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                <text>Al-Sayyed, Rizik M. H.</text>
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                <text>Cloud computing is considered one of the most important techniques in the field of distributed computing which contributes to maintain increased scalability and flexibility in computer processing. This is achieved because it, using the Internet, provides different resources and shared services with minimum costs. Cloud service providers (CSPs) offer many different services to their customers, where the customers’ needs are met seeking the highest levels of quality at the lowest considerate prices. The relationship between CSPs and customers must be determined in a formal agreement, and to ensure how the QoS between them will be fulfilled, a clear Service Level Agreement (SLA) must be called for. Several previously-proposed models used in the literature to improve the QoS in the SLA for cloud computing and to face many of the challenges in the SLA are reviewed in this paper. We also addressed the challenges that are related to the violations of SLAs, and how overcoming them will enhance customers’ satisfaction. Furthermore, we proposed a model based on Deep Reinforcement Learning (DRL) and an enhanced DRL agent (EDRLA). In this model, and by optimizing the learning process in EDRLA, proposed agents would be able to have optimal CSPs by improving the learning process in EDRLA. This improvement will be reflected in the agent's performance and considerably affect it, especially in identifying cloud computing requirements based on the QoS metrics.</text>
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                <text>Copyright (c) 2021 Afaf Edinat, Rizik M. H. Al-Sayyed, Amjad Hudaib</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 21 (2021); pp. 119-143</text>
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                <text>1865-7923</text>
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                <text>Cloud Computing</text>
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                <text>A Survey on Improving QoS in Service Level Agreement for Cloud Computing Environment</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Yahaya, Nur Sauri</text>
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                <text>Abdul Salam, Sobihatun Nur</text>
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                <text>Nowadays, developing Virtual Reality (VR) and Immersive Virtual Reality (IVR) application is one of the alternative support tools used to support children in learning road safety education. At early stage of VR/IVR application development, cybersickness was one of the main concerns that occur in both non-immersive and immersive environment that include both VR platforms which are Mobile and Tethered. This is because it involves inconsistencies between visual and physical movement in the virtual environment. Thus, the primary concern of this study is to explore and identify appropriate design guidelines in reducing cyber and simulator sickness in developing VR/IVR application for both platforms which employed in previous research. In accordance, 14 studies have been selected for review in a comparative analysis. The findings of this study discuss the appropriate cybersickness reduction design guidelines and principle that applicable and beneficial in the development process of the VR/IVR application and respectively reducing the cybersickness effect</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/26359</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/26359/10879</text>
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                <text>Copyright (c) 2022 Nur Sauri Yahaya, Ariffin Abdul Mutalib, Sobihatun Nur Abdul Salam</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 05 (2022); pp. 33-48</text>
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                <text>1865-7923</text>
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                <text>Virtual Reality</text>
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                <text>Immersive Virtual Reality</text>
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                <text>Mobile HMD</text>
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                <text>Cybersickness Reduction Guidelines.</text>
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                <text>A Comparative Analysis on Cybersickness Reduction Guidelines in VR and IVR Applications for Children Road Safety Education</text>
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                <text>Dar, Muneer Ahmad</text>
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                <text>Askar, Aadil</text>
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                <text>Alyahya, Daliya</text>
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                <text>Bhat, Sameer Ahmad</text>
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                <text>Open networks enable data communication between different types of mobile devices that showcase the need to enforce elevated security measures. Securing sensitive or confidential data in mobile phones is accomplished by implementing a diverse range of cryptographic techniques. While encryption algorithms, such as Rivest–Shamir–Adleman (RSA) may offer secure solutions that are often difficult to compromise, these in turn prerequisite high speed computational resources for effective operation. Elliptical curve cryptography (ECC) is well thought-out standard that offers a workable and feasible methods of encryption/decryption, whilst being applicable to resource constraint devices. This paper implements a novel key exchange mechanism that helps to secure exchange of data between the communicating mobile devices. The study aims to address the limitation of Elliptic Curve Deffie Hellman, which is susceptible to Man-in-the-Middle attack and proposes an enhanced Elliptic Curve Deffie Hellman (ECDH) technique for secure data communication in open networks. The study results reveal, how the implementation of ECDH allows exchange of keys between the two communicating devices with limited resources.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/26337</text>
