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                <text>Divayana, Dewa Gede Hendra</text>
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                <text>Through the use of information technology, the students no longer find it difficult to look for sources/learning materials, interact and discuss with each other any time and any where they are.  One form of the roles of information technology which can facilitate students in individual learning, group learning and learning together with the teacher in the classroom and outside of the classroom is blended learning. The fact in schools shows that not all of the learning process can be optimized by using blended learning. Therefore, there is a need to evaluate comprehensively any time and any where they are (evaluators). For this purpose, the appropriate evaluation model to be used is mobile phone-based CIPP. By using this model, then the evaluator can study evaluating the use of blended learning overall through of the context, input, process and product that will be able to provide appropriate recommendations for the improvement of the learning process using blended learning in school.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6796</text>
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                <text>Copyright (c) 2017 Dewa Gede Hendra Divayana, Dewa Bagus Sanjaya</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 4 (2017); pp. 149-159</text>
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                <text>1865-7923</text>
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                <text>Blended Learning</text>
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                <text>Mobile Phone-Based CIPP Evaluation Model in Evaluating the Use of Blended Learning at School in Bali</text>
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                <text>Tovares, Alla V.</text>
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                <text>Gordon, Cynthia</text>
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                <text>Al Zidjaly, Najma</text>
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                <text>The unprecedented expansion of wireless technologies and the global pandemic of 2020-2021, which forced many educational establishments out of traditional face-to-face and into online instructional environments, have created an urgency for achieving a better understanding of the various education-related uses of mobile phones, and students’ attitudes toward them, worldwide. We conducted a questionnaire-based study to explore college undergraduate students’ perceptions and uses of mobile phones, with a focus on instructor-student communication and classroom use, across three diverse cultural contexts: Ukraine, Oman, and the United States. Based on our findings, we suggest that conceptualizing mobile phones as cultural tools and situating their use within cultural discourses illuminates how – and explains why – mobile phones are not “the same” tools for all students. The findings offer insights into students’ (developing) perspectives on uses of mobile phones, and provide grounds from which to formulate productive, and culturally appropriate, means of using them for educational purposes. </text>
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                <text>Copyright (c) 2021 Alla V. Tovares, Cynthia Gordon, Najma Al Zidjaly</text>
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              <elementText elementTextId="41963">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 10 (2021); pp. 118-137</text>
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              <elementText elementTextId="41964">
                <text>1865-7923</text>
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            <description>The topic of the resource</description>
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                <text>mobile phones</text>
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                <text>professor-student communication</text>
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                <text>m-teaching and learning</text>
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                <text>Mobile Phones in Classrooms and in Professor-Student Communication: Ukrainian, Omani, and U.S. American College Students’ Perceptions and Practices</text>
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            <name>Creator</name>
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              <elementText elementTextId="21128">
                <text>Miramontes Meza, Ramses</text>
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                <text>Escamilla del Río, Laura Victoria</text>
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              <elementText elementTextId="21130">
                <text>Aquino Santos, Raúl Teodoro</text>
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                <text>2013-10-12</text>
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                <text>Existing home automation technologies permit persons to control elements of the home using a computer connected to a local network. However, the real challenge is to remotely control objects, permitting users to exercise greater freedom and versatility. This work presents an inexpensive controller device developed for high density constructions typical of many developing countries throughout the world that is designed to remotely control home luminescence, air conditioner and water pumps through mobile devices such as a smart phone or tablet. Results show the packet delivery was acceptable within a range of 15 meters in a concrete, two-story dwelling, thus demonstrating its applicability in small homes in countries which share the same construction features as those of Mexico.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/3178</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/3178/2839</text>
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              <elementText elementTextId="21139">
                <text>Copyright (c) 2017 Ramses Miramontes Meza, Laura Victoria Escamilla del Río, Raúl Teodoro Aquino Santos</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 7 No. 4 (2013); pp. 21-26</text>
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                <text>1865-7923</text>
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                <text>domotic</text>
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                <text>Mobile Remote Control for Home Automation</text>
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              <elementText elementTextId="25003">
                <text>Akinboro, Solomon Adegbenro</text>
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                <text>Adeyiga, Johnson A</text>
