150 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 Zidoun, Youness Dehbi, Rachid Talea, Mohamed El Arroum, Fatima-Zohra Date A point or period of time associated with an event in the lifecycle of the resource 2019-12-18 Description An account of the resource New technologies are rapidly changing mobile learning and making it difficult to control. In addition to educational factors and learning content, a modern mobile learning system must take into account the technical and personal aspects of learning, the devices and aspects related to its evolution and interoperability. Teaching on the other hand has also evolved involving more flexibility in tasks and learning stages, thus using modern technologies that offer more alternatives now. In addition, such tasks may be specific to the learning content as well as the learning context or furthermore the learner's environment.Traditionally, mobile platform design relies on the skills of a mobile developer whose knowledge allows him to design mobile applications that are useful to users. But with mobile learning, the design phase involves more than just mobile development skills. For example, if you are designing a platform for practical work, the instructors responsible for the training should be involved. However, the empirical results show that educators do not integrate technology effectively into their curricula. To enable these instructors to develop mobile learning platforms, it is important to facilitate their integration through a theoretical model that will take into account all the ingredients necessary to complete this learning and to balance them in order to ensure its efficiency. In this study authors used a thematic synthesis methodology to present a framework for mobile devices integration in learning. They focused on three models that they think are the most cited in the field of ICT (information and communication technologies) integration in learning.The five-axis framework consists of enriching the TPACK framework(Technological Pedagogical Content Knowledge model in order to more precisely address mobile learning by covering the following parts: pedagogy, content, mobile technology, learning environment and learner’s profile. It describes relatively in depth the various factors involved as well as the effective interconnection to be ensured to achieve an optimal and efficient integration of m-learning. Balancing those five parts will be a matter of plural reflection when designing or consulting on a mobile learning platform. 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/10841 10.3991/ijim.v13i12.10841 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/10841/6275 Rights Information about rights held in and over the resource Copyright (c) 2019 YOUNESS ZIDOUN, RACHID DEHBI, MOHAMED TALEA, FATIMA-ZOHRA EL ARROUM Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 12 (2019); pp. 152-170 1865-7923 Subject The topic of the resource M-learning Framework Integration Model Title A name given to the resource Designing a Theoretical Integration Framework for Mobile Learning 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 Deris, Farhana Diana Shukor, Nor Seha A Date A point or period of time associated with an event in the lifecycle of the resource 2019-07-11 Description An account of the resource Vocabulary plays a great role in language learning as learners would face difficulties in language learning if they have insufficient vocabulary knowledge. The advent of new technologies has encouraged the development of mobile assisted language learning (MALL) and the increase in mobile apps for vocabulary learning. Nonetheless, it would seem that there is a dearth in research on the use of mobile apps for vocabulary learning especially in our local contexts. Capitalising on the strength of phenomenological inquiry and a model for technology acceptance, this study investigated several existing mobile apps for language learning. In particular, it looked into students’ acceptance and the features of mobile apps conducive for vocabulary learning. This study employed in-depth interviews and surveys as instruments. Using purposive sampling technique, thirty-three students were selected as participants to experience using mobile apps to learn vocabulary on self-directed basis for a specified duration. At the end of the trial stage, all participants responded to the surveys, and three were interviewed. The accounts given by participants indicated positive acceptance and several desired features. Interestingly, this study also revealed several challenges in learning vocabulary through mobile apps which should be the concern of both apps developers and language teachers. 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/10845 10.3991/ijim.v13i07.10845 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/10845/5780 Rights Information about rights held in and over the resource Copyright (c) 2019 Farhana Diana Deris Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 07 (2019); pp. 129-140 1865-7923 Subject The topic of the resource Vocabulary learning Mobile Assisted Language Learning English as a Second Language Apps features Title A name given to the resource Vocabulary Learning Through Mobile Apps: A Phenomenological Inquiry of Student Acceptance and Desired Apps Features 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 Jantan, Hamidah Baharudin, Nurul Aisyiah Date A point or period of time associated with an event in the lifecycle of the resource 2019-09-05 Description An account of the resource Word matching