92 10 1981 Dublin Core 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/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core 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/. Creator An entity primarily responsible for making the resource Octaberlina, Like Raskova Rofiki, Imam Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-12 Description An account of the resource For students of English as a Foreign Language (EFL), vocabulary mastery is an essential component of language skills. Vocabulary may contribute to the success of language skills. However, most students had some trouble learning vocabulary. Vocabulary learning requires an advanced technology such as online game. Therefore, this paper aims to investigate the outcome of using an online game named SpellingCity to enrich vocabulary, which is a part of modern gamification. The research design is to have 22 students finish one turn game of SpellingCity and then fill out a survey and interview at the end of the data collection process. The result was that all students agree that using SpellingCity increase their vocabulary acquisition besides of also learning the pronunciation. SpellingCity simple interface design is also found to be one of the factors why SpellingCity considered interesting and easy to play by these students. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/17513 10.3991/ijim.v15i01.17513 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/17513/8545 Rights Information about rights held in and over the resource Copyright (c) 2021 Like Raskova Octaberlina, Imam Rofiki Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 01 (2021); pp. 168-183 1865-7923 Subject The topic of the resource EFL online game language learning SpellingCity vocabulary Title A name given to the resource Using Online Game for Indonesian EFL Learners to Enrich Vocabulary Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core 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/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core 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/. Creator An entity primarily responsible for making the resource Japar, Muhammad Kardiman, Yuyus Raharjo, Raharjo Fadhillah, Dini Nur Syarifa, Syifa Date A point or period of time associated with an event in the lifecycle of the resource 2021-02-12 Description An account of the resource This study aims to describe the process of developing mobile learning on social tolerance material in higher education. Data collection was carried out using the Instructional Development Institute model Grabowski. The control class learning outcomes of 40 students get an average value of 73.25, while the experimental class learning outcomes of 40 students get an average value of 83.25. Furthermore, to find out the significance of the differences in learning outcomes between the two classes, a t-test was performed by conducting a normality test and a homogeneity test. Significant value is obtained for the control class of 0.153 and the experimental class of 0.601, so it can be concluded that the data are normally distributed because > 0.05. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/17509 10.3991/ijim.v15i03.17509 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/17509/8711 Rights Information about rights held in and over the resource Copyright (c) 2021 Muhammad Japar, Yuyus Kardiman, Raharjo Raharjo, Dini Nur Fadhillah, Syifa Syarifa Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 03 (2021); pp. 84-96 1865-7923 Subject The topic of the resource mobile learning social tolerance higher education Title A name given to the resource Interactive Mobile Technologies on Civic Education Learning in Higher Education Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core 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/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core 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/. Creator An entity primarily responsible for making the resource Budiman, Edy Date A point or period of time associated with an event in the lifecycle of the resource 2020-11-24 Description An account of the resource Information about network availability and the amount of internet data usage is very important for planning and implementing management of free internet data assistance programs in the COVID-19 pandemic for students. Research Objectives to analyze for the mobile data usage in online learning (Zoom cloud meetings apps) during the COVID-19 pandemic at Higher Education institutions. The results study revealed that access to online learning using the Zoom cloud meeting apps for 1-minute internet data usage of 5.02bB for a meeting duration of 40 minutes and for a meeting duration of 60 minutes (1 hour) of 13.66 Mb. The measurement results are then used as a reference in the internet data assistance program for students as an effort in supporting the online learning process (Learning-From-Home), objective and proportionate in its distribution to beneficiaries Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/17499 10.3991/ijim.v14i19.17499 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/17499/8209 Rights Information about rights held in and over the resource Copyright (c) 2020 Edy Budiman Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 19 (2020); pp. 4-17 1865-7923 Subject The topic of the resource zoom meeting data usage online learning covid-19 Title A name given to the resource Mobile Data Usage on Online Learning during COVID-19 Pandemic in Higher Education Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core 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/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core 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/. Creator An entity primarily responsible for making the resource Amin, Ahmad Kholiqul Sudana, I Nyoman Degeng Setyosari, Punaji Djatmika, Ery Tri Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-12 Description An account of the resource This study aimed to examine the effectiveness of mobile blended compared to conventional problem-based learning on mathematical problem-solving skills and look for students' responses about the use of online learning. The study was conducted using a pretest-posttest quasi-experimental research design supported with descriptive qualitative responses involving 188 students taken by applying cluster random sampling as subjects of research distributed from vocational high schools in Bojonegoro City, East Java, Indonesia. Research findings revealed that mathematical problem-solving skills for students treated with mobile blended problem-based learning were higher than those who have been treated with purely problem-based learning. In addition, students have responded positively to the usage of mobile blended problem-based learning that was applicable and acceptable for effectively improving mathematical problem-solving skills. