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                <text>Dewi, Citra Ayu</text>
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                <text>Digital literacy is critical in the current era of digitalization. Therefore, students are required to be digitally literate. This study aims to improve students’ digital literacy using an android-based e-module in chemical bonding. This study used a quasi-experimental method with a pre-experimental design that included a pretest and posttest for one group. For this study, 70 preservice teachers (10 males and 60 females) from the Department of Chemistry Education at a private university in Indonesia were recruited. The Digital Literacy Questionnaire (DLQ) was used to measure students’ digital literacy. To analyze the data, we used paired t-tests and N-gain. The results indicated a significant increase in digital literacy scores before and after treatment. Thus, it can be concluded that using an android-based e-module significantly enhances students’ digital literacy on chemical bonds. Due to its effectiveness, we recommend teachers use this e-module to elevate students’ academic performance, in general, in chemistry.</text>
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                <text>Copyright (c) 2022 Citra Ayu Dewi, Nurdianti Awaliyah , Nurin  Fitriana , Satya   Darmayani , Nasrullah Nasrullah, Jan  Setiawan , Irwanto Irwanto</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 22 (2022); pp. 191-208</text>
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                <text>1865-7923</text>
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                <text>Using Android-Based E-Module to Improve Students’ Digital  Literacy on Chemical Bonding</text>
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                <text>This paper describes the needs analysis of tool for connecting people in a Learning Network using Group Concept Mapping method. We conducted an empirical study to identify the most relevant features of such a tool. There were 11 experts from 7 different countries with technical and non-technical background who participated in the study. Each of the participants were invited by email and given a brief description about the scenario for the need of a tool in an online Learning Network to find people for help (social support system). This tool can be developed on mobile devices to search for peer learners. The participants generated 153 unique ideas about the need for social support system in Learning Network. These ideas were sorted and rated, and further analysis with Concept Mapping produced ten relevant clusters of interest. These clusters (concepts) suggest the features which are relevant for a tool that would support learners in connecting with others in a Learning Network. The concept mapping methodology described in this paper has also been applied in other projects; one of them is about the â??investigation of pedagogic areas in which mobile learning is an appropriate solution</text>
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                <text>Copyright (c) 2017 Danish Nadeem, Slavi Stoyanov, Rob Koper</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 5 No. 1 (2011); pp. 41-46</text>
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                <text>1865-7923</text>
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                <text>Using Concept Mapping for Needs Analysis for a Social Support System in Learning Network</text>
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                <text>Chanyawudhiwan, Gan</text>
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                <text>This paper discusses Design-Based Research (DBR) used to  develop an innovation in a distance university. The innovation focuses on    self-study through technology. It has results in 3 aspects which are 1) Instructors can assess knowledge and prepare the content from both internal and external learning sources in accordance with students’ needs, 2) Students can analyze their ability in order to plan successful online learning by themselves, and 3) Instructional designers can analyze, plan, design activities and select learning resources in accordance with the content and learning behavior. This paper describes the concept of DBR with the sample of "STOU Smartlearn" innovation design which is a smart evaluation system of Sukhothai Thammathirat Open University (STOU).  The innovation was designed based on DBR process. It has been used with students and could be modified to suit students’ needs. The results of the two experiments with undergraduate students in the academic year 2018 and 2019 found that the effect size increased from .27 to .32.</text>
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                <text>Copyright (c) 2021 kemmanat Mingsiritham</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 04 (2021); pp. 126-134</text>
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                <text>1865-7923</text>
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                <text>Using Design-Based Research to Develop Innovation in Open University in Thailand</text>
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                <text>Julius, Elizabeth</text>
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                <text>Abdullah, Abdul Halim</text>
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                <text>Data Handling at primary school involves gathering and recording information and then presenting it in a way that is meaningful to others. It is a fundamental part of student's mathematical understanding. Initial concepts of Data Handling need to be exposed to students in the early years as these skills will be used and built upon throughout their education. Due to its importance, Data Handling is included in the curriculum at primary level in Malaysia. However results of international assessments which focused on the use of higher order thinking skills showed that Malaysian students performed poorly in Data Handling. Therefore, this study was conducted to identify students’ learning difficulties in Data Handling at each level of higher order thinking skills (HOTS) namely applying, analysing, evaluating and creating. In addition, this study also investigated the use of smart board in overcoming HOTS learning difficulties in Data Handling. Numerous teachers recommend the use of smart board at primary schools since students have the opportunity to explore and learn novel concepts using the technology. Subsequently, it helps to generate dynamic learning experiences and student in school become more motivated about learning when the smart board is used during their lessons. Four experienced year five mathematics teachers and thirty year five students from a primary school were involved in the study. The students and teachers were selected based on purposive sampling. An interview protocol and rubric for cognitive domain in HOTS were used during the data collection phase. In addition, semi-structured interview sessions with the teachers and students as well as document analysis of the students’ mathematics exercise sheets in Data Handling were carried out by the researcher to investigate the students’ learning difficulties at each level of HOTS in Data Handling. It is hoped that the results from this study can contribute towards development of strategies, methods or programs using smart board to enhance HOTS in Data Handling among primary school students in Malaysia.</text>
