168 10 3575 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 Dirin, Amir Saballe, Charlese Adriana Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-18 Description An account of the resource Selecting a proper study path in higher education is a difficult task for many students. They either have a lack of knowledge on the study path offered or are unsure of their interest in the various options. The current educational setups enable us to collect valid and reliable data on student success and learning behaviour. This study explores and solves the problem of what path to select by proposing possible study paths with the help of machine learning algorithms.  Learning analytics (LA) and educational data mining (EDM) are technologies that aid in the analysis of educational data. In this quantitative study, we applied a questionnaire to collect data from students at the Business Information Technology Department (Bite) at the Haaga-Helia University of Applied Science. We managed to collect 101 samples from students during 2017–2018. We used various machine learning algorithms and prediction models to assess the best approach for study path selection.  We applied three performance scores of accuracy, Cohen’s Kappa, and ROC curve to measure the accuracy of the algorithm results. KNIME analytics was selected as a proper tool to pre-process, prepare, analyse, and model the data. The results indicate that Random Forest (94% accuracy) and Decision Tree (93% accuracy) are the best classification models for students’ study path selection. The contribution of this study is for educational data mining research to assess the comparison of various algorithms. Furthermore, this is a novel approach to predict students’ study path selection, which educational institutes should develop to assist students in their study path selection. 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/20121 10.3991/ijim.v16i01.20121 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/20121/10563 Rights Information about rights held in and over the resource Copyright (c) 2021 Amir Dirin, Charlese Adriana Saballe https://creativecommons.org/licenses/by/4.0 Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 16 No. 01 (2022); pp. 158-183 1865-7923 Subject The topic of the resource educational data mining decision trees random forest and logistic regressions Title A name given to the resource Machine Learning Models to Predict Students’ Study Path Selection 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 Arifin, Moch. Bahak Udin By Sholeh, Makherus Hafiz, Abdul Agustin, Ririn Dwi Wardana, Mahardika Darmawan Kusuma 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 The research aimed to develop interactive multimedia based on scientific inquiry to improve student mathematics problem-solving as a provision for the era of Society 5.0. The research method used is the Agile Method, which is a software development method. This study involved 120 students from the first, second, to third years who were programming mathematics-related subjects at the Madrasah Ibtidaiyah Teacher Education department, Universitas Muhammadiyah Sidoarjo. The results of the development of Interactive Mobile Mathematics Inquiry (IMMI) were valid and proven to improve student problem-solving abilities. In particular, this increase is significant in planning and implementing student plans for a problem. The significance is due to the training in the inquiry aspects during the use of IMMI. The implication of this research in the field of educational technology is that IMMI can be a preliminary study and a pioneer for lecturers, experts, and practitioners to use and further develop IMMI to improve students' mathematical problem-solving skills at the tertiary level more broadly as preparation for media availability following the values of technological advances in the future Society 5.0 era. 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/20067 10.3991/ijim.v15i01.20067 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/20067/8525 Rights Information about rights held in and over the resource Copyright (c) 2021 Moch. Bahak Udin By Arifin, Makherus Sholeh, Abdul Hafiz, Ririn Dwi Agustin, Mahardika Darmawan Kusuma Wardana Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 01 (2021); pp. 24-38 1865-7923 Subject The topic of the resource Interactive mobile mathematics problem solving Society 5.0 era Title A name given to the resource Developing Interactive Mobile Mathematics Inquiry to Enhance Students' Problem-solving Skill 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 Ayyal Awwad, Aiman Mamdouh Date A point or period of time associated with an event in the lifecycle of the resource 2021-07-28 Description An account of the resource Recently, the study of emotional recognition models has increased in the human-computer interaction field. With high recognition accuracy of emotions’ data, we could get immediate feedback from mobile users, get a better perception of human behavior while interacting with mobile apps, and thus make the user experience design more adaptable and intelligent. The harnessing of emotional recognition in mobile apps can dramatically enhance users’ experience. Therefore, in this paper, we propose a visual emotion-aware cloud localization user experience framework based on mobile location services. An important feature of our proposed framework is to provide a personalized mobile app based on the user’s visual emotional changes. The framework captures the emotion-aware data, process them in the cloud server, and analyze them for an immediate localization process. The first stage in the framework builds a correlation between the application’s default language and the user’s visual emotional feedback. In the second stage, the localization model loads the appropriate application’s resources and adjusts the screen features based on the real-time user’s emotion obtained in the first stage and according to the location data that the app collected from the mobile device. Our experiments demonstrate the effectiveness of the proposed framework. The results show that our proposed framework can provide a high-quality application experience in terms of a user’s emotional levels and deliver an excellent level of usability that was before not possible. 