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/17437 10.3991/ijim.v15i01.17437 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/17437/8539 Rights Information about rights held in and over the resource Copyright (c) 2021 Ahmad Kholiqul Amin, I Nyoman Degeng Sudana, Punaji Setyosari, Ery Tri Djatmika Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 01 (2021); pp. 119-141 1865-7923 Subject The topic of the resource Mobile learning blended learning problem-based learning problem-solving Title A name given to the resource The Effectiveness of Mobile Blended Problem Based Learning on Mathematical Problem Solving Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core 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/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core 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/. Creator An entity primarily responsible for making the resource Pérez-Jorge, David Rodríguez-Jiménez, María del Carmen Gutiérrez-Barroso, Josué Castro-León, Fátima Date A point or period of time associated with an event in the lifecycle of the resource 2020-12-11 Description An account of the resource Information and Communication Technologies (ICT) have become essential tools for the development of quality educational practices. The special situation of COVID-19 has evidenced the problem of the teacher training. This work investigates the perception of the future teachers of Early Childhood Education about the use of ICT and the policies developed by the Government of the Canary Islands regarding the provision of resources, materials and training. The study had a sample of 110 teachers in training from the University of La Laguna, the results showed agreement regarding the quality and quantity of training received, however, despite not showing interest in continuous training in ICT, they consider fundamentally mastering this competence to improve the quality of the educational response in the Canary Islands. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/17339 10.3991/ijim.v14i20.17339 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/17339/8357 Rights Information about rights held in and over the resource Copyright (c) 2020 David Pérez-Jorge, María del Carmen Rodríguez-Jiménez, Josué Gutiérrez-Barroso, Fátima Castro-León Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 20 (2020); pp. 35-49 1865-7923 Title A name given to the resource Training in Digital Skills in Early Childhood Education Teachers: The Case of the University of La Laguna Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core 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/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core 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/. Creator An entity primarily responsible for making the resource Mingsiritham, Kemmanat Chanyawudhiwan, Gan Paiwithayasiritham, Chaiyos Date A point or period of time associated with an event in the lifecycle of the resource 2020-12-11 Description An account of the resource This research aimed to study factor analysis of smart social media technology to promote professional learning communities for teachers.   The sample included 900 teachers in basic education, selected by Simple   Random Sampling method. The sample group was divided for exploratory   factor analysis (EFA) and confirmatory factor analysis (CFA), 450 each. Research tool was a questionnaire with 5 levels of rating scale. Data were analyzed by exploratory factor analysis and confirmatory factor analysis. The results of the study revealed that: 1. Exploratory factor analysis of smart social media technology to promote professional learning communities for teachers consisted of 7 components: 1) professional learning communities for teacher, 2) cloud technology, 3) augmented reality, 4) internet of thing, 5) social  technology, 6) data analytics technology, and 7) mobile technology and 2. Confirmatory factor analysis of smart social media technology to promote  professional learning communities for teachers (SMPLC) found that the model was consistent with the empirical data ( =6.17, df=6, p=0.405). Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/17253 10.3991/ijim.v14i20.17253 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/17253/8371 Rights Information about rights held in and over the resource Copyright (c) 2020 kemmanat Mingsiritham, Gan Chanyawudhiwan, Chaiyos Paiwithayasiritham Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 20 (2020); pp. 165-173 1865-7923 Subject The topic of the resource Smart technology Social media Professional learning communities Title A name given to the resource Factor Analysis of Smart Social Media Technology to Promote Professional Learning Communities for Teachers Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Non-refereed Article Dublin Core 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/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core 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/. Creator An entity primarily responsible for making the resource Puttinaovarat, Supattra Sriklin, Teerawad Dangtia, Sompop Khaimook, Kanit Date A point or period of time associated with an event in the lifecycle of the resource 2020-12-11 Description An account of the resource Every flood causes damages to many lives and properties. Moreover, it affects the economy and lifestyle of people in the society in a short period and a long period. In consequence, this research would demonstrate techniques and flood detection analyzed through digital images and web application development for receiving reports and inspection of flood situation in every area. The process requires crowdsource data and uses 3S technology so it will receive the accurate and real-time data for making a decision in the flood management and aids to the people in the disastrous area. In this research, Convolutional neural network was applied for flood detection and classification using digital images and data from people or the victims. According to the study, it was found that convolutional neural network for flood classification has accuracy of data at the high level or 95.50%, 93.00%, 97.89%, and 0.91 which are the results of accuracy, producer accuracy, user accuracy, and kappa statistics, respectively. Besides, the use of this technique saves cost, time, and labors. Furthermore, the method could be applied to other disasters such as landslide, earthquake, and fire. It is able to monitor the incident in each type of disasters and also examines the damaged site after the incident. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/17243 10.3991/ijim.v14i20.17243 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/17243/8373 Rights Information about rights held in and over the resource Copyright (c) 2020 Supattra Puttinaovarat, Teerawad Sriklin, Sompop Dangtia, Kanit Khaimook Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 20 (2020); pp. 117-134 1865-7923 Subject The topic of the resource Flood Identification CNN Crowdsource Data GIS Title A name given to the resource Flood Disaster Identification and Decision Support System using Crowdsource Data Based on Convolutional Neural Network and 3S Technology Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core 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/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core 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/. Creator An entity primarily responsible for making the resource Enaya, Yaser Ali Jawad Mohammed, Mohammed Bilal, Ghassan Abdulhussein Date A point or period of time associated with an event in the lifecycle of the resource 2020-11-24 Description An account of the resource This study introduces a novel authentication methodology; it is based on pattern recognition of fingers size and pressure when users touch smartphone screen. By analyzing diagrams of these touches and applying data mining for the first time as an authentication technique, this paper presents three new approaches. First, an exact-range evaluation approach has been verified that size is more recognition consistency than pressure. Second, a pattern-range is a new technique reliance on size frequency position. At last, using a size-range has been facilitated the login. The association rules have been modified to work on finger touchscreen data files. To login, 94.1111% of 18 authorized users are succeeded and 98.9% of 20 unauthorized users are failed. Android device and Android studio are used. Size and pressure are normalized to 1; a training set is applied; the password is not considered. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/17239 10.3991/ijim.v14i19.17239 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/17239/8229 Rights Information about rights held in and over the resource Copyright (c) 2020 Yaser Ali Enaya, Yaser Ali Enaya, Mohammed jawad Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 19 (2020); pp. 163-179 1865-7923 Subject The topic of the resource data trace support factor confidence factor training set exact-range size-range pattern-range Title A name given to the resource Password-free Authentication for Smartphone Touchscreen Based on Finger Size Pattern Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core 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/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core 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/. Creator An entity primarily responsible for making the resource Alotaibi, Reem Ali, Ahlam Alharthi, Haya Almehamdi, Renad Date A point or period of time associated with an event in the lifecycle of the resource 2020-11-24 Description An account of the resource Chatbots have gained increasing importance in today research with a lot of available applications. They are flexible and can be applied in many application domains.  In tourism, Chatbots can recommend sights, hotels, activities, or even full travel plans. Usually, users are required to visit plenty of websites and install different Apps into their mobile phones in order to navigate the city and planning for the trip which is inconvenient and time-consuming. To address this issue, this paper proposes “Smart Guidance”, an AI text-based chatbot that is developed as a mobile application. It simulates a chat with users in a natural language, it also provides a two-way interaction and it is a single point of contact for all user communications. We provide a use case in the city of Jeddah, Saudi Arabia. Jeddah is the second largest city in Saudi Arabia and tourists have various choices when it comes to moving around the city. The final evaluation of the chatbot showed that the bot could understand meanings and users’ requests. Moreover, users found that the interaction is effective, and the responses are provided immediately. Users were satisfied and like the idea that they could express their needs in their natural language. Furthermore, users enjoyed the interaction and felt engaged. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/17201 10.3991/ijim.v14i19.17201 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/17201/8211 Rights Information about rights held in and over the resource Copyright (c) 2020 Reem Alotaibi, Ahlam Ali, Haya Alharthi, Renad Almehamdi Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 19 (2020); pp. 18-30 1865-7923 Subject The topic of the resource Tourism Chatbot Natural Language Processing Machine learning Jeddah Title A name given to the resource AI Chatbot for Tourist Recommendations: A Case Study in the City of Jeddah, Saudi Arabia Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Dublin Core 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/. Title A name given to the resource International Journal of Interactive Mobile Technologies (iJIM) Dataset Data encoded in a defined structure. Examples include lists, tables, and databases. A dataset may be useful for direct machine processing. Dublin Core 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/. Creator An entity primarily responsible for making the resource Saleh Hussein, Ameer Salah Khairy, Rihab Mohamed Najeeb, Shaima Miqdad Alrikabi, Haider Th.Salim Date A point or period of time associated with an event in the lifecycle of the resource 2021-03-16 Description An account of the resource The global online communication channel made possible with the internet has increased credit card fraud leading to huge loss of monetary fund in their billions annually for consumers and financial institutions. The fraudsters constantly devise new strategy to perpetrate illegal transactions. As such, innovative detection systems in combating fraud are imperative to curb these losses. This paper presents the combination of multiple classifiers through stacking ensemble technique for credit card fraud detection. The fuzzy-rough nearest neighbor (FRNN) and sequential minimal optimization (SMO) are employed as base classifiers. Their combined prediction becomes data input for the meta-classifier, which is logistic regression (LR) resulting in a final predictive outcome for improved detection. Simulation results compared with seven other algorithms affirms that ensemble model can adequately detect credit card fraud with detection rates of 84.90% and 76.30%. Format The file format, physical medium, or dimensions of the resource application/pdf Identifier An unambiguous reference to the resource within a given context https://online-journals.org/index.php/i-jim/article/view/17173 10.3991/ijim.v15i05.17173 Language A language of the resource eng Publisher An entity responsible for making the resource available International Association of Online Engineering (IAOE), Vienna, Austria Relation A related resource https://online-journals.org/index.php/i-jim/article/view/17173/8827 Rights Information about rights held in and over the resource Copyright (c) 2021 Haider Th.Salim Alrikabi, Ameer Saleh Hussein, Rihab Salah Khairy Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 05 (2021); pp. 24-42 1865-7923 Subject The topic of the resource Fraud detection Credit card Ensemble technique Stacking Machine learning Title A name given to the resource Credit Card Fraud Detection Using Fuzzy Rough Nearest Neighbor and Sequential Minimal Optimization with Logistic Regression Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article