1 10 5 https://repository.horizon.ac.id/files/original/68c5c8f530e7a3078131e4e8d8154f83.pdf 9adb06720c6398fc3072d13c78a0579e 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 VOL. 14 NO. 2 (2025): JUNE 2025 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 A Systematic Review of Predictive Factors for Learner Attrition in Online Learning: Insights for Machine Learning Models Subject The topic of the resource Learner Attrition, online learning, dropout, e-learning retention Description An account of the resource Over the past ten years, online education has expanded rapidly due to its accessibility, scalability, and flexibility. Despite its potential, high attrition rates in online education threaten both student progress and the legitimacy of the institution. A comprehensive analysis of empirical research on the factors influencing learner attrition in online learning settings is presented in this study. To identify the individual, course-level, institutional, and technical causes of attrition, it incorporates and categories the body of existing work. The results point to the complex aetiology of attrition and identify important domains for focused intervention and predictive modelling Creator An entity primarily responsible for making the resource Stanley Munga Ngigi Publisher An entity responsible for making the resource available School of Pure and Applied Sciences Kirinyaga University, Kutus, Kenya Date A point or period of time associated with an event in the lifecycle of the resource june 2025 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/159f0dc99382f1ef229b677560820d43.pdf 0ef40f67de524b2927a876382e883863 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 VOL. 14 NO. 2 (2025): JUNE 2025 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 An Ensemble Predictive Model for Learner Attrition in Online Learning Subject The topic of the resource learner attrition, ensemble learning, gradient boosting, neural networks, online education, predictive modeling. Description An account of the resource To increase student retention and the success of online learning initiatives, it is critical to make very accurate predictions about learner attrition. In order to put early intervention strategies into place, universities must identify students who are likely to withdraw early. A number of variables, such as academic achievement, demographic traits, and engagement metrics, affect how accurately learner attrition is predicted. Effective prediction models will be developed by analysing these characteristics using machine learning techniques. Creator An entity primarily responsible for making the resource Stanley Munga Ngigi Source A related resource from which the described resource is derived https://ijcit.com/index.php/ijcit/article/view/521 Publisher An entity responsible for making the resource available School of Pure and Applied Sciences Kirinyaga University, Kutus, Kenya Date A point or period of time associated with an event in the lifecycle of the resource june 2025 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/cffef2b0acf82a3d2fc3b3cbde02e089.pdf 52895b5306f9d9116ea7ce7131aa810d 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 VOL. 14 NO. 2 (2025): JUNE 2025 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 Big Data Analytics in Healthcare: Predictive Modeling, Privacy Challenges, and Global Regulatory Compliance Subject The topic of the resource Big Data, Healthcare, Data Privacy, Regulatory Description An account of the resource Big Data Analytics (BDA) is increasingly central to modern healthcare, promising transformative improvements in patient care, operational efficiency, and predictive disease modeling. However, the sensitive nature of health data also introduces significant challenges, particularly regarding privacy, confidentiality, and global regulatory compliance. This article synthesizes key insights from contemporary research, highlighting methods, existing gaps, proposed solutions, and the critical need for stronger global data privacy harmonization Creator An entity primarily responsible for making the resource Rachael N. Ndung’u Source A related resource from which the described resource is derived https://ijcit.com/index.php/ijcit/article/view/513 Publisher An entity responsible for making the resource available Department of Information Technology Murang’a University of Technology Murang’a, Kenya Date A point or period of time associated with an event in the lifecycle of the resource june 2025 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/1d9714b43532be8bd12413dfe77b7691.pdf 964c75ba50c40f324e195075e64088ab 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 VOL. 14 NO. 2 (2025): JUNE 2025 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 A Novel Method for Secure Key-Sharing in 5G and Beyond Subject The topic of the resource Cryptography; Symmetric key cryptography; Asymmetric key cryptography; Key sharing Description An account of the resource In today’s world, online communication is essential, and infrastructure for cutting-edge mobile technologies like 5G, is growing daily to meet the demand. So, information sharing security needs to be safeguarded as electronic communications spread. To implement this, cryptography is typically used, and most commonly symmetric key cryptography, due to its many advantages over other crypto-systems. However, one significant disadvantage of symmetric key system is that the single-keysharing is exposed to all entities in a network communication system, which makes the subsequent communications vulnerable to unauthorized access. There are many approaches for securing the single-key-sharing transmission, but each has its own drawbacks. In this paper, we propose and present a novel approach to secure key-sharing over a communication network in symmetric key cryptography system which makes the single-key immune to unauthorized access. A total of four messages are exchanged between two devices for our secure key-sharing method. To implement the key sharing process, our method employs a few techniques, including asymmetric key cryptography, hash functions, machine learning-based pseudo random number generators, and timers. Our analysis shows that, besides providing similar level of confidentiality as the existing approaches, it also provides other significant improvements over the current ones, such as enhanced integrity maintenance, and authenticity verification of the two devices involved in the process. The short latency of modern 5G networks helps to balance the increased network demand caused by sending four independent messages. To determine timer duration and key validity, we propose applying AI algorithms and extending the security of our method; nevertheless, these applications fall within the purview of our upcoming study. Creator An entity primarily responsible for making the resource Debjyoti Bagchi Source A related resource from which the described resource is derived https://ijcit.com/index.php/ijcit/article/view/501 Publisher An entity responsible for making the resource available Computer Science and Engineering Calcutta Institute of Engineering and Management Kolkata, West Bengal, India Date A point or period of time associated with an event in the lifecycle of the resource june 2025 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/f45f58c53c9c2c0b7a4147ee8ee54dd9.pdf 9fdeadbd483f7c373249c5622802444b 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 VOL. 14 NO. 2 (2025): JUNE 2025 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. 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 The Assessment of Organizations Readiness to Comply with the Kenya Data Protection Act: A Case of a Humanitarian Arganization Subject The topic of the resource [Data protection, Data Protection and Privacy readiness assessment, Data Protection Maturity model, Data Privacy} Description An account of the resource Privacy is a crucial aspect of life as it impacts on how we behave, feel and make decisions. It recognizes the dignity and inherent worth of individuals. The right to privacy as a fundamental right is recognized in our 2010 constitution under article 31 sub article c & d. Kenya enacted the Kenya Data Protection Act in 2019 (KDPA, 2019) to safeguard personal information, in accordance with a set of statutory principles. Creator An entity primarily responsible for making the resource Francis Ndichu Source A related resource from which the described resource is derived https://ijcit.com/index.php/ijcit/article/view/496 Publisher An entity responsible for making the resource available Student, Department of Computing & Informatics, University of Nairobi, Nairobi, Kenya Date A point or period of time associated with an event in the lifecycle of the resource june 2025 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text