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                <text>Alqahtani, Maha</text>
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                <text>Mobile learning or “m-learning” is the process of learning when learners are not at a fixed location or time and can exploit the advantage of learning opportunities using mobile technologies. Nowadays, speech recognition is being used in many mobile applications. Speech recognition helps people to interact with the device as if were they talking to another person. This technology helps people to learn anything using computers by promoting self-study over extended periods of time. The objective of this study is focusing on designing and developing a mobile application for the Arabic recognition of spoken Quranic verses. The application is suitable for Android-based devices. The application is called Say Quran and is available on Google Play Store. Moreover, this paper presents the results of a preliminary experimentation to gather feedback from students regarding the developed application</text>
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                <text>Copyright (c) 2017 Maha Alqahtani, Ayham Fayyoumi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 9 No. 1 (2015); pp. 19-22</text>
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                <text>1865-7923</text>
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                <text>Arabic Speech Recognition</text>
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                <text>Mobile Application Development for Quran Verse Recognition and Interpretations</text>
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                <text>Nuanmeesri, Sumitra</text>
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                <text>Using spoken language is the easiest and most natural way of communication for human beings. The communication between humans and machines using sounds or language is a huge move forward. This article demonstrates the development of a mobile application for managing household accounts with the integration of a speaking voice and touch-screen function on smartphones; this could also be used as a tool to manage household accounts for elderly Thai people. The content was evaluated by five experts to identify each feature of the developed mobile application. Afterwards, the developed mobile application was distributed to thirty-three elderly people. The findings showed that the elderly people were able to learn and use the mobile application effectively. The learning post-test results scored higher than the pre-test results. The effectiveness evaluation results in terms of the accessibility barriers that can be faced by elderly people while using mobile applications showed that the average mean was 4.13 and the standard deviation was 0.36 and the acceptance of the mobile application based on accessibility barriers that could be detected by elderly people while being used has high consensus. This indicates that the developed mobile application is effective for elderly users at a high level.</text>
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                <text>Copyright (c) 2020 Sumitra Nuanmeesri</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 02 (2020); pp. 84-100</text>
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                <text>1865-7923</text>
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                <text>Mobile Application Development of Managing Elderly Household Accounts Using Speech Recognition</text>
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                <text>Cabanillas-Carbonell, Michael</text>
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                <text>The pandemic is currently forcing several countries to take certain restrictions on public transportation to prevent the spread of the virus, Peru is in the aforementioned phase, so many users who continue to use public transportation on a daily basis to get to work, home, supermarkets, among other activities, must stay informed to comply with these requirements. In this context, the mobile application was developed to help the proper management of information of the sanitary measures of the Covid-19 in the area of public transport for the city of Lima, and this is compatible with Android and iOS; likewise, the Mobile-D methodology, helped to make such mobile application and to know the phases to proceed with the implementation, which has an impact on time, information management and user satisfaction. The results of the present document show that the level of user satisfaction increased to 67.5% of a sample of 200 people as the experimental group. It was concluded that the application made it possible to automate the management of information on Covid-19 sanitary measures in the field of public transportation.</text>
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                <text>Copyright (c) 2022 Harold Paucarcaja-Ochoa , Jhanery Martos-Olazabal , Fernando Sierra-Liñan , Michael Cabanillas-Carbonell</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 12 (2022); pp. 4-17</text>
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                <text>1865-7923</text>
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                <text>public transport</text>
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                <text>Mobile Application for the Management of Covid-19 Health Measures on Public Transport Lines</text>
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                <text>ALFarsi, Ghaliya Muslem</text>
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                <text>Jabbar, Jasiya</text>
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                <text>M Tawafak, Ragad</text>
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                <text>Iqbal, Sohail</text>
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                <text>Alsidiri, Abir</text>
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                <text>Alsinani, Maryam</text>
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                <text>bte Sulaiman, Hidayah</text>