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                <text>eng</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/26337/10423</text>
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                <text>Copyright (c) 2021 Muneer Ahmad Dar, Sameer Ahmad Bhat</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 23 (2021); pp. 89-103</text>
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                <text>1865-7923</text>
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                <text>Android</text>
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                <text>Cryptography</text>
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                <text>ECC</text>
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                <text>Lightweight and Secure Elliptical Curve Cryptography (ECC) Key Exchange for Mobile Phones</text>
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                <text>Vanina, Ekaterina</text>
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                <text>The relevance of the study of mobile learning as an upcoming trend in education in the context of the COVID-19 pandemic is not denied. The study of students’ ability and motivation to use modern technologies of mobile learning is characterized by novelty. However, the problematic issue of studying the motivation of students and teachers for mobile learning in today's pandemic remains relevant. The purpose of the study is to examine some aspects of the formation of students' motivation (intrinsic motivation: interest in the subject of study, understanding of its significance for further career; extrinsic motivation: points, awards, recognition), as well as the role of teachers in this process and the influence of cognitive abilities of a person on their motivation and academic achievement. The study is based on the method of experiment as well as the interviews and analysis of student reports. There were 185 students (19-22 years old) from Sechenov First Moscow State Medical University and Far Eastern Federal University participating in the study. After the participants had listened to an online lecture on the topic "Neuro-linguistic programming", they were asked to make a report on the topic of the same name and expand the information. Next, the students were interviewed. The results showed that 89% of students were interested in the issue and 69% noted a desire to learn more information on this topic; 100% of participants actively use mobile devices with Internet access for educational purposes and, in particular, for making the required report. However, only 12% of respondents believe that mobile learning alone can be used in order to study specialized disciplines at their university. Thus, 43% of students find it difficult to perceive information from the screen of a smartphone (tablet); 61% of students prefer traditional education to mobile learning, which is probably due to the novelty of this process; 65% of respondents noticed that their knowledge is deteriorating due to the use of mobile (distance) learning. In connection with the results obtained, the following recommendations were made to improve the educational process: to explain to students the importance and usefulness of the topic under study; to use adequate pedagogical methods in the context of mobile learning; to provide feedback and the ability to communicate to students during mobile learning; to take into account the personality and learning style of a student; to use all types of intrinsic and extrinsic motivation of students in accordance with specific circumstances. The most popular motivation factors for mobile learning are possibility of improving exam grades (65%), possibility of improving knowledge (25%), and broadening horizons and deep interest in the topic (10%). Developing applications that will take into account the needs of a particular university and specialty will also make a contribution. Teachers are also encouraged to use a play-based approach and a student reward system in order to increase the level of motivation (additional points, a simplified exam scheme, etc.). The practical significance and prospects for further research are presented by the opportunities of increasing students’ motivation in the context of mobile learning, and, consequently, the success of their studies. The results can be used in the comparative study of mobile learning possibilities in modern conditions and teachers’ involvement in it in different countries.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/26321</text>
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                <text>10.3991/ijim.v16i01.26321</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/26321/10551</text>
              </elementText>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45281">
                <text>Copyright (c) 2021 Zoya Snezhko, Dmitrii Babaskin, Ekaterina Vanina, Rodion Rogulin, Zhanna Egorova</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 01 (2022); pp. 78-93</text>
              </elementText>
              <elementText elementTextId="45284">
                <text>1865-7923</text>
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            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45285">
                <text>cognitive abilities and distance learning</text>
              </elementText>
              <elementText elementTextId="45286">
                <text>intrinsic and extrinsic motivation</text>
              </elementText>
              <elementText elementTextId="45287">
                <text>methods of increasing interest in learning</text>
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                <text>mobile learning</text>
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              <elementText elementTextId="45289">
                <text>student interest in learning</text>
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                <text>teacher motivation</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45291">
                <text>Motivation for Mobile Learning: Teacher Engagement and Built-In Mechanisms</text>
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              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
                </elementText>