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/20061 10.3991/ijim.v15i14.20061 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/20061/9609 Rights Information about rights held in and over the resource Copyright (c) 2021 Aiman Mamdouh Ayyal Awwad Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 14 (2021); pp. 140-156 1865-7923 Subject The topic of the resource Emotion Recognition User Experience Cloud Localization Mobile Application Location-Based Services. Title A name given to the resource Visual Emotion-Aware Cloud Localization User Experience Framework Based on Mobile Location Services 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 Gan, Kok Beng Mohd, Syahril Amir Ng, Tze Yee Date A point or period of time associated with an event in the lifecycle of the resource 2021-05-04 Description An account of the resource Traditional temperature monitoring system for blood delivery requires a USB cable to extract data after delivery has been completed. Without real-time temperature data during delivery, the quality of the products cannot be monitored efficiently. In this paper, we have designed and developed a mobile application-based temperature monitoring system for medical needs delivery. It has a mobile application to display temperature data in real-time. The system includes Arduino Uno, DHT22, DS3231, microSD card adapter and ESP8266 Wi-Fi module. The temperature and humidity data were stored in the microSD card and ThingSpeak server for further analysis. A mobile application allowed users to visualized and monitor the temperature of the payload during delivery. For the system test and evaluation purpose, the developed temperature monitoring system was placed inside a polystyrene box. The temperature and humidity data were acquired using DHT22 and Fluke t3000 fc in cold and ambient temperature for 30 minutes with a sampling time of 2 seconds in the polystyrene box. The results showed that the correlations error 0.96 and 1.00, respectively. Finally, we showed that the developed temperature monitoring system can capture and record temperature data in real-time. It is reliable and comparable to a high-end temperature monitor. 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/20039 10.3991/ijim.v15i09.20039 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/20039/9155 Rights Information about rights held in and over the resource Copyright (c) 2021 Kok Beng Beng Gan, Syahril Amir Mohd, Tze Yee Ng Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 09 (2021); pp. 103-117 1865-7923 Subject The topic of the resource temperature monitoring system location service blood delivery internet of things mobile application Title A name given to the resource Apps-Based Temperature Monitoring System with Location Services for Medical Needs Delivery Using Drone 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 Khan, Ijaz Muhammad Ahmad, Abdul Rahim Jabeur, Nafaa Mahdi, Mohammed Najah Date A point or period of time associated with an event in the lifecycle of the resource 2021-08-11 Description An account of the resource One of the important key applications of learning analytics is offering an opportunity to the institutions to track the student’s academic activities and provide them with real-time adaptive consultations if the student academic performance diverts towards the inadequate outcome. Still, numerous barriers exist while developing and implementing such kind of learning analytics applications. Machine learning algorithms emerge as useful tools to endorse learning analytics by building models capable of forecasting the final outcome of students based on their available attributes. The machine learning algorithm’s performance demotes with using the entire attributes and thus a vigilant selection of predicting attributes boosts the performance of the produced model. Though, several constructive techniques facilitate to identify the subset of productive attributes, however, the challenging task is to evaluate if the prediction attributes are meaningful, explicit, and controllable by the students. This paper reviews the existing literature to come up with the student’s attributes used in developing prediction models. We propose a conceptual framework which demonstrates the classification of attributes as either latent or dynamic. The latent attributes may appear significant but the student is not able to control these attribute, on the other hand, the student has command to restrain the dynamic attributes. Each of the major class is further categorized to present an opportunity to the researchers to pick constructive attributes for model development. 