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                <text>Copyright (c) 2018 Soh Hon Mun</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 12 No. 7 (2018); pp. 43-59</text>
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                <text>1865-7923</text>
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                <text>Using Digital Smart Board to Overcome Higher Order Thinking Skills Learning Difficulties in Data Handling among Primary School Students</text>
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              <elementText elementTextId="28747">
                <text>Ali, Zulfiqar</text>
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              <elementText elementTextId="28748">
                <text>Awwad, Aiman M Ayyal</text>
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                <text>Slany, Wolfgang</text>
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                <text>The rapid advancement of mobile computing technology and the rising usage of mobile apps made our daily life more productive. The mobile app should operate all the time bug-free in order to improve user satisfaction and offers great business value to the end user. At the same time, smartphones are full of special features that make testing of apps more challenging. Actually, the quality is a must for successful applications and it cannot be achieved without testing and verification. In this paper, we present the Behavior Driven Development (BDD) methodology and Cucumber framework to automate regression testing of Android apps. Particularly, the proposed methods use the visual programming language for smartphones (Catrobat) as a reference. The Catrobat program scripts communicate via a broadcast mechanism. The objective is to test the broadcast mechanism from different angles and track regression errors as well as specify and diagnose bugs with the help of executable specifications. The results show that the methods are able to effectively reveal deficiencies in the broadcast mechanism, and ensure that the app matches all expectations and needs of end users.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/9851</text>
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              <elementText elementTextId="28754">
                <text>10.3991/ijim.v13i02.9851</text>
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            <description>A language of the resource</description>
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                <text>eng</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="28756">
                <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/9851/5480</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="28758">
                <text>Copyright (c) 2019 Zulfiqar Ali, Aiman M Ayyal Awwad, Wolfgang Slany</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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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 02 (2019); pp. 50-65</text>
              </elementText>
              <elementText elementTextId="28760">
                <text>1865-7923</text>
              </elementText>
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="28761">
                <text>Mobile Application</text>
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              <elementText elementTextId="28762">
                <text>Regression Testing</text>
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                <text>Behavior Driven Development</text>
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                <text>Visual Programming Environment</text>
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            <elementTextContainer>
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                <text>Using Executable Specification and Regression Testing for Broadcast Mechanism of Visual Programming Language on Smartphones</text>
              </elementText>
            </elementTextContainer>
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                  <text>Indiana International &amp; Comparative Law Review</text>
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                <text>Roisman, Florence Wagman</text>
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                <text>Indiana University Robert H. McKinney School of Law</text>
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                <text>Indiana International &amp; Comparative Law Review; Vol. 18 No. 1 (2008); 1-18</text>
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                <text>2169-3226</text>
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            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="60230">
                <text>Using International and Foreign Human Rights Law in Public Interest Advocacy</text>
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            <element elementId="50">
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                  <text>International Journal of Interactive Mobile Technologies (iJIM)</text>
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              <elementText elementTextId="35198">
                <text>Yahya, Omar</text>
              </elementText>
              <elementText elementTextId="35199">
                <text>Alrikabi, Haider Th.Salim</text>
              </elementText>
              <elementText elementTextId="35200">
                <text>Al_airaji, Roa'a M.</text>
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                <text>Faezipour, Miad</text>
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            <name>Date</name>
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                <text>2020-08-14</text>
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                <text>In recent years, the Internet of things has become an urgent need in all of things that a person needs with least  effort and time. It covers in several areas, including controlling traffic and parking, following up on general and private buildings that  what you need of  periodic maintenance, and reducing energy through using  lighting Smart. In this paper, we focus on important thing and widespread in Iraq  , collection of solid waste in the streets without treatment, which causes environmental and psychological damage to the citizen.in addition , the solid waste deposal need set up sensors(RFID,GPS, ultrasonic, GSM,…etc), connecting them to Arduino Uno to accomplish specific intelligent processing that we need. Moreover, the system provides waste containers and warns the concerned departments in the city of the need to empty them when they reach a certain level, which makes the streets healthier, more attractive and free from rodents.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/13859</text>
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                <text>10.3991/ijim.v14i13.13859</text>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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                <text>Copyright (c) 2020 Haider Th.Salim Alrikabi, Omar Yahya</text>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 13 (2020); pp. 4-18</text>