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                <text>Omotosho, Adebayo</text>
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                <text>Akinwumi, Akinwale O</text>
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                <text>Vehicular traffic is continuously increasing around the world, especially in urban areas, and the resulting congestion has become a major concern to automobile users. The popular static electric traffic light controlling system can no longer sufficiently manage the traffic volume in large cities where real time traffic control is paramount to deciding best route. The proposed mobile traffic management system provides users with traffic information on congested roads using weighted sensors. A prototype of the system was implemented using Java SE Development Kit 8 and Google map. The model was simulated and the performance was assessed using response time, delay and throughput. Results showed that, mobile devices are capable of assisting road users’ in faster decision making by providing real-time traffic information and recommending alternative routes.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/6745</text>
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              <elementText elementTextId="25015">
                <text>Copyright (c) 2017 Solomon Adegbenro Akinboro, Johnson A Adeyiga, Adebayo Omotosho, Akinwale O Akinwumi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 5 (2017); pp. 147-160</text>
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                <text>1865-7923</text>
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              <elementText elementTextId="25018">
                <text>Congestion</text>
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                <text>Traffic Control</text>
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                <text>Mobile Devices</text>
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                <text>Alternative routes</text>
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                <text>road users.</text>
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                <text>Mobile Road Traffic Management System Using Weighted Sensor</text>
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                <text>Vucetic, Zoran</text>
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                <text>Odadzic, Borislav</text>
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                <text>What is in common for the majority of young people? Mobile phone.
In epoch of rapid development of information technologies the time came in which only few people do not have mobiles, especially among young people in high schools. Researches which we made in our school say that this percentage (rate) is really high 99,23% at this moment. The educational institutions should use this opportunity. In aim to improve the success of students the mobile service is developed, which will be described in this work. 
This is first result which provides a cognitive tool which is supporting the independent learning by applying mobile phones with wireless communication technology to extend learning outside of the classroom in Serbia.
The service was developed during times when we didnâ??t know anything about how much and in which way m-learning was being used in the world.</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <elementTextContainer>
              <elementText elementTextId="18324">
                <text>Copyright (c) 2017 Zoran Vucetic, Borislav Odadzic</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 4 No. 2 (2010); pp. 29-33</text>
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              <elementText elementTextId="18326">
                <text>1865-7923</text>
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          <element elementId="49">
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                <text>mobile learning</text>
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                <text>education</text>
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                <text>G. Baby Saral</text>
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                <text>R. Priya</text>
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                <text>Mobile Screen spent by teenage who use lot of time on screen experience psychiatric problems such as frustration, fatigue, depression, anxiety, and so on. Matplotlib pyplot with histogram figure is used to evaluate the psychiatric condition data (CSV file). For the purpose of rating the condition data, the standard deviation and mean are determined. For data analysis, there is a correlation matrix that compares every row and column. Gradient Booster, Logistic Regression, Knn algorithm is used to compare the precision of the machine learning process, which merged the characteristics of addictive and non-addictive data to find rating disorders.</text>
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              <elementText elementTextId="54095">
                <text>Copyright (c) 2023 G. Baby Saral, R. Priya</text>
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              <elementText elementTextId="54097">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 17 No. 04 (2023); pp. 144-151</text>
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                <text>1865-7923</text>
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              <elementText elementTextId="54099">
                <text>Data Science, Gradien Booster, logistic regression, Pyplot.</text>
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                <text>Mobile Screen Addiction Using Addictive Attribute by Combination of Algorithm-In Addiction Disorder</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="16225">
                <text>Diso, Lukman Ibraheem</text>
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                <text>This paper compares the M-Learning programmes of the two largest (in terms of network coverage) and pioneering mobile service providers (MTN and CELTEL/V-Mobile in Nigeria.  It examines their services within the context of a generally deteriorating learning environment.  It also compares the extent of their compliance with the transmission code of the Nigeriaâ??s regulatory agency, the Nigerian Communications Commission (NCC).  Unstructured interview, content analysis, and observation are the major instruments used to collect all data for this study.  All the data collected through these instruments are carefully analyzed vis-à-vis the Nigerian environment and the mobile service transmission regulatory provisions.</text>
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              <elementText elementTextId="16234">