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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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            <name>Creator</name>
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              <elementText elementTextId="45246">
                <text>Sin Yoon, Chong</text>
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              <elementText elementTextId="45247">
                <text>Md Khambari, Mas Nida</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="45248">
                <text>2022-03-22</text>
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            <description>An account of the resource</description>
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                <text>This paper presents the design, development, and evaluation of the Robobug board game, which was developed to foster computational thinking (CT) among primary school pupils in Malaysia, particularly those who encounter computer and Internet access issues. Utilizing Richey and Klein's design and development (DDR) methodologies, this research serves as a primer by first concentrating on needs analysis for the design, then converting it into the development of the board game. The focus of this study was on how the design aspects of Robobug might help children grasp CT principles and foster CT practices. The Robobug board game was initially assessed remotely via questionnaire by a panel of eight subject matter experts from Malaysian institutions. Using the questionnaire and evaluation rubrics, experts were asked to offer insights with the following objectives: (i) to evaluate the design features; (ii) to examine the computational concepts; and (iii) to examine the computational practices of the Robobug board game. The research found that the Robobug board game has significant potential for use as an unplugged tool and alternative technique for instructors to enhance CT abilities outside the typical classroom. Additionally, it can be utilized to incorporate collaborative and game-based learning into teachers' instructional strategies to boost student engagement and achievement. The Robobug board game's shortcomings and suggestions for improvement are discussed.</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="45250">
                <text>application/pdf</text>
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          <element elementId="43">
            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
            <elementTextContainer>
              <elementText elementTextId="45251">
                <text>https://online-journals.org/index.php/i-jim/article/view/26281</text>
              </elementText>
              <elementText elementTextId="45252">
                <text>10.3991/ijim.v16i06.26281</text>
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          <element elementId="44">
            <name>Language</name>
            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45253">
                <text>eng</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="45254">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
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            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="45255">
                <text>https://online-journals.org/index.php/i-jim/article/view/26281/10999</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45256">
                <text>Copyright (c) 2022 Sin Yoon Chong, Mas Nida Md Khambari</text>
              </elementText>
              <elementText elementTextId="45257">
                <text>https://creativecommons.org/licenses/by/4.0</text>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="45258">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 06 (2022); pp. 41-60</text>
              </elementText>
              <elementText elementTextId="45259">
                <text>1865-7923</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45260">
                <text>computational thinking</text>
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              <elementText elementTextId="45261">
                <text>board game</text>
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              <elementText elementTextId="45262">
                <text>design and development research</text>
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                <text>evaluation</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45264">
                <text>Design, Development, and Evaluation of the Robobug Board Game: An Unplugged Approach to Computational Thinking</text>
              </elementText>
            </elementTextContainer>
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            <description>The nature or genre of the resource</description>
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          <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
          <elementContainer>
            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
                </elementText>
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    <itemType itemTypeId="14">
      <name>Dataset</name>
      <description>Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing.</description>
    </itemType>
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="39">
            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="45220">
                <text>Sakka, Fadi</text>
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              <elementText elementTextId="45221">
                <text>Gura, Alena</text>
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              <elementText elementTextId="45222">
                <text>Latysheva, Valentina</text>
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              <elementText elementTextId="45223">
                <text>Mamlenkova, Elena</text>
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              <elementText elementTextId="45224">
                <text>Kolosova, Olga</text>
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            <name>Date</name>
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              <elementText elementTextId="45225">
                <text>2022-01-28</text>