is a string searching technique for information retrieval in Natural Language Processing (NLP). There are several algorithms have been used for string search and matching such as Knuth Morris Pratt, Boyer Moore, Horspool, Intelligent Predictive and many other. However, there some issues need to be considered in measuring the performance of the algorithms such as the efficiency for searching small alphabets, time taken in processing the pattern of the text and extra space to support a huge table or state machines. Intelligent Predictive (IP) algorithm capable to solve several word matching issues discovered in other string searching algorithms especially with abilities to skip the pre-processing of the pattern, uses simple rules during matching process and does not involved complex computations. Due to those reasons, IP algorithm is used in this study due to the ability of this algorithm to produce a good result in string searching process.  This article aims to apply IP algorithm together with Optical Character Recognition (OCR) tool for mobile-based word matching detection. There are four phases in this study consists of data preparation, mobile based system design, algorithm implementation and result analysis. The efficiency of the proposed algorithm was evaluated based on the execution time of searching process among the selected algorithms. The result shows that the IP algorithm for string searching process is more efficient in execution time compared to well-known algorithm i.e. Boyer Moore algorithm. In future work, the performance of string searching process can be enhanced by using other suitable optimization searching techniques such as Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization and many others. 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/10848 10.3991/ijim.v13i09.10848 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/10848/5896 Rights Information about rights held in and over the resource Copyright (c) 2019 Hamidah Jantan, Nurul Aisyiah Baharudin Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 09 (2019); pp. 140-151 1865-7923 Subject The topic of the resource Intelligent Predictive Natural Language Processing Word matching Mobile-based system Title A name given to the resource Mobile-Based Word Matching Detection using Intelligent Predictive Algorithm 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 Divayana, Dewa Gede Hendra Ariawan, I Putu Wisna Adiarta, Agus Date A point or period of time associated with an event in the lifecycle of the resource 2019-12-18 Description An account of the resource The principal objective of this study was to introduce the existence on development of Countenance evaluation application that can be used to evaluate the moral and quality of students’ computer knowledge by using evaluation indicators which oriented to combining between ANEKA values with the Tri Hita Karana concept. This research was developed by using the Borg & Gall method, which focuses on the stages of creating a mobile web-based evaluation application, field trial stage, and revision stage of field trial results. The subjects involved in creating the application as much as three peoples, subjects involved in the field trial as much as 94 peoples, and subjects involved in the revision of field trial as much as three peoples. The instruments that were used in conducting the assessment on the field trial was in questionnaires form. The technique that was used to analyze the collected data from field trials results using quantitative descriptive techniques by determining the average of percentage from application quality that was compared to a standard score of application quality that refers to eleven’s scale. The study results showed that the quality of the evaluation application belongs to a very good category, so it was ready to be implemented, and it is no need to be done the major revision. 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/10858 10.3991/ijim.v13i12.10858 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/10858/6257 Rights Information about rights held in and over the resource Copyright (c) 2019 Dewa Gede Hendra Divayana Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 12 (2019); pp. 81-103 1865-7923 Subject The topic of the resource Mobile Web Evaluation Application Countenance ANEKA Tri Hita Karana Title A name given to the resource Development of Countenance Application Oriented on Combining ANEKA-Tri Hita Karana as A Mobile Web to Evaluate the Computer Knowledge and Morality 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 Beltrá, Marián Navarro Medina, Irene Garcia Correia, Pedro Pereira Date A point or period of time associated with an event in the lifecycle of the resource 2020-03-12 Description An account of the resource The main goal of this study is to examine the communication that fashion brands make through Facebook. It is intended to ascertain if the fashion brands use a communication strategy based on dialogue with their followers. In order to reach the objectives indicated above, a content analysis has been carried out (quantitative methodology) of 326 publications made through Facebook by H&M, Zara and Ralph Lauren between January 1st and June 30th of 2017. The main results of this work show that, although Facebook has a wide dialogical potential, fashion brands do not use it to a great extent. Although we consider appropriate to have analyzed only the social network Facebook given its importance, this situation could be considered as the main limitation of the present study, since the fashion brands could, or not, be taking advantage of the dialogical potential of other social networks, such as Twitter or Instagram. It could be considered that this research stands out for studying a series of variables that allows organizations to know if they are using the dialogical potential offered by digital communication. 