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                <text>Smartphones and applications are one of the most used things in learning and management systems. They make everyone connected with society, and those who feel sorry for it, especially college students are always looking for things that benefit them at a university. In this research, there is a need to apply a new application for student education service with an easy way of managing data and generate progression on reports feedback in his or her university life. We conducted a survey with the students of Al Buraimi University College and we reached a positive result that helps in the work. Smartphones have become pervasive and sales of all categories have many functions, in search (application of mobile-based devices in education design) to talk about applications in smart devices that serve education and take their information for management purpose and ease of use and follow them in any way.</text>
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                <text>Copyright (c) 2020 Ghaliya Musallam ALFarsi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 09 (2020); pp. 79-94</text>
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                <text>1865-7923</text>
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                <text>Smartphones</text>
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                <text>Al-zubidi, Azhar</text>
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                <text>F. AL-Bakri, Nadia</text>
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                <text>K. Hasoun, Rajaa</text>
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                <text>Hassan Hashim, Soukaena</text>
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                <text>Alrikabi, Haider Th.Salim</text>
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                <text>Various mobile applications such as Mobile Health (mHealth) have been developed and spread across the world which has played an important role in mitigating the Coronavirus pandemic (COVID-19). As the COVID-19 pandemic spreads, several people have drawn parallels to influenza. While both viruses cause respiratory infections, they propagate in very different ways. This has a major impact on the public health measures that can be used to fight each virus. These viruses are pandemic-causing in the same way. That is, they both cause respiratory disease, and can present themselves in several ways, ranging from asymptomatic to severe and deadly. A proposal is presented in this paper that uses two algorithms to define and classify these pandemics, they are: The Back Propagation (BP) classification algorithm and the Fuzzy C-Mean (FCM) clustering algorithm. Two stages are implemented in the proposed system: in the first step, the FCM algorithm is used to find out the type of virus, and this algorithm is capable of handling ambiguous features of viruses. In the second step, a BP neural network is used as a classifier to detect the pandemic class. The proposed system was trained and tested using a well-known dataset (covid-19 vs influenza). Information Gain (IG) is used to optimize the related features that affect the classification process to improve speed and accuracy.  The proposed mobile application is developed to support users easily detecting the COVID-19 infection by inputting the medical tests as significant features to the proposed system. The proposed system's accuracy is up to (89%), the framework was created using the Matlab programming environment and an Android Studio for Mobil application designing.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/24195</text>
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                <text>10.3991/ijim.v15i16.24195</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/24195/9753</text>
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            <name>Rights</name>
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                <text>Copyright (c) 2021 Haider Th.Salim Alrikabi, Azhar Al-zubidi, Nadia F. AL-Bakri, Rajaa K. Hasoun, Soukaena Hassan Hashim</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 34-51</text>
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                <text>1865-7923</text>
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                <text>COVID-19</text>
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                <text>Fuzzy C-Mean (FCM)</text>
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                <text>Propagation (BP) classification</text>
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                <text>Mobile Application to Detect Covid-19 Pandemic by Using Classification Techniques: Proposed System</text>
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              <elementText elementTextId="26587">
                <text>Karabatzaki, Zoe</text>
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                <text>Stathopoulou, Agathi</text>
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                <text>Dimitriou, Eleni</text>
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                <text>Loukeri, Paraskevi Ioanna</text>
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                <text>Economou, Alexandra</text>
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                <text>Drigas, Athanasios</text>
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                <text>Technology has the potential to improve many aspects of our daily lives, including learning. It has been proven to increase student engagement and learning outcomes. With recent advances in the capabilities of smart mobile devices and their growing penetration rate among the student cohort, it is possible to take advantage of these devices to design appropriate exercises and tools that foster student’s knowledge and learning. In this paper we present some of the most well known mobile procedures that are used for secondary students in order to promote their learning and their skills. Additionally, its role in secondary students who face learning and other difficulties is investigated. Lastly, the results of a study that examined whether there is a relationship between the performance of secondary school Greek students in the language lesson, in mathematics lesson and index of verbal intelligence, index of intelligence practice and general index of intelligence are showed thoroughly.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/8158</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2018 Athanasios Drigas, Zoe Karabatzaki, Agathi Stathopoulou, Georgia Kokkalia, Eleni Dimitriou, Paraskevi Ioanna Loukeri, Alexandra Economou</text>
