Online-Journals.org (International Association of Online Engineering)
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A Hybrid Approach to Raising Digital Literacy among Adolescents in KSA Using a Mobile Application
Get PDFAs digital technologies and the Internet evolve, digital issues are becoming more prevalent and are a serious concern due to their increased level of integration in our daily lives. Many users lack the necessary digital literacy to protect themselves and their communities from such issues. Background research reveals that adolescents in Saudi Arabia are particularly vulnerable to these issues, also supported by the studies pre-test for students (15.8%). This highlights a gap regarding preventative measures that researchers aim to fill. This study investigates the effectiveness of integrating a dedicated mobile application focused on raising awareness regarding digital issues such as cyberbullying within a hybrid teaching framework amongst primary and middle school students in Saudi Arabia. The application’s features, including but not limited to pre-tests, post-tests, lecture material, and progress monitoring, along with its ease of use, are designed to efficiently achieve digital issue learning outcomes. To assess this hybrid approach toward raising awareness of digital issues, this study gathers 30 participants and splits them into three groups: group one (hybrid), group two (traditional), and group three (online only). The results, which were analysed via one-way analysis of variance (ANOVA) and Tukey’s honest significant difference (HSD) post-hoc test, demonstrate a significant advantage in the increased level of awareness of students from the first group. This indicates that our mobile application in hybrid settings is significantly more effective in enhancing knowledge retention amongst students and raising their level of awareness of digital issues
Mobile Application with Artificial Intelligence Assistant to Improve the Logistical Process in Pharmaceutical Companies
Get PDFAccording to the World Bank (WB), an estimated 60% of pharmaceutical companies in developing countries report significant problems in their supply chain, often resulting in delays and financial losses. The objective of this study is to develop a mobile application with an artificial intelligence assistant to improve the logistics process in a pharmaceutical company. In this sense, the Cascada methodology was used, together with various computer tools, to develop the prototype. Favorable results were obtained with respect to the criteria of functionality, usability, innovation and technology. Concluding that the application meets all the necessary conditions to mitigate the problem of the logistics process in pharmaceutical companies
A Mobile Technology-Based Framework for Digital Libraries: Bridging Accessibility and Personalized Learning
Get PDFWith the rapid development of mobile technology, digital libraries have become critical platforms for supporting education and academic research. However, traditional digital libraries face significant challenges in terms of accessibility on mobile devices and personalized learning support. In particular, existing technologies and research have yet to comprehensively address the need for meeting diverse reader requirements and enhancing the convenience and flexibility of information access. Against this backdrop, a mobile technology-based digital library framework was proposed in this study, aimed at improving the reader experience and promoting personalized learning through accessibility-assistance tools and personalized learning path recommendation systems. Specifically, the study focuses on two core components: (a) the design of accessibility-assistance tools for mobile digital libraries, ensuring that diverse readers, particularly those with special needs, can easily access information; and (b) the development of personalized learning path recommendation methods, integrating readers’ interest points with learning themes to achieve more precise and intelligent learning support. By integrating mobile technology with intelligent recommendation algorithms, innovative applications within the digital library domain were explored, with the goal of offering new insights into enhancing the quality of digital library services and learning efficiency
Occupational Accident Prevention Training through Experiencing Stories of Success in Time Travel Prevention Games
Get PDFFiction is an ancient virtual reality technology that specializes in simulating human problems. The stories told are the media and, according to Marshall McLuhan, the medium is the message. The technology is interwoven with up to date digital media design and information technologies including artificial intelligence (AI). According to Keith Oatley, stories are the flight simulators of human social life. From the many fields of human life, emphasis is put on the training of occupational accident prevention. The potential of storytelling is deployed for the prevention of accidents to preserve human lives, to avoid human injuries, the damage of installations and financial losses. Aiming at effectiveness and sustainability, the task under consideration is the interdisciplinary design of spaces of stories with a high educational potential. The authors abandon the educational paradigm of telling stories of disaster. Interactive digital storytelling is tailored to allow for unprecedented learner engagement in stories of success. Prevention training is designed to appear playfully based on the original concept of time travel prevention games. Trainees who failed to complete their task—thereby possibly ruining a (fortunately only virtual) technical installation—are enabled to travel back in time to do better the next time. AI guides the trainees to a success of their own. In the condition of training with time travel prevention games, designing spaces of stories to be experienced playfully is an ambitious variant of gamification. The design of stories in story spaces is a particularly complex case of dynamic AI planning. Patterns that occur in story spaces wrap educational theory as well as ideas of game design. The plan generation concepts foster interdisciplinary co-operation of educators, domain experts, VR specialists, game designers, psychologists, and others in creating spaces of affective stories of success
Learning With the Brain in Mind
Get PDFLearning is deeply connected to the brain’s complex mechanisms, yet traditional educational environments often overlook this, resulting in less effective outcomes. Drawing on the research of Eric Jensen and David Rock, we explore activity-based learning and its effectiveness in enhancing knowledge retention and understanding. By examining the role of learning objectives and aligning activities with specific brain functions, this approach fosters neural connections that promote long-term memory and higher reasoning. A case study in Kenya illustrates how activity-based learning improved communication skills in a multinational organization. We also discuss its implementation in various settings, including private companies. This essay highlights the importance of integrating brain science into educational practices to optimize learning outcomes, particularly for adults
Prediction of Medical Pathologies: A Systematic Review and Proposed Approach