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/20019 10.3991/ijim.v15i15.20019 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/20019/9655 Rights Information about rights held in and over the resource Copyright (c) 2021 Ijaz Muhammad Khan, Abdul Rahim Ahmad, Nafaa Jabeur, Mohammed Najah Mahdi Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 15 (2021); pp. 4-19 1865-7923 Subject The topic of the resource Learning analytics Student performance prediction Academic analytics Machine learning Title A name given to the resource A Conceptual Framework to Aid Attribute Selection in Machine Learning Student Performance Prediction Models 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 Novikova, Olga Kalugina, Yuliya Mustafina, Albina Edeleva, Irina 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 present article is concerned with identifying the linguistic and extralinguistic features of Instagram, Twitter, and Live Journal hypertexts, depending on their functional focus. The relevance of the topic is due to the need for a more detailed study of Internet communication from the point of view of functional and stylistic aspects. The study provides a comparative analysis of Instagram, Twitter, and Live Journal online services based on the Russian language material. The results are correlated with the questionnaire data on the studied problem. The article discusses graphic, lexical, stylistic, syntactic, and spelling features. The authors conducted a comparative analysis of the hypertexts of Instagram, Twitter, and Live Journal online services in the context of their functions; identified linguistic and extralinguistic features of the hypertext of the services under study; established the relationship between the language of the text and the function implemented. It has been established that all three online services perform, first of all, a communicative function, which is expressed through the use of slang, vernacular, online discourse vocabulary, graphic means, markers of increased emotionality, recreation of a specific accent/dialect, spelling and punctuation violations, incomplete, unextended sentences. Along with the socialization function, Instagram performs the function of self-presentation, for the implementation of which the authors of publications resort to linguistic creativity. Unlike Instagram, Twitter, and Live Journal fulfill a more political function, expressed in stylistic devices such as metaphor, comparison, irony, hyperbole, and repetition. The results were verified using a questionnaire survey conducted among Russian 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/20013 10.3991/ijim.v15i05.20013 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/20013/8833 Rights Information about rights held in and over the resource Copyright (c) 2021 Olga Novikova, Yuliya Kalugina, Albina Mustafina, Irina Edeleva Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 05 (2021); pp. 66-86 1865-7923 Title A name given to the resource Linguistic Analysis of Insta, Twit Posts and LJ Blogs in the Context of Their Functions (Based on the Russian Language) 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 Fethellah, Nour El Houda Bouziane, Hafida Chouarfia, Abdallah Date A point or period of time associated with an event in the lifecycle of the resource 2021-11-09 Description An account of the resource The Information Centric Networking ICN architectures are proposed to overcome the problems of the actual internet architecture. One of the main straight points of the ICN architectures is the in-network caching. The ICN performance is influenced by efficiency of the adopted caching strategy which manages the contents in the network and decides where caching them. However, the major issue which faces the caching strategies in the ICN architectures is the strategic election of the cache routers to store the data through its delivery path. This will reduce congestion, optimize the distance between the consumers and the required data furthermore improve latency and alleviate the viral load on the servers.  In this paper, we propose a new efficient caching strategy for the Named Data Networking architecture NDN named NECS which is the most promising architecture between all the ICN architectures. The proposed strategy reduces the traffic redundancy, eliminates the useless replication of contents and improves the replay time for users due to the strategic position of cache routers. Besides, we evaluate the performance of this proposed strategy and we compare it with three other NDN caching strategies, using the simulator network environment NdnSIM. On the basis of the simulations carried out, we obtained interesting and convincing results. 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/20011 10.3991/ijim.v15i21.20011 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/20011/10187 Rights Information about rights held in and over the resource Copyright (c) 2021 Nour El Houda Fethellah, Hafida Bouziane, Abdallah Chouarfia Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 21 (2021); pp. 172-187 1865-7923 Subject The topic of the resource ICN NDN Caching Strategy In-Network Caching Cache Management Policies Title A name given to the resource NECS-based Cache Management in the Information Centric Networking 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 Nguyen, Thuy Thi Thanh Takashi, Yukawa Date A point or period of time associated with an event in the lifecycle of the resource 2021-05-04 Description An account of the resource Abstract – In the era of technology, learning can be supported with mobile devices inside and outside of the classroom. In the hope of taking advantage of technology advances, teachers