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              <elementText elementTextId="26603">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 2 (2018); pp. 142-161</text>
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              <elementText elementTextId="26604">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
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                <text>mobile technology</text>
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                <text>secondary education</text>
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                <text>high order thinking skills</text>
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                <text>special education</text>
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                <text>Mobile Application Tools for Students in Secondary Education. An Evaluation Study.</text>
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                <text>Beltozar-Clemente, Saul</text>
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                <text>Zapata-Paulini, Joselyn</text>
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                <text>The post-pandemic period brought with it new challenges for both businesses and private health centers, many of which were affected by the loss of customers. In the case of dental centers, many were affected by the distrust of customers, since activities performed in the oral cavity exposed them to the contagion of Covid-19. This research work proposes the implementation of a mobile application with Augmented Reality (AR) as a strategy for digital marketing immersion, with the aim of achieving a dynamic approach to the services provided in the dental center to customers, this is through the use of this technology in conjunction with social networks, contributing to the improvement of the business and building trust with customers. The application was developed under the Mobile-D methodology with a layered system development architecture, having as indicators the time of elaboration of the advertisement, the cost of information material, the time to inform the services, and the level of customer satisfaction. Finally, the results revealed that the time of elaboration of the advertisement decreased from 25 hours to 14 hours, the cost of informative material was considered "low" since the implementation of the application turns out to be economic, and the time to inform the services in its marketing process went from 30 min to 19 min with the use of the application, finally, the customer satisfaction increased being considered in 87% between "Good" and "Excellent".</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/35213</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2023 Saul Beltozar-Clemente, Fernando Sierra-Liñan , Joselyn Zapata-Paulini, Michael Cabanillas-Carbonell</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 03 (2023); pp. 188-203</text>
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                <text>1865-7923</text>
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                <text>dental center</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>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>Mobile Application with Arduino to Improve the Determination of the Ripening Status of the Fruit</text>
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                <text>Nuñez-Lopez, Arturo</text>
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                <text>Education in current times has taken leaps and bounds, so the use of traditional classrooms in conjunction with textbooks and static 2D images is no longer enough, even more so in the teaching of human anatomy, which requires images, didactic methods, and easy understanding. In that sense, Augmented Reality (AR) is a technological tool that takes on great importance in various areas and education is no exception. For this reason, this research describes the results of the development of an application with AR focused on helping in the study of human anatomy, being developed with ARCore technology and the Unity IDE, following the Mobile-D methodology. The results were analyzed in 3 indicators (amount of light required, time required for surface recognition, and ease of use of the application), of which in the first indicator a good performance was obtained requiring only 30 lux for recognition of illuminated flat surfaces; for the second indicator, it was obtained that the delay time is 3 seconds, which makes it acceptable; for the third indicator, it was obtained that 93% of participants interviewed in the research agreed that the application is easy to use and very easy to use. From the developed application was concluded that this, in general terms, has good performance in the sections of the amount of light required, the time required, and ease of use.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/34709</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2022 Michael Cabanillas-Carbonell, Diego Basurco-Reyes, Arturo Nuñez-Lopez, Fernando Sierra-Liñan , Joselyn Zapata-Paulini</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 24 (2022); pp. 47-58</text>
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                <text>1865-7923</text>
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                <text>Mobile Application with Augmented Reality Focused on the Study of Human Anatomy</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>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>Information about rights held in and over the resource</description>
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                <text>Copyright (c) 2022 Michael Cabanillas-Carbonell, Piero Cusi-Ruiz, Daniela Prudencio-Galvez, José Luis Herrera Salazar</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 11 (2022); pp. 51-64</text>
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                <text>1865-7923</text>
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                <text>Mobile Application with Augmented Reality to Improve the Process of Learning Sign Language</text>
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