Get PDFHealthcare is essential in every society, and the adoption of innovative technologies such as artificial intelligence (AI), big data, machine learning (ML), and deep learning (DL) is revolutionizing medical practices by enabling innovative approaches to pathology prediction and clinical decision-making. This systematic review examines 61 key articles published between 2018 and 2024 to evaluate the state of the art in medical data processing and pathology prediction. Based on this review, we identify critical challenges in current methodologies, including data integration and interpretability. To address these issues, we propose an integrated framework combining data collection, pre-processing, mapping, and clustering with advanced analytics. This approach aims to streamline the medical data pipeline, enhance diagnostic processes, and provide a foundation for future research and clinical implementation
DeepWolfNet Model: Enhancing Medical Disease Diagnosis Using Gray Wolf Technology and Deep Neural Networks
Get PDFBreast cancer occurs when cells or tissues of the breast grow abnormally. Globally, cancer is a common and serious disease, greatly affecting women. Recent studies aim to develop effective methods for deep recognition of medical images using deep neural networks (DNNs). In this context, the research presents a deep learning-based model using a DNN for breast cancer detection and is applied to two datasets, namely breast ultrasound images (BUSI) containing 780 images classified into benign, malignant, and normal, and the BreakHis-400X database. The images are processed using the gray wolf optimization (GWO) algorithm to extract the most important features. Medical image processing is a crucial step in improving classification accuracy, as the GWO algorithm helps improve the feature selection process by identifying the most important elements in images that directly affect the prediction accuracy, reducing the amount of unimportant data, and enhancing the efficiency of the deep learning model. The purpose of using GWO is to improve the effectiveness of feature extraction and avoid falling into local solutions, which contributes to significantly improving the classification accuracy. The proposed model, using the GWO algorithm with DNN, achieved high classification accuracy that outperformed traditional models such as support vector machines (SVM), VGG16, Googlenet, and KNN models
Phishing Awareness through Game-Based Learning: A Mobile-Responsive Web Application for Middle School Learners
Get PDFThis study aimed to design a phishing-focused learning approach for middle school learners using a game-based educational format. The objective of this project is to (a) study and develop an educational game to enhance knowledge about phishing emails, (b) compare the academic results before and after learning, and (c) evaluate the acceptability of the educational game to enhance knowledge about phishing emails. The sample group used in this study was 130 from seventh-grade students in School A, Nonthaburi Province, Thailand. To create a game-based learning model focused on phishing emails, the researchers opted for a spot-the-difference game format. The game leveraged the fact that learners were already acquainted with the game’s rules and had prior experience playing it. Furthermore, the game is web-based, enabling learners to engage with it at their convenience, regardless of location or time. The research instruments were (a) a phishing-awareness educational game, (b) preand post-assessment tools to evaluate knowledge gain, and (c) a questionnaire measuring students’ acceptance of game-integrated instruction. The study’s results indicated a high level of learner approval for the phishing-focused instructional model that employed gamified techniques. This acceptance was evident in terms of both the perceived ease of use and the convenience associated with the learning process. Additionally, learners reported significant benefits derived from engaging with the game, including various elements that effectively supported and enhanced their learning outcomes related to phishing emails, resulting in a marked improvement compared to their prior knowledge
Integrating Interactive and Mobile Learning Technologies in Pre-Service EFL Teacher Education
Get PDFA virtual educational environment has come into being in English as a Foreign Language (EFL) classrooms since the COVID-19 pandemic. The study introduces various online tools and activities designed to foster engagement and motivation among pre-service EFL teachers. The authors share hands-on experience from exploring interactive platforms and web resources, including Online Test Pad, YouGlish, FluentU, Readers Theater, Voki, Kialo, Edpuzzle, Padlet, and digital dictionaries; highlight their pros and cons; discuss the effectiveness of each tool for a particular teaching purpose; and introduce practice-based strategies for effective integration of online tools into pre-service EFL teacher instruction. The authors explore how online games combine practice with competition and interaction to increase engagement; discover the potential of pattern poems, readers theater, and discussion forums in constructing narratives using target vocabulary and grammar while also honing speaking and writing skills; and suggest tips on using animated platforms for personalizing writing prompts and providing feedback on written work. The analysis of survey results of pre-service teachers’ feedback is presented to justify that incorporating interactive online activities can tap into intrinsic motivation and create a more enjoyable and effective learning experience
Optimizing Personalized Learning Paths in Mobile Education Platforms Based on Data Mining
Get PDFWith the rapid development of information technology, mobile education platforms have become an integral part of the education sector, demonstrating significant potential in optimizing personalized learning paths. Traditional educational models struggle to provide individualized support tailored to each student’s characteristics and learning progress. However, the integration of big data and artificial intelligence (AI) offers new approaches for constructing personalized learning paths. Data mining techniques analyze students’ learning behaviors and academic performance in depth to recommend suitable learning resources and pathways. Nevertheless, existing research methods face several challenges in practical applications, such as the insufficient utilization of multimodal student data and the inability to dynamically adjust learning paths, limiting the effectiveness and scalability of personalized learning optimization. Most current studies rely on single-source data, lacking a comprehensive analysis of students’ multidimensional learning information. Additionally, traditional collaborative filtering methods suffer from data sparsity and cold-start issues. To address these limitations, this study proposes a collaborative filtering model based on graph convolutional networks, combined with a dynamic optimization mechanism. By leveraging multimodal learning data to construct a comprehensive knowledge graph, this approach enhances the precision of personalized recommendations and dynamically adjusts learning paths according to students’ real-time learning status. The proposed method holds significant academic value and practical applicability in advancing personalized education