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                <text>1865-7923</text>
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                <text>MSW</text>
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                <text>Arduino</text>
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                <text>Using Internet of Things  Application for Disposing of Solid Waste</text>
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                <text>Dolzhich, Elena</text>
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                <text>Dmitrichenkova, Svetlana</text>
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                <text>Ibrahim, Mona Kamal</text>
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                <text>The higher education system around the world is being rapidly developed towards digitalization – from computers to laptops, from laptops to tablets and smartphones. Accordingly, traditional delivery of instruction is being shifted towards blended learning that is being gradually replaced with distance learning, i.e. higher education is moving forward with mobile learning (m-learning) technologies. The introduction of mobile learning became the most topical event in 2020 in the context of the COVID-19 pandemic, due to which many countries had to completely move to distance learning in higher education. The purpose of the study is to analyze the prospects for the widespread use of mobile applications in teaching English as a foreign language (EFL) in Russia to Russian and Arab learners. In the course of the study, an online survey based on a questionnaire consisting of four open and closed questions was conducted. An empirical method was applied to collect the research data.  The survey was conducted at the Department of Foreign Languages of the Engineering Academy of the Peoples' Friendship University of Russia (EA PFUR). The total research sample included 200 participants and consisted of: 50 potential employers, 50 Russian and Arab students of the Peoples' Friendship University of Russia studying Linguistics (training program code 035700), 50 faculty members, namely teachers of the Peoples' Friendship University of Russia, the Institute of Foreign Languages of the Moscow State Pedagogical University and the Moscow Institute of Physics and Technology, as well as 50 administrative staff of the Peoples' Friendship University of Russia. The purpose of the survey was to collect information about the use of mobile applications (Smartphone Apps) and the introduction of mobile learning technology (m-learning) in the process of teaching EFL to students. According to the results of the survey, instructors are actively using mobile technologies in their professional activities and all participants in the learning process are receptive to their introduction in education. At the same time, respondents believe that technical challenges are the major obstacle to the adoption of mobile applications; these problems must be overcome in order to enable more productive use of mobile applications. In this regard, the study of mobile applications that are suitable for specific aspects of learning a foreign language, such as spoken language, reading comprehension, listening or writing, can be considered a promising research area.</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22895</text>
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                <text>10.3991/ijim.v15i15.22895</text>
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            <description>A language of the resource</description>
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                <text>eng</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/22895/9653</text>
              </elementText>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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                <text>Copyright (c) 2021 Elena Dolzhich, Svetlana Dmitrichenkova, Mona Kamal Ibrahim</text>
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              <elementText elementTextId="42847">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 15 (2021); pp. 20-34</text>
              </elementText>
              <elementText elementTextId="42848">
                <text>1865-7923</text>
              </elementText>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Foreign Languages</text>
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                <text>English as a Foreign Language (EFL)</text>
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              <elementText elementTextId="42851">
                <text>Graduate Education</text>
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                <text>Mobile Assisted Language Learning (MALL)</text>
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                <text>MALL technology</text>
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                <text>Mobile Learning (m-learning)</text>
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                <text>Smartphone Application</text>
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          <element elementId="50">
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                <text>Using M-Learning Technology in Teaching Foreign Languages: A Panacea during COVID-19 Pandemic Era</text>
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            </elementTextContainer>
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            <element elementId="50">
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              <elementTextContainer>
                <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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          <element elementId="39">
            <name>Creator</name>
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              <elementText elementTextId="52540">
                <text>Bauyrzhan , Nauryzbayev</text>
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                <text>Sakysh , Baygamitova</text>
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                <text>Zhanar, Akhmetova</text>
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                <text>Nikolay, Pak</text>
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                <text>Ardak , Karipzhanova</text>
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                <text>Kumys, Urazbaeva</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="52547">
                <text>The relevance of the research under consideration is due to the need to improve the efficiency of the analysis of the quality, and completeness of the knowledge obtained by students when solving computational problems, the example problems in mathematics. The theoretical argumentation is proposed and the practical implementation of an intelligent automated analytical system for analyzing the quality and forecasting the content of educational material and the trajectories of the student's learning direction is described. The relevance of the research is the creation of neural network algorithms that allow analyzing the dynamics of changes in the student's level of formation of skills to solve arithmetic problems. The methods of analyzing the assimilation of educational information and methods of personalized construction of the curriculum for each student are substantiated.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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            <name>Identifier</name>