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            <description>An account of the resource</description>
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                <text>Aim/Purpose: This paper aims to explore the various problems associated with the technological, pedagogical, and psychological aspects of mobile learning and develop recommendations for its improvement. Background: Mobile learning becomes increasingly popular today. This type of learning is relatively new. It has recently gained popularity due to the pandemic restrictions in 2020. As mobile learning is being actively used, educators, students, and other professionals begin to note its positive and negative sides. Methodology: The study is based on the method of experiment as well as an online 11-item questionnaire was conducted (developed by authors) with 110 teachers in Russian universities (Russian State University named by A.N. Kosygina, I.M. Sechenov First Moscow State Medical University, and Kuban State Technological University). Contribution: The practical significance and prospects for further research are based on the possibility of using the results in further study of the problem of the impact of mobile applications on specific indicators. Findings: It was found that, given the great prevalence of mobile devices today, there is every reason to implement mobile learning at universities. However, there are infrastructural problems that prevent the widespread use of this mode of delivery (problems with the Internet, old gadgets that do not support 4G, lack of technical support, etc.). Teachers also mention a set of problems associated with the quality of such training, which are mainly related to pedagogical and psychological aspects of the process. About 56% of university teachers say that students often behave irresponsibly during online classes. They are inattentive, tend to skip lessons, and do not hand in the tasks, which leads to a decline of knowledge and failing at tests and exams. Around 68% of teachers have difficulties adapting their teaching methods to a mobile learning environment. Recommendations for Practitioners and Researchers: This study proposes structured recommendations to improve the quality of mobile learning by advancing technology skills, adapting mobile learning to the needs of universities, and raising the motivation of teachers and students. Impact on Society: The results of the study can be used to analyze and compare the impact of mobile learning on society, efficiency in various fields, as well as mobile learning of students on future employment and life in society. Future Research: In the future it will be important to conduct a comparative analysis of the impact of mobile learning on students and teachers, to study the effectiveness of such learning in general.</text>
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                <text>application/pdf</text>
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              <elementText elementTextId="45228">
                <text>https://online-journals.org/index.php/i-jim/article/view/26205</text>
              </elementText>
              <elementText elementTextId="45229">
                <text>10.3991/ijim.v16i02.26205</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="45230">
                <text>eng</text>
              </elementText>
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          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="45231">
                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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          <element elementId="46">
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              <elementText elementTextId="45232">
                <text>https://online-journals.org/index.php/i-jim/article/view/26205/10645</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="45233">
                <text>Copyright (c) 2021 Alena Gura, Valentina Latysheva, Elena Mamlenkova, Olga Kolosova</text>
              </elementText>
              <elementText elementTextId="45234">
                <text>https://creativecommons.org/licenses/by/4.0</text>
              </elementText>
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          <element elementId="48">
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              <elementText elementTextId="45235">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 02 (2022); pp. 144-158</text>
              </elementText>
              <elementText elementTextId="45236">
                <text>1865-7923</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>mobile learning</text>
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              <elementText elementTextId="45238">
                <text>online learning</text>
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              <elementText elementTextId="45239">
                <text>psychological and pedagogical barriers</text>
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                <text>psychology of mobile education</text>
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                <text>technology</text>
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              <elementText elementTextId="45242">
                <text>Solving Technological, Pedagogical, and Psychological Problems in Mobile Learning</text>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
                </elementText>
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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="45195">
                <text>Mamane, Asmae</text>
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              <elementText elementTextId="45196">
                <text>Fattah, Mohammed</text>
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              <elementText elementTextId="45197">
                <text>El Ghazi, Mohammed</text>
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              <elementText elementTextId="45198">
                <text>El Bekkali, Moulhime</text>
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                <text>2022-01-18</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="45200">