worldwide have integrated technologies into teaching to effectively deliver lesson content and address students’ needs. However, few non-native learners are exposed to mobile devices to optimize self-studying English outside the classroom. Thus, the present paper conducts a case study to look into mobile devices’ applications to enhance self-studying English as a foreign language. The study participants included 26 Japanese and Vietnamese learners divided into two groups over 15 weeks. Quantitative and qualitative methods were used to analyze and compare the results with R-Studio statistics software. The present study sought to encourage collaboration and foster the  autonomy of learners with mobile devices’ assistance as supporting language self-learning tools. The findings of the present research will be discussed in terms of the efficiency and potentials of mobile devices as supportive tools outside of classroom activities among Vietnamese and Japanese students as non-native learners of English. 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/19993 10.3991/ijim.v15i09.19993 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/19993/9151 Rights Information about rights held in and over the resource Copyright (c) 2021 Thuy Thi Thanh Nguyen, Yukawa Takashi Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 09 (2021); pp. 70-87 1865-7923 Subject The topic of the resource non-native learners mobile devices self-study EFL positive attitudes potentials Title A name given to the resource Mobile Devices Applied in Self-Studying English as a Foreign Language Among Non-Native Students in Vietnam and Japan 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 Najm, Hayder Hoomod, Haider K. Hassan, Rehab Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-26 Description An account of the resource The concept Web of Things (WoT) goes well beyond the emphasis on the Internet as a means of sharing data, instead of introducing all resources and connections involving computers, data, and people to the Web. It, therefore, focuses on a range of problems and opportunities, thus paving the way for several exciting industries applications.  In cryptography a range of main characteristics of chaotic systems such as non-linearity, initial condition sensitivity, and mixing properties are available. These characteristics provide an essential connection between cryptography and chaos. GOST block cipher is based on secret key secrecy. However, when the encryption process with the same key is used for plaintext, the same cipher text is created. Message replication can be easily detected by an adversary who is a bad link in every communication. In this paper, propose to use a 5d chaotic system combined with GOST block cipher to create a new secure Web of Things (WoT) cryptography system. The 5D chaotic system was used to generate chaotic random keys used in GOST algorithm to provide proper security with as high hardness randomly enhances the NIST fifteen statistical tests and modifies key schedule as security operations. 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/19961 10.3991/ijim.v15i02.19961 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/19961/8655 Rights Information about rights held in and over the resource Copyright (c) 2021 Haider Th.Salim Alrikabi, Hayder Najm, Haider K. Hoomod, Rehab Hassan Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 02 (2021); pp. 184-199 1865-7923 Subject The topic of the resource Web of Things (WoT) information security cryptography block cipher GOST algorithm and chaotic system Title A name given to the resource A New WoT Cryptography Algorithm Based on GOST and Novel 5d Chaotic System 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 Nik Ahmad, Nik Azlina Hussaini, Muhammad Date A point or period of time associated with an event in the lifecycle of the resource 2021-05-04 Description An account of the resource The advancement in technology has produced innovative applications for educational purpose. Numerous higher education applications have aroused in recent years. Therefore, it is essential to strive for a high usability application. This study presents a usability evaluation of a higher education mobile application in Universiti Kuala Lumpur. The study was conducted using usability testing methodology to measure three usability factors which are effectiveness, efficiency and satisfaction. A number of 64 participants from postgraduate and undergraduate programme were subjectively selected. The result reveals that the application is effective, efficient and meet the users’ satisfaction on its usability, with the satisfaction rate of 82.15%. Several issues with regard to the application were highlighted by the respondents during the usability test. Therefore, despite of positive results, several recommendations with regards to improve the usability of the application were proposed in this study. 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/19943 10.3991/ijim.v15i09.19943 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/19943/9153 Rights Information about rights held in and over the resource Copyright (c) 2021 Nik Azlina Nik Ahmad Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 09 (2021); pp. 88-102 1865-7923 Subject The topic of the resource Usability usability testing mobile usability higher education app Title A name given to the resource A Usability Testing of a Higher Education Mobile Application Among Postgraduate and Undergraduate Students Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article