Online-Journals.org (International Association of Online Engineering)
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Optimizing Offline Mode and Data Synchronization Techniques for Literature Translation Applications on Mobile Devices
Get PDFThe widespread use of mobile devices has intensified the demand for literature translation in both academic research and personal learning. However, existing translation applications face significant challenges regarding offline mode and data synchronization. Ensuring translation quality and efficient data synchronization, particularly under unstable or disconnected network conditions, has emerged as a critical issue. Current research predominantly focuses on local storage and update mechanisms in offline mode. However, limitations in storage capacity and update strategies often hinder translation effectiveness. Additionally, data synchronization techniques have been primarily studied in stable network environments, with insufficient attention to strategies that address poor network quality or intermittent connectivity. To address these gaps, this study explores the offline mode and data synchronization technologies in literature translation applications on mobile devices. The study proposes optimized storage and update strategies for the offline mode while enhancing the efficiency and reliability of data synchronization, ultimately improving the usability and user experience of translation applications
The Use of New Media by Young People in Kosovo
Get PDFThe great technological changes that have occurred during the end of the last century and the 21st century have also changed the way of obtaining and distributing information. Great technological progress has given a new dimension to communication and media in general. Today, in the time of new media, Marshall McLuhan’s theory that “the medium is the message” is also changing. This maxim is turning into “the user is the message” and “the user’s information becomes the content of the digital medium” [1]. The Internet and the media have involved almost all of society, especially young people. In the schools of Kosovo, the subject of media education that would help young people to use the new media correctly is still not taught. Therefore, this paper aims to show what the young people of Kosovo use the new media for the most. The research was carried out at the national level with 780 students (respondents) aged 15–18 years in 13 gymnasiums of 7 regions of Kosovo, selected through cluster-sample group analysis, developed in 1950 by Socal, Sneath, and others [2]. From this research, it can be seen that 12.8 percent of the students are all the time accessing these internet media and that more than half of the respondents (52.8 percent) access the internet more than ten times during the day. The new media offer incomparable possibilities compared to the old ones. But, at the same time, the experts in this field also raise the alarm about the violation of privacy, hijacking of the mind, killing of intellectual humility, misinformation, etc
An Interdisciplinary Educational Proposal in Junior High School: The Fractal Geometry in Science, Computer Science and Art Lessons
Get PDFThe purpose of this study is to provide an interdisciplinary approach to fractals within the traditional school curriculum. The proposed activities are expected to help teachers to provide a comprehensive and engaging learning experience for students that fosters deeper understanding, creativity, and connections within the sciences. Fractals are complex geometric shapes that are self-similar, and therefore exhibit similar patterns at every scale. They are created by repeating a simple process over and over. Fractals differ from traditional geometric shapes because they are non-regular, but are very common in nature, such as clouds, mountains, trees and snowflakes. Also fractals are impressive mathematical creations and can contribute a lot to the understanding of Junior High School mathematics because they could be fun and at the same time an exciting way to introduce many areas of mathematics and physics. By connecting fractals to different mathematical concepts and applications, Junior High School students can develop their problem-solving skills and gain a deeper appreciation for the beauty and complexity of mathematics
Development of a Database of Educational Games Applicable to Production Engineering
Get PDFDiscussion over the years regarding the quality of newly graduated engineers in Brazil has concluded that there are gaps between learning and market expectations. Analyzing the current scenario, the Ministry of Education (MEC) has approved new national curriculum guidelines that emphasize skills development and the adoption of active methodologies. The aim is to develop students as protagonists of their own learning. One of these methodologies is game-based learning (GBL), which utilizes games for educational purposes to integrate theory and practice. GBL simulates reality and presents concepts in a playful way, resulting in greater student engagement and interest. However, research shows that a lack of knowledge and difficulty accessing such games are barriers to implementing this methodology. Previous research has focused on the development of serious game metadata (SGM), the establishment of controlled vocabularies, and the identification of educational games targeting production engineering (PE). The authors of the present paper developed a database focused on the disciplines and content covered in production engineering courses. The paper describes the database and its aims to: (a) increase the use of games in the teaching-learning process; (b) make the process more effective; and (c) prepare better professionals