                <text>5G mobile communications introduce novel solutions to overcome the frequency spectrum’s shortage. It broadens the spectrum band to millimeter-waves, employs multiple numerologies to calculate subcarrier spacing, and supports various division duplex modes. Furthermore, the fifth generation of mobile networks intends to employ both, frequency division duplex, and time division duplex. This study focuses on Time Division Duplex (TDD) mode. Compared to the Frequency Division Duplex (FDD), the time duplex mode enhances flexibility and allows efficient frequency spectrum usage. However, the recent papers addressing resource scheduling issues for TDD duplex employ only the current classical schedulers, which were primarily designed for FDD mode, to accomplish radio resource allocation. In this paper, we compared the achievable throughput and data accumulated in the buffer of these schedulers to assess their suitability and compatibility with TDD specifications. The resulting performances show that an appropriate scheduler in line with TDD requirements should be implemented to exploit the available spectrum efficiently and reach the required throughput.</text>
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                <text>Copyright (c) 2021 Asmae MAMANE, Mohammed Fattah, Mohammed El Ghazi, Moulhime El Bekkali</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 01 (2022); pp. 120-131</text>
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                <text>1865-7923</text>
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                <text>Time Division Duplex</text>
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                <text>scheduling</text>
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                <text>throughput</text>
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                <text>5G Enhanced Mobile Broadband (eMBB): Evaluation of Scheduling Algorithms Performances for Time-Division Duplex Mode</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Tasjid, Md Shahriar</text>
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                <text>Marouf, Ahmed Al</text>
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                <text>Walking is one of the most common modes of terrestrial locomotion for humans. Walking is essential for humans to perform most kinds of daily activities. When a person walks, there is a pattern in it, and it is known as gait. Gait analysis is used in sports and healthcare. We can analyze this gait in different ways, like using video captured by the surveillance cameras or depth image cameras in the lab environment. It also can be recognized by wearable sensors. e.g., accelerometer, force sensors, gyroscope, flexible goniometer, magneto resistive sensors, electromagnetic tracking system, force sensors, and electromyography (EMG). Analysis through these sensors required a lab condition, or users must wear these sensors. For detecting abnormality in gait action of a human, we need to incorporate the sensors separately. We can know about one's health condition by abnormal human gait after detecting it. Understanding a regular gait vs. abnormal gait may give insights to the health condition of the subject using the smart wearable technologies. Therefore, in this paper, we proposed a way to analyze abnormal human gait through smartphone sensors. Though smart devices like smartphones and smartwatches are used by most of the person nowadays. So, we can track down their gait using sensors of these intelligent wearable devices. In this study, we used twenty-three (N=23) people to record their walking activities. Among them fourteen people have normal gait actions, and nine people were facing difficulties with their walking due to their illness. To do the stratification of the gait of the subjects, we have adopted five machine learning algorithms with addition a deep learning algorithm. The advantages of the traditional classification are analyzed and compared among themselves. After rigorous performance analysis we found support vector machine (SVM) showing 96% accuracy, highest among the tradition classifiers. 70%, 84%, and 95% accuracy is obtained by the logistic regression, Naïve Bayes, and k-Nearest Neighbor (kNN) classifiers, respectively. As per the state-of-the art, deep learning classifiers has been proven to outperform the traditional classifiers in similar binary classification problems. We have considered the scenario and applied the 2D convolutional neural network (2D-CNN) classification algorithm, which outperformed the other algorithms showing accuracy of 98%. The model can be optimized and can be integrated with the other sensors to be utilized in the mobile wearable devices.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/25891</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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              <elementText elementTextId="45180">
                <text>Copyright (c) 2021 Md Shahriar Tasjid, Ahmed Al Marouf</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 24 (2021); pp. 167-175</text>
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                <text>1865-7923</text>
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                <text>human gait detection</text>
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                <text>abnormal gait</text>
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                <text>machine learning</text>
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                <text>deep learning</text>
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                <text>sensors</text>
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                <text>accelerometer</text>
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                <text>gyroscope</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="45191">
                <text>Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies</text>
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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                <text>Hadi, Waluyo</text>
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                <text>Yuksafa, Royana</text>
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              <elementText elementTextId="45143">
                <text>Yarmi, Gusti</text>
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                <text>Safitri, Desy</text>
