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                <text>Conde González, Miguel</text>
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                <text>The learning process is subject to continuous changes due to the changing needs of users. These changes are most often accompanied by new technologies which are constantly appearing in our modern computerized society. The Internet has allowed the optimization of the learning process through supported learning platforms, in addition to this, the dissemination of mobile devices such as P.D.A.´s allows for a new stage in this process, mLearning. This is based on the ability of the user to access their course information at any time and place without the restriction of needing to have a computer in their possession, this along with other characteristics will determine the direction of ubiquitous learning.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/531</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/531/620</text>
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                <text>Copyright (c) 2017 Miguel  Conde González</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 2 No. 4 (2008); pp. 62-64</text>
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                <text>1865-7923</text>
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                <text>eLearning</text>
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                <text>mLearning, the First Step in Learning Process Revolution</text>
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                <text>Ibrahim, Dogan -</text>
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                <text>Cavus, Nadire</text>
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                <text>There is an increase use of wireless technologies in education all over the world. In fact, wireless technologies such as laptop computers, palmtop computers, and mobile phones are revolutionizing education and transforming the traditional classroom based learning and teaching into anytime and anywhere education. This paper investigates the use of wireless technologies in education with particular reference to the potential of learning new technical English Language words using SMS text messaging. The system, developed by the authors, called Mobile Learning Tool (MOLT), has been tested with 45 first-year undergraduate students. Studentsâ?? opinions have been collected after the experiment. Our results show that students enjoyed and be happy used mobile phones to learn new technical English word. We believe that if we add the improvements or modifications students wish to see in the MOLT system, then using the MOLT system as an educational tool will contribute to motivation and success of students.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/530</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/530/613</text>
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                <text>Copyright (c) 2017 Dogan - Ibrahim, Nadire Cavus</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 2 No. 4 (2008); pp. 38-42</text>
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                <text>1865-7923</text>
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                <text>Distance learning</text>
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                <text>MOLT: A Mobile Learning Tool That Makes Learning New Technical English Language Words Enjoyable</text>
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                <text>Guralnick, David</text>
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                <text>Academic and industry conferences have been used for years as a key method for sharing knowledge and ideas among academics and professionals in specific areas of study.   Conferences provide a rare opportunity for people to form relationships with colleagues around the world, and not only to exchange ideas within the context of formal presentations, but to get to know one another informally through other conference activities such as dinners and receptions.

While conferences do indeed have tremendous value and contribute substantially to the growth of research in their fields, we have identified some ways that we can use technology to improve the impact of conferences on research and results, to make better use of the time between conferences, and to allow more involvement from people who cannot attend conferences.

In this paper, we describe a community-based Web site for academics and professionals, and to be rolled out first for an international e-learning association.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/529/475</text>
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                <text>Copyright (c) 2017 David Guralnick, Christine Levy</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 2 No. 3 (2008); pp. 28-30</text>
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                <text>1865-7923</text>
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                <text>e-learning</text>
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                <text>An Online Environment for Academics and Professionals to Locate Collaborators and Refine Ideas</text>
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                <text>Dyson, Laurel Evelyn</text>
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                <text>Podcasts have been employed extensively in some countries and are now being trialed at a number of universities in Australia. They allow ubiquitous learning whereby students can access a variety of educational material anywhere, anytime on iPods, MP3 players or even desktop computers. There remain many questions about the impact of podcasts on studentsâ?? learning. One issue is how podcasts can be used to support high quality, experiential learning rather than merely perpetuating the old transmission model of education. In this paper, we explore the reasons why students either use, or fail to use, podcasts provided for their education. We report on the motivation of students enrolled in a large first-year information systems subject. These varied considerably and show that podcasts are a useful adjunct for providing for the diverse range of learning styles of our students. However, we also conclude that further research is needed into the use of podcasts to promote deeper learning in our students and how podcasts can act as a support tool for other forms of m-learning.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/526</text>
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                <text>Copyright (c) 2017 Laurel Evelyn Dyson</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 2 No. 3 (2008); pp. 17-21</text>