                <text>Copyright (c) 2017 Lukman Ibraheem Diso</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 2 No. 1 (2008)</text>
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                <text>1865-7923</text>
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                <text>Celtel-Nigeria</text>
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                <text>M-learning-Nigeria</text>
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                <text>Mobile Service Providers and M-learning in Nigeria: Mobility in a Contracting Space</text>
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                <text>Obukhov, Artem</text>
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                <text>Dedov, Denis</text>
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                <text>Siukhin, Alexander</text>
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                <text>Arkhipov, Alexey</text>
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                <text>2020-05-20</text>
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                <text>The current problem in the process of training miners is to ensure the mobility and the ability to perform exercises not only on simulators, but also in real conditions of the mine. Therefore, the software and hardware platform of the training complex should include not only imitators of isolating breathing apparatus for developing proper breathing skills in self-rescuers, but also mobile control systems. This will allow carrying out the learning process in conditions similar to real, will increase usability by eliminating wired data transfer interfaces. In addition, the mobile control system of the simulator monitors the trainee's state indicators in real time in an understandable form for him on a wristband or watch. For the implementation of software and hardware of such system, appropriate structural and functional models were developed, including patterns of interaction between components, data transfer and processing processes. On their basis, a software and hardware implementation of a mobile simulator control system is carried out. The results can be applied in the development of mobile controls in various software and hardware platforms.</text>
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                <text>Copyright (c) 2020 Artem Obukhov, Denis Dedov, Alexander Siukhin, Alexey Arkhipov</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 08 (2020); pp. 32-42</text>
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                <text>1865-7923</text>
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                <text>Computer Supported Cooperative Work (CSCW) is an established subset of the field of Human Computer Interaction that deals with the how people use computing technology to enhance group interaction and collaboration. Mobile CSCW has emerged as a result of the progression from personal desktop computing to the mobile device platforms that are ubiquitous today.
CSCW aims to not only connect people and facilitate communication through using computers; it aims to provide conceptual models coupled with technology to manage, mediate, and assist collaborative processes. Mobile CSCW research looks to fulfil these aims through the adoption of mobile technology and consideration for the mobile user. Facilitating collaboration using mobile devices brings new challenges. Some of these challenges are inherent to the nature of the device hardware, while others focus on the understanding of how to engineer software to maximize effectiveness for the end-users. This paper reviews seminal and state-of-the-art cooperative software applications and development frameworks, and their support for mobile devices.</text>
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                <text>Copyright (c) 2017 David Johnson</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 7 No. 2 (2013); pp. 54-62</text>
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                <text>1865-7923</text>
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                <text>CSCW</text>
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                <text>Mobile Support in CSCW Applications and Groupware Development Frameworks</text>
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                <text>Pugliese, Michael William</text>
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                <text>Mobile health (mHealth) technology represents a means through which more stroke survivors could access early stroke rehabilitation. Although rehabilitation is most effective when begun early post-stroke, limited resources (facilities, therapists) prevent survivors from initiating therapy. Furthermore, the coupling of an aging population with advances in acute therapy has led to an increase in the absolute number of individuals suffering from and surviving strokes which in turn has put further strain on already scarce rehabilitation resources. There is an urgency to conduct high-quality research exploring cost-effective and creative mHealth devices for early rehabilitation in the acute setting. Mobile technology allows therapists to prescribe apps based on standard cognitive/physical assessments in the acute setting, remotely monitor patient progress across individual carepaths, and update prescribed therapies based on patient feedback and recovery. Recognition of the growing problem of accessing early stroke rehabilitation, and the possibilities offered by mHealth technology led to the development of the RecoverNow platform for stroke rehabilitation in the acute setting. RecoverNow is a custom built, tablet-based stroke rehabilitation platform that houses a variety of previously existing apps with activities analogous or identical to exercises in speech language and/or occupational therapy. While RecoverNow represents how mobile technology can be utilized to address a growing public health issue, the feasibility, acceptability and efficacy of tablet-based stroke rehabilitation are unknown. Studies with the goal of establishing feasibility of early tablet-based stroke rehabilitation are needed and, if appropriate, a randomized controlled trial to establish efficacy.</text>
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                <text>Copyright (c) 2017 Michael William Pugliese, Kumanan Wilson, Julien Guerinet, Katherine M Atkinson, Karen H Mallet, Rany Shamloul, Lise Zakutney, Dale Corbett, Dar Dowlatshahi</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 1 (2017); pp. 148-157</text>
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                <text>1865-7923</text>
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                <text>aphasia</text>
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