikabi; Z.H.  Khalil, Amel H.  Abbas</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 15 (2022); pp. 140-156</text>
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                <text>1865-7923</text>
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                <text>Voronezh, Remote sensing, NDVI, Machine learning, Feature selection.</text>
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                <text>Object-oriented Model to Predict Crop Yield Using Satellite-based Vegetation Index</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <name>Dataset</name>
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              <elementText elementTextId="36399">
                <text>Abbasi, Ghazanfar Ali</text>
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                <text>Su-Yee, Sea</text>
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                <text>Goh, Yen-Nee</text>
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                <text>The purpose of this paper is to propose and test an integrated model of mobile advertising taking into consideration the exclusive characteristics of Malaysian consumers. The survey research method has been used to collect data among young mobile users in Malaysia. A partial least squares structural equation model (PLS-SEM) technique is employed to analyse the data. The results show that perceived usefulness, perceived ease of ease, irritation, entertainment, and credibility emerge as significant belief factors positively influencing attitude in of Malaysian consumers. Irritation, on the other hand, negatively predicts attitude. Attitude toward mobile advertising and subjective norm emerge as the strong predictors of the consumers’ intention to purchase products and services as advertised in mobile advertising. The findings are particularly relevant to international marketing managers. To effectively reach Asian consumers through mobile, increasing credibility, perceived ease of use, perceived usefulness, subjective norm and entertainment values are the keys. Based on the established advertising theories, this study proposes an integrated model to examine how users’ attitude and social factor affect mobile advertising effectiveness among Malaysian consumers. This research provides insights into the effectiveness and of the novel mobile medium as compared to orthodox mediums. Also, this study excavates the understanding of advertising hierarchy effects in an international setting by examining the importance of each variable in an emerging Asia-Pacific country like Malaysia. The study answers such a call.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/14955</text>
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                <text>10.3991/ijim.v14i15.14955</text>
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                <text>eng</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/14955/7761</text>
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                <text>Copyright (c) 2020 Ghazanfar ali Abbasi, See Su Yee, Yen-Nee Goh</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 15 (2020); pp. 95-110</text>
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                <text>1865-7923</text>
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                <text>Perceived Usefulness</text>
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                <text>An Integrative Approach for Determining Consumers Mobile Advertising Related Attitudes and Intentions</text>
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                  <text>Artha Journal of Social Sciences</text>
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                <text>Abbasi, Parvin</text>
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                <text>The present study investigated elementary school teachers' competency in relation to their sex and age in India and Iran. 484 teachers were selected through Simple Random Sampling from elementary schools of Mysore city (India) and Arak city (Iran). Subjects consisted of 187 men and 297 women. The tool of study was 'Teachers Competency Scale' developed by investigators. Results revealed that female teachers are more competent in some dimensions of competency. Also, it was found that age has no influence on teachers' competency.</text>
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              <elementText elementTextId="4430">
                <text>Copyright (c) 2016 Artha - Journal of Social Sciences</text>
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                <text>Artha Journal of Social Sciences; Vol. 2 No. 2 (2004): Artha Journal of Social Sciences; 23-30</text>
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                <text>A Comparative Study OF Elementary School Teachers Competency in Relation to Sex and Age in India and Iran</text>
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                <text>Almotairy, Bodor Moheel</text>
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                <text>Abstract— Social media are widely used as communication platforms in the world of business. Twitter, in particular, offers valuable opportunities for collaboration due to its open nature. For that, many entrepreneurs employ Twitter for different reasons, such as mobilizing financial resources, get funding, and increase their innovation capabilities. Therefore, they keep looking for local entrepreneurial accounts to help them. Messages from entrepreneurial influencers -opinion leader- increase the information diffusion to entrepreneurs, helping them to find more opportunities. Discovering the characteristics of entrepreneurial influencers in Twitter networks becomes extremely important since it reflects the way to reach entrepreneurs. In the present paper, we propose a novel framework called ECharacterize based on feature selections techniques to discover the characteristics of the entrepreneurial influencer in the Saudi context in a robust manner. The framework extracts abundant influencers’ features and then employs seven state-of-the-art ranking methods to determine the characteristics of the most relevant influencer. It robustly aggregates the lists to come out with the accurate final list using Robust Rank Aggregation. The framework examined on 233,018 real-life Arabic tweets. The results show the ability of the proposed method to distinguish between the influencers by their popularity, reliability and activity level.   </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/14807/7357</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="36257">