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                <text>Within the context of a developing country, such as South Africa, access to technology is severely limited. However, most South Africans have relatively good access to mobile phone technology in relation to other portable and mobile technology. In this initiative, students were encouraged to use mobile phone text messaging to send questions to the lecturer during classes or between classes. A total of 86 text messages were sent to the lecturer during a 7-week, second year psychology course. At the end of the course 136 responses to questionnaire distributed in class was obtained. This data was analysed using activity theory as a framework for the discussion. The results indicated that students had strongly favorable perceptions of this initiative and respondents had spontaneously suggested other uses of mobile phone technology to enhance the learning experience. Activity theory provided a useful framework for evaluating the use of mobile phone text messages to enhance student participation and learning.</text>
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                <text>Copyright (c) 2017 Andrew Thatcher, Gillian Mooney</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 2 No. 3 (2008); pp. 41-51</text>
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                <text>1865-7923</text>
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              <elementText elementTextId="16692">
                <text>large class teaching</text>
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                <text>mobile phone messaging</text>
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                <text>activity theory</text>
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                <text>Managing Social Activity and Participation in Large Classes with Mobile Phone Technology</text>
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                <text>Kubben, Pieter Leonard</text>
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              <elementText elementTextId="16661">
                <text>Magazines like BusinessWeek and Time have confirmed â??The Power of Us</text>
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              <elementText elementTextId="16668">
                <text>Copyright (c) 2017 Pieter Leonard Kubben</text>
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              <elementText elementTextId="16669">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 2 No. 3 (2008); pp. 31-33</text>
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                <text>1865-7923</text>
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            <name>Subject</name>
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              <elementText elementTextId="16671">
                <text>mobile</text>
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                <text>pda</text>
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                <text>handheld</text>
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                <text>wiki</text>
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                <text>Medicine 2.0</text>
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                <text>A collaborative webbased framework with optimized mobile synchronisation: Upgrading to Medicine 2.0</text>
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                <text>Daoudi, Najima</text>
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                <text>Ajhoun, Rachida</text>
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                <text>The exploitation of technological advances in learning has result in an exponential progress in this field through e-learning applications in the last decade, and currently through the emergence of a new concept called m-learning. M-learning is defined as the use of mobile technologies for learning; m-learning must benefit from e-learning technological advances in order to avoid reinventing the wheel. Nevertheless, m-learning, which is characterized by the use of mobile devices, permits, for example, the learners' mobility during their learning, and, as opposed to e-learning, allows a continuous change of the context. Moreover, m-learning faces some constraints caused by the use of its mobile technologies such as the limited screen size, reduced energy, resolution capacity and location change during an activity. Yet, there is an agreement among most research laboratories interested in e- and m- learning on the parallel use of these two learning environments. Therefore, it would be more sensible to allow communication and exchanges, to facilitate the sharing of learning subject matters and data between the two environments, and thereby to avoid the reproduction of contents that already exist. In other words, an educational heritage which is exploitable independently of the environment of its development must be created. The utilization of standards can offer pedagogical contents some structures which facilitate the interchangeability between e- and m- learning. In order to ensure the interoperability between e- and â??m learning platforms and to take into account the specificities of m-learning, we have adopted the already existing standard LOM and the specification IMS LD.</text>
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                <text>Copyright (c) 2017 Najima Daoudi, Rachida Ajhoun</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 2 No. 3 (2008); pp. 11-16</text>
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                <text>1865-7923</text>
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                <text>An Adaptation of E-learning Standards to M-learning</text>
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                <text>Glavinic, Vlado</text>
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                <text>Ljubic, Sandi</text>
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                <text>Kukec, Mihael</text>
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                <text>Using a learning system in a mobile environment is not effective if barriers are not overcome in the interaction with targeted users. For that purpose all mobile services, including m-learning ones, demand special attention being paid to interaction with the user. While mobile device applications are becoming more powerful, their development process must utilize the concepts of universal access and universal usability. This paper describes the model of both adaptable and adaptive mobile user interface, through the introduction of a transformable menu component capable to be personalized to each individual user with respect to her/his preferences and interaction style. We discuss the use of customization and adaptation techniques, with the aim to both enhance mobile HCI and to increase user satisfaction, particularly when working with graphically rich m-learning applications.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/285</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/285/474</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="16625">