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                <text>Lestari, Ika</text>
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                <text>Suntari, Yustia</text>
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                <text>Sudrajat, Ajat</text>
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                <text>Iskandar, Rossi</text>
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                <text>2022-04-05</text>
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                <text>Purpose of this study was to determine the effect of using animated video media on student learning outcomes in Solar System science subjects and to determine the improvement in student learning outcomes in class VI SDN Padurenan Jaya.The research design used is a quantitative technique using a quasi-experimental method in the form of Non-Equivalent Control Group Design. The variables in this study are, the independent variable is the use of animation media, while the dependent variable is student learning outcomes. The subjects of this study were students of class VI A and VI B at SDN Padurenan Jaya, totaling 52 students. The sample was determined by purposive sampling, namely, 28 students as the experimental group (VI A) and 26 students as the control group (VI B). Data collection techniques in this study used multiple choice tests in the form of pretest and posttest. Testing the requirements of the hypothesis using normality test (using chi squared analysis technique) and homogeneity test. The validity of the test items was carried out by expert judgment and testing instruments. The reliability of the instrument was test calculated by the Kuder-Richardson formula (KR-20) obtained r = 0.893 which means the reliability of the instrument is very high. The data analysis technique used was a separate group t-test (independent sample test). The t-test was used to determine differences in the level of student learning outcomes.Based on the results of the study, the average score for the pretest control class was 46.54 and the average posttest was 64.04; while in the experimental class the average value of the pretest was 48.39 and the average value of the posttest was 74.82. The increase in learning outcomes for the control class was 17.50 and the experimental class was 26.43. Analysis using all results posttest and tested by t-test with the acquisition of t count &amp;gt; t table (4.775 &amp;gt; 2.021), indicating that Ho is rejected and Ha is accepted, from these results it can be concluded that student learning outcomes using animated video media are greater than the results. Student learning using conventional methods (lectures or blackboards).</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/25825</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/25825/11087</text>
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              <elementText elementTextId="45159">
                <text>Copyright (c) 2022 Royana Yuksafa, Arita Marini, Gusti Yarmi, Desy Safitri, Sri Nuraini, Taufik Rihatno</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 07 (2022); pp. 82-98</text>
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                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>animation media</text>
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                <text>solar system</text>
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                <text>learning outcomes</text>
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                <text>Enhancement of Students’ Learning Outcomes through Interactive Multimedia</text>
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                <text>Sujarwo</text>
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                <text>Herawati, Septy Nur</text>
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                <text>Sekaringtyas, Tunjungsari</text>
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                <text>Umasih</text>
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                <text>Marini, Arita</text>
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                <text>Iskandar, Rossi</text>
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                <text>Sudrajat, Ajat</text>
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                <text>Learning media is one of the important components in the process of implementing learning, especially during the current pandemic. But in reality there are still few teachers who use media in the learning process, causing student learning outcomes to decline. Interactive media which is one of the media that can be used to attract students' attention by combining systems ranging from text, images, videos, and audio/sound can provide new experiences for students in learning. This study aims to determine student learning outcomes after using android-based interactive learning media in social science subjects. The population group consisted of 70 students from several schools in Cluster 2, Cipinang Muara Village. Then samples were taken using the Slovin formula to get 60 samples of fourth grade students. This study uses experimental research methods and uses a single group pre test - post test. The collected data were analyzed through t test. The results showed that android-based interactive media had a positive effect on student learning outcomes. Students experienced a significant increase in learning outcomes by using this media. In addition, students feel more interested and easier to understand the material by using this application. The results showed that android-based interactive media had a positive effect on student learning outcomes. Students experienced a significant increase in learning outcomes by using this media. In addition, students feel more interested and easier to understand the material by using this application. The results showed that android-based interactive media had a positive effect on student learning outcomes. Students experienced a significant increase in learning outcomes by using this media. In addition, students feel more interested and easier to understand the material by using this application.</text>
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