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/10892 10.3991/ijim.v14i04.10892 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/10892/6625 Rights Information about rights held in and over the resource Copyright (c) 2020 Pedro Pereira Correia, Marián Navarro Beltrá, Irene Garcia Medina Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 04 (2020); pp. 30-43 1865-7923 Subject The topic of the resource Fashion Facebook social networks social media Internet corporate communication dialogue stakeholders content analysis Title A name given to the resource The Dialogical Potential of Facebook: The Case of Fashion Brands 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 Rusli, Rusreena Hashim, Harwati Md Yunus, Melor Zakaria, Nur Yasmin Khairani Norman, Helmi Date A point or period of time associated with an event in the lifecycle of the resource 2019-11-15 Description An account of the resource Advances of technology and innovation suggest new form and paths in language teaching. Social media use can be a great influence for English as a Second Language (ESL) students especially in writing competency. Despite of many positive reports that presented affordances in social media use, however, there are insufficient studies that investigate ESL trainee teachers’ perception on this matter. Therefore, this study aimed to investigate ESL pre-service teachers’ views upon leveraging the use of social media in teaching of writing focusing on the opportunities and challenges. This study employed qualitative methods where thirty-four ESL pre-service teachers from a public university were involved. Based on the findings, it can be concluded that ESL pre-service teachers perceived the use of social media in teaching writing can be of beneficial and similarly challenging. Opportunities stated by the participants include enhancement in collaborative learning, supporting students’ self-directed learning and simplify the teaching and learning processes. On the other hand, the challenges mentioned by the participants are that social media can be a source of distraction, deterioration in language and plagiarism. Thus, it is advisable that teachers play their roles responsibly in managing students’ activities online and also be equipped with technology skills to enhance the establishments of social media in ESL teaching of writing. 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/10910 10.3991/ijim.v13i11.10910 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/10910/6017 Rights Information about rights held in and over the resource Copyright (c) 2019 Rusreena Rusli, Harwati Hashim, Melor Md Yunus, Nur Yasmin Khairani Zakaria, Helmi Norman Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 11 (2019); pp. 85-94 1865-7923 Subject The topic of the resource challenges opportunities social media teaching of writing TESL pre-service teachers Title A name given to the resource Leveraging the Use of Social Media in Teaching Writing: A Qualitative Investigation among ESL Pre-Service Teachers 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 Maggay, Jake Guabes Date A point or period of time associated with an event in the lifecycle of the resource 2019-09-05 Description An account of the resource The objective of the study is to evaluate the usability of SMS-Based Auto-Reply Inquiry System for Grades and Accounts. This descriptive study used a three-part questionnaire which was administered by the researcher. The usability questionnaire adapted from the USE Questionnaire used a 5-point scale composed of 30 statements. Convenience sampling was used choosing the respondents from the total population of 149 students of the CICS during the second semester of school year 2018-2019. A total of 45 questionnaires were retrieved and were used in the usability analysis. The usability evaluation results yielded a grand mean of 4.54 (Strongly Agree) showing that the SMS-based inquiry system is easy to learn, easy to use, useful, and satisfying. The results of this study show that pre-coded keywords are confusing for beginners but can be learned and familiarized by the users as they continue use the system. Further investigation should be conducted to prove that ease of use, ease of learning, and usefulness have direct impacts to user satisfaction. 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/10918 10.3991/ijim.v13i09.10918 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/10918/5894 Rights Information about rights held in and over the resource Copyright (c) 2019 Jake Guabes Maggay Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 09 (2019); pp. 113-125 1865-7923 Subject The topic of the resource auto-reply system SMS-based system system performance usability USE questionnaire Title A name given to the resource Usability Evaluation of SMS-Based System: Basis for Systems Development 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 Banane, Mouad Belangour, Abdessamad Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-20 Description An account of the resource In Web 3.0, semantic data gives machines the ability to understand and process data. Resource Description Framework (RDF) is the liagna franca of Semantic Web. While Big Data handles the problematic