                <text>Copyright (c) 2017 Vlado Glavinic, Sandi Ljubic, Mihael Kukec</text>
              </elementText>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 2 No. 3 (2008); pp. 22-27</text>
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                <text>1865-7923</text>
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            <description>The topic of the resource</description>
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                <text>Adaptive user interfaces</text>
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                <text>adaptable user interfaces</text>
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                <text>personalization</text>
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                <text>mobile human-computer interaction (mobile HCI)</text>
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                <text>mobile learning</text>
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                <text>universal usability</text>
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                <text>universal access</text>
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                <text>Transformable Menu Component for Mobile Device Applications: Working with both Adaptive and Adaptable User Interfaces</text>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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          <element elementId="39">
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              <elementText elementTextId="16591">
                <text>Gowrishankar, S.</text>
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              <elementText elementTextId="16592">
                <text>Satyanarayana, P. S.</text>
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                <text>The number of users and their network utilization will enumerate the traffic of the network. The accurate and timely estimation of network traffic is increasingly becoming important in achieving guaranteed Quality of Service (QoS) in a wireless network. The better QoS can be maintained in the network by admission control, inter or intra network handovers by knowing the network traffic in advance. Here wireless network traffic is modeled as a nonlinear and nonstationary time series. In this framework, network traffic is predicted using neural network and statistical methods. The results of both the methods are compared on different time scales or time granularity. The Neural Network(NN) architectures used in this study are Recurrent Radial Basis Function Network (RRBFN) and Echo state network (ESN).The statistical model used here in this work is Fractional Auto Regressive Integrated Moving Average (FARIMA) model. The traffic prediction accuracy of neural network and statistical models are in the range of 96.4% to 98.3% and 78.5% to 80.2% respectively.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/284</text>
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                <text>10.3991/ijim.v3i1.284</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="16601">
                <text>Copyright (c) 2017 S. Gowrishankar, P. S. Satyanarayana</text>
              </elementText>
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          </element>
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              <elementText elementTextId="16602">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 3 No. 1 (2009); pp. 53-62</text>
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              <elementText elementTextId="16603">
                <text>1865-7923</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Traffic flow</text>
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                <text>Nonlinear and Nonstationary Time Series</text>
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                <text>QoS</text>
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                <text>FARIMA</text>
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                <text>ESN and Prediction</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="16610">
                <text>A Time Series Modeling and Prediction of Wireless Network Traffic</text>
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                <text>Peer-reviewed Article</text>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="15984">
                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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      <description>Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing.</description>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="16574">
                <text>for Papers, Call</text>
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            <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="16575">
                <text>2008-04-04</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/283</text>
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                <text>10.3991/ijim.v2i2.283</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="16579">
                <text>eng</text>
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              <elementText elementTextId="16580">
                <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/283/246</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="16582">
                <text>Copyright (c) 2017 Call for Papers</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="16583">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 2 No. 2 (2008)</text>
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              <elementText elementTextId="16584">
                <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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              <elementText elementTextId="16585">
                <text>Adaptive</text>
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                <text>Approaches</text>
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              <elementText elementTextId="16587">
                <text>Mobile Learning</text>
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                <text>iJIM Special Issue on Adaptive Approaches to Mobile Learning</text>
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            <name>Type</name>
            <description>The nature or genre of the resource</description>
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