                <text>Copyright (c) 2020 Bodor Moheel Almotairy, Manal Abdullah, Rabeeh Abbasi</text>
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              <elementText elementTextId="36258">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 10 (2020); pp. 74-89</text>
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              <elementText elementTextId="36259">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="36260">
                <text>Twitter</text>
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                <text>characteristics of influencers</text>
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                <text>entrepreneurial influencers</text>
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                <text>robust ranked list.</text>
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                <text>ECharacterize: A Novel Feature Selection-Based Framework for Characterizing Entrepreneurial Influencers in Arabic Twitter</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="48662">
                <text>Alaidi , Abdul Hadi M.</text>
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                <text>Al_airaji, Roa'a M.</text>
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                <text>Alrikabi, Haider Th.Salim</text>
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                <text>Aljazaery, Ibtisam A.</text>
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                <text>Abbood, Saif Hameed</text>
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                <text>Dark web is a canopy concept that denotes any kind of illicit activities carried out by anonymous persons or organizations, thereby making it difficult to trace. The illicit content on the dark web is constantly updated and changed. The collection and classification of such illegal activities are challenging tasks, as they are difficult and time-consuming. This problem has in recent times emerged as an issue that requires quick attention from both the industry and academia. To this end, efforts have been made in this article a crawler that is capable of collecting dark web pages, cleaning them, and saving them in a document database, is proposed. The crawler carries out an automatic classification of the gathered web pages into five classes. The classifiers used in classifying the pages include Linear Support Vector Classifier (SVC), Naïve Bayes (NB), and Document Frequency (TF-IDF). The experimental results revealed that an accuracy rate of 92% and 81% were achieved by SVC and NB, respectively.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/30209</text>
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                <text>10.3991/ijim.v16i10.30209</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/30209/11355</text>
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              <elementText elementTextId="48675">
                <text>Copyright (c) 2022 Haider Th.Salim Alrikabi, Abdul Hadi M.  Alaidi , Roa'a M.  Al_airaji, Ibtisam A.  Aljazaery, Saif Hameed  Abbood</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 10 (2022); pp. 122-139</text>
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              <elementText elementTextId="48678">
                <text>1865-7923</text>
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                <text>Linear Support Vector Classifier, dark Web, Naïve Bayes</text>
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                <text>Dark Web Illegal Activities Crawling and Classifying Using Data Mining Techniques</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="43072">
                <text>Ahmed, Shaymaa Taha</text>
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                <text>Kadhim, Qusay Kanaan</text>
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                <text>Alsultani, Hamid Sadeq Mahdi</text>
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                <text>abd almahdy, Widyan Salman</text>
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                <text> This paper researches the evolution process of what is called two-factor authentication technique and its adaptation related to the educational system through the Internet. This technique is a measure of security employed, particularly in scopes which have valuable information like bank services. It witnesses developments so far as today, in parallel with the developments occurring in technology. Since this technique consists of two phases, the security is going to be developed. Today, bank services, devices using the Internet of things, tickets of public transportation and lots of other scopes are utilized. In the information field, the researchers and scientists always update the techniques of two-factor authentication to resist the attacks related to security. Last years, the researchers studied novel technologies like behavioral biometric or biometrics. The training through the Internet may become much more useful than going to someplace to study a specific course. Mostly, the participants in the trainings through the Internet get many certificates for success, participation, etc. The principal problem is how to certify the truthiness of the participant who desires to get the certification. In this paper, and by researching the techniques of two-factor authentication, the Mimic Control Method with Sound Intensity (MCMSI) is proposed to be used for the training through the Internet.</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/23227/9551</text>
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                <text>Copyright (c) 2021 qusay kadhim</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 13 (2021); pp. 162-171</text>
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                <text>1865-7923</text>
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                <text>Applying the MCMSI for Online Educational Systems Using the Two-Factor Authentication</text>