of storing and processing massive data, it still does not provide a support for RDF data. In this paper, we present a new Big Data semantic web comprised of a classical Big Data system with a semantic layer. As a proof of concept of our approach, we use Mobile-learning as a case study. The architecture we propose is composed of two main parts: a knowledge server and an adaptation model. The knowledge server allows trainers and business experts to represent their expertise using business rules and ontology to ensure heterogeneous knowledge. Then, in a mobility environment, the knowledge server makes it possible to take into account the constraints of the environment and the user constraints thanks to the RDF exchange format. The adaptation model based on RDF graphs corresponds to combinatorial optimization algorithms, whose objective is to propose to the learner a relevant combination of Learning Object based on its contextual constraints. Our solution guarantees scalability, and high data availability through the use of the principle of replication. The results obtained in the system evaluation experiments, on a large number of servers show the efficiency, scalability, and robustness of our system if the amount of data processed is very large. 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/10922 10.3991/ijim.v14i01.10922 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/10922/6363 Rights Information about rights held in and over the resource Copyright (c) 2020 mouad banane, abdessamad belangour Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 01 (2020); pp. 126-140 1865-7923 Subject The topic of the resource Mobile Learning Semantic Web e-learning Big Data RDF Title A name given to the resource Towards a New Scalable Big Data System Semantic Web Applied on Mobile Learning 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 Kongsoontornkijkul, Kritika Pichyangkura, Rath Vadhanasindhu, Pakpachong Vanichbuncha, Kanlaya Date A point or period of time associated with an event in the lifecycle of the resource 2019-11-15 Description An account of the resource Empirical research methods were used to study the Thailand Talent Mobility Programme and critical factors effecting participation in the project; from the perspectives of academic researchers in Science, Technology, and Innovation, in order to strengthen the competitiveness of technological innovation in Thailand. On the basis of questionnaire surveys of 58 universities and 17 research institutes, 613 academic researchers across the country responded the survey. All responses were analyzed through factor analysis and regression analysis methods. We conducted a thorough study of the impact of all factors to successful programme participation. This research study also identifies recommendations and solutions for successful personnel sharing models in Thailand. A mobile web for innovative university assessment system is also introduced as a supporting tool. 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/10924 10.3991/ijim.v13i11.10924 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/10924/6011 Rights Information about rights held in and over the resource Copyright (c) 2019 Kritika Kongsoontornkijkul, Rath Pichyangkura, Pakpachong Vadhanasindhu, Kanlaya Vanichbuncha Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 11 (2019); pp. 34-50 1865-7923 Subject The topic of the resource University-Industry Linkage (UIL) Knowledge Management (KM) University-Industry Collaboration (UIC) Talent Mobility (TM) National Research Univer-sity (NRU) Personnel Sharing Model University Assessment System Mobile Web Title A name given to the resource Developing A Mobile Web for Innovative University Assessment System: Thailand Talent Mobility Programme 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 Nosseir, Ann Fathy, Yahia Date A point or period of time associated with an event in the lifecycle of the resource 2020-02-10 Description An account of the resource Identifying students at risk or potentials excellent students is increasingly important for higher education institutions to meet the needs of the students and develop efficient learning strategy. Early stage prediction can give an indication of the students’ performance during their study years. This helps tailoring an appropriate learning strategy for different groups.This work develops a novel framework for a mobile app to predict the students’ performance before starting the Universities’ education. The framework is built on a University’s students data from year 2009-2017. It has three main components, namely, a neural network model that predicts the GPA, a mobile App that tests basic knowledge in different domains, and a fuzzy model that estimates the future students’ performance.  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/10940 10.3991/ijim.v14i02.10940 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/10940/6445 Rights Information about rights held in and over the resource Copyright (c) 2020 Ann Nosseir, Yahia Fathy Source A related resource from which the described resource is derived International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 02 (2020); pp. 4-18 1865-7923 Subject The topic of the resource A mobile App Predictive systems Fuzzy algorithm Neural Network Peda-gogy Title A name given to the resource A Mobile Application for Early Prediction of Student Performance Using Fuzzy Logic and Artificial Neural Networks Type The nature or genre of the resource info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article