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            <elementTextContainer>
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                <text>https://online-journals.org/index.php/i-jim/article/view/36065</text>
              </elementText>
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                <text>10.3991/ijim.v16i21.36065</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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                <text>eng</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>A related resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/36065/12241</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="52554">
                <text>Copyright (c) 2022 Nauryzbayev  Bauyrzhan , Baygamitova  Sakysh , Akhmetova   Zhanar, Pak  Nikola, Karipzhanova  Ardak , Urazbaeva  Kumy</text>
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                <text>https://creativecommons.org/licenses/by/4.0</text>
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            <name>Source</name>
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              <elementText elementTextId="52556">
                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 21 (2022); pp. 114-124</text>
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              <elementText elementTextId="52557">
                <text>1865-7923</text>
              </elementText>
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            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="52558">
                <text>Artificial intelligence</text>
              </elementText>
              <elementText elementTextId="52559">
                <text>Informatics</text>
              </elementText>
              <elementText elementTextId="52560">
                <text>Mental schemas</text>
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                <text>Pedagogy</text>
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                <text>Using Machine Learning to Analyze the Learning Process for Solving Mathematical Problems</text>
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            </elementTextContainer>
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            <description>The nature or genre of the resource</description>
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                <text>Peer-reviewed Article</text>
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            <element elementId="50">
              <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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      <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>
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          <element elementId="39">
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              <elementText elementTextId="44001">
                <text>Taha Ahmed, Shaymaa</text>
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                <text>Malallah Kadhem, Suhad</text>
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                <text>2021-08-23</text>
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                <text>— Chest imaging diagnostics is crucial in the medical area due to many serious lung diseases like cancers and nodules and particularly with the current pandemic of Covid-19. Machine learning approaches yield prominent results toward the task of diagnosis. Recently, deep learning methods are utilized and recommended by many studies in this domain. The research aims to critically examine the newest lung disease detection procedures using deep learning algorithms that use X-ray and CT scan datasets. Here, the most recent studies in this area (2015-2021) have been reviewed and summarized to provide an overview of the most appropriate methods that should be used or developed in future works, what limitations should be considered, and at what level these techniques help physicians in identifying the disease with better accuracy. The lack of various standard datasets, the huge training set, the high dimensionality of data, and the independence of features have been the main limitations based on the literature. However, different architectures of deep learning are used by many researchers but, Convolutional Neural Networks (CNN) are still state-of-art techniques in dealing with image datasets.</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>application/pdf</text>
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                <text>https://online-journals.org/index.php/i-jim/article/view/24191</text>
              </elementText>
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                <text>10.3991/ijim.v15i16.24191</text>
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            <name>Language</name>
            <description>A language of the resource</description>
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              <elementText elementTextId="44008">
                <text>eng</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>International Association of Online Engineering (IAOE), Vienna, Austria</text>
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            <description>A related resource</description>
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                <text>https://online-journals.org/index.php/i-jim/article/view/24191/9745</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="44011">
                <text>Copyright (c) 2021 Shaymaa Taha Ahmed, Suhad Malallah Kadhem</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
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            <description>A related resource from which the described resource is derived</description>
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                <text>International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 95-112</text>
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              <elementText elementTextId="44013">
                <text>1865-7923</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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                <text>Lung Disease</text>
              </elementText>
              <elementText elementTextId="44015">
                <text>Machine Learning</text>
              </elementText>
              <elementText elementTextId="44016">
                <text>Deep Learning</text>
              </elementText>
              <elementText elementTextId="44017">
                <text>CT-Images</text>
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                <text>CNN</text>
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                <text>Covid-19</text>
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          <element elementId="50">
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                <text>Using Machine Learning via Deep Learning Algorithms to Diagnose the Lung Disease Based on Chest Imaging: A Survey</text>
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