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                <text>This paper presents the framework for developing a Mobile Augmented Reality (MAR) for learning Chemical Bonds, which is believed to reduce misconceptions among the students. Misconceptions always occur in classrooms, especially in science subject’s which consist of abstract concepts. It is very important that these misconceptions be reduced, because they may affect the student’s understandings of topics they have learned about. These may interfere with the student’s education, and may also affect the student’s performances afterwards. Visualization is one key approach that has been proven to help when seeking to improve the understanding of students, which has consequently led to a reduction in misconceptions. There are many technologies that have been integrated within education, and that show strong potential for producing visualizations. One of the recent popular technologies that have the potential for visualization is Mobile Augmented Reality. Mobile Augmented Reality has the ability to visualize abstract concepts through 3D images</text>
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                <text>Copyright (c) 2019 NOR FARHAH SAIDIN, NOOR DAYANA ABD HALIM, NORAFFANDY YAHAYA</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 07 (2019); pp. 54-68</text>
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                <text>1865-7923</text>
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                <text>Framework for Developing a Mobile Augmented Reality for Learning Chemical Bonds</text>
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                <text>Hamzah, Norhasyimah</text>
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                <text>Abd Halim, Noor Dayana</text>
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                <text>Hassan, Mohammad Hafiz</text>
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                <text>The existence of mobile learning application has provided an opportunity for Islamic knowledge to be delivered widely. Accordingly, Muslim application developers have been developing Islamic-based applications for learning about hadith, prayer (solat), and Quran recitation, to list a few. The solat is the pillar of worship that helps Muslims to become better people. Therefore, it is the responsibility of parents to teach their children about solat, particularly when the latter reach the early age of seven. This study aims to (i) develop and incorporate a prayer-learning application that has multimedia elements in order to attract young users and (ii) assess the reliability of the application for children.  A learning application can serve as a new method for learning about how to perform a solat. In this approach, solat can be taught digitally using a portable platform, including Android. In this study, an android learning application was developed using Waterfall methodology which consists of five phases: idea, analysis, design, development, evaluation, and final product.  Adobe Flash Professional CS6 was chosen as a development platform. The application consists of four modules: “Let’s Pray,” “Five Times Prayer,” “Doa’ After a Prayer,” and “Mind Test.â€�  To authenticate the application, the researchers collected data from expertise (lecturers) from the Faculty of Technical and Vocational Education and Faculty of Science, Technology, and Human Development. These respondents were selected through targeted sampling. The result concludes that the application is suitable for new learners to learn about performing a solat.</text>
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              <elementText elementTextId="30284">
                <text>Copyright (c) 2019 Norhasyimah Hamzah, Noor Dayana Abd Halim, Mohammad Hafiz Hassan, Arihasnida Ariffin</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 07 (2019); pp. 69-79</text>
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                <text>1865-7923</text>
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                <text>Android application</text>
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                <text>Learning Basic Solat</text>
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                <text>Childhood</text>
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                <text>Android Application for Children to Learn Basic Solat</text>
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              <elementText elementTextId="46268">
                <text>Abd Halim, Noor Dayana</text>
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                <text>Hong, Ong Ace</text>
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                <text>Zulkifli, Nurul Nadwa</text>
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                <text>Jumaat, Nurul Farhana</text>
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                <text>Mohd Zaid, Norasykin</text>
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                <text>Mokhtar, Mahani</text>
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                <text>The development of education is changing in line with the development of current technology, and these developments have influenced many innovations in teaching and learning methods. Many technology-based games have been introduced in the market; however, not all games are suitable for student learning. This is because the features of a game must have an impact on education; it is essential to choose a game based on appropriate criteria for education. Therefore, this paper describes the integration process of game-based learning features outlined by Alaswad and Nadolny (2015), which are goal,    interaction and feedback. The three features are designed in a learning kit called the “Kit Pengembara” for learning the topic of “Arah Mata Angin” and     “Bearing Sudutan”, the subject of Geography Form 1. In addition, this Kit Pengembara also integrates the UniteAR application for user to complete a  given task using augmented reality. Therefore, this paper can provide an overview to educators in the form of their educational innovations that integrate technology to increase student engagement.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2021 Noor Dayana Abd Halim</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 02 (2022); pp. 4-16</text>
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                <text>1865-7923</text>
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                <text>Game-based Learning</text>
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                <text>Geography</text>
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                <text>Designing Game-Based Learning Kit with Integration of Augmented Reality for Learning Geography</text>
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