Augmented Reality in Elementary Education: System Architecture for Implementing an Interactive and Immersive E-Learning Application
Get PDFEarly childhood language acquisition is crucial, but complex scripts such as Bengali present challenges. BIPLOB, an Android-based augmented reality (AR) application, seeks to revolutionize language learning by introducing interactive 3D models and meticulously recorded audio pronunciations. Targeting both engagement and accuracy, BIPLOB addresses issues encountered by traditional methods. Its optimized workflow offers a replicable framework for future AR-based language learning applications, especially for complex scripts. BIPLOB paves the way for immersive and effective early language acquisition through the transformative power of AR technology
Containerized Microservices for Mobile Applications Deployed on Cloud Systems
Get PDFThis study explores the transformative role of containerized microservices in the sphere of mobile application development, especially within public cloud ecosystems. It focuses on how technologies such as Docker and Kubernetes contribute to improving deployment, scalability, and overall management of mobile applications, with an emphasis on containerizing backend services. We analyze their efficiency in streamlining deployment processes, focusing on how they improve the application’s performance and reliability. Additionally, we examine various alternative deployment strategies, such as blue-green, rolling, and canary releases, to emphasize their effectiveness in minimizing risks and facilitating smooth transitions in dynamic cloud environments. The study takes a comprehensive approach to achieve this goal, which includes a systematic review of existing literature, a thorough examination of relevant use cases, and an assessment of open-source technologies. Our findings reveal not only the practical benefits of these strategies but also their strategic application, offering important insights for software engineers and decision-makers. This study emphasizes the significance of integrating and optimizing containerized microservices in mobile app development to achieve more efficient, scalable, and manageable application lifecycles on cloud-based platforms
Mobile-Optimized AI-Driven Personalized Learning: A Case Study at Mohammed VI Polytechnic University
Get PDFWith the rise of mobile learning platforms, it has become increasingly evident that individuals require personalized experiences that are tailored to the strengths and limitations of mobile devices. The present study explores the significant impact that personalized mobile learning environments, powered by artificial intelligence (AI), could have. This study specifically evaluates the impact of an AI-driven personalized educational platform, designed for mobile devices, on the academic achievement and educational progress of students at Mohammed VI Polytechnic University. The platform, designed for mobile devices, allows instructors to easily upload information. Learners can interact with an AI mentor through a chat interface that is seamlessly integrated into their mobile course materials. The system, constructed using cutting-edge technologies such as Langchain, Pinecone, and the LLM Model, excels at providing personalized, real-time feedback and support for learners who are frequently mobile. This study compared two groups of students. One group had access to a mobile personalized learning platform powered by AI, whereas the control group did not have access to it. We conducted a comparative analysis of mobile educational experiences, levels of engagement, and academic outcomes across these groups. In addition, qualitative feedback was gathered from educators and students to evaluate the mobile usability and effectiveness of the system. The results of our study demonstrate that the AI-driven mobile-tailored learning system significantly improves the experience of mobile learners. The increased levels of engagement, improved understanding, and superior academic achievements support our claim. This study not only supports the potential of AI-driven personalized mobile learning in higher education but also emphasizes the importance of continuous innovation to improve its usefulness and effectiveness
ESPE Security: Mobile and Web Application to Manage Community Emergency Alerts
Get PDFThis study presents the implementation of “ESPE Security,” an application designed to manage community emergency alerts. A data collection technique was employed to understand frequent incidents in the Luz de América parish in the Santo Domingo de los Tsáchilas province. A sample of 440 residents was gathered through surveys covering an age range of 15 to 60 years, including various demographic groups such as students, traders, and the general population. The collected data revealed that approximately 87.95% of the surveyed rural parish population desires an application to report community incidents, as they have reported incidents such as traffic accidents, thefts, crimes, health issues, and homelessness. Based on these findings, a mobile and web application was developed to notify incidents in real time. The design and development of these applications involved technologies such as MongoDB, React, and Node.js, focusing on providing an intuitive user interface. Tests were conducted with 69 end-users and seven experts, employing quantitative techniques to assess design and usability. The results for design were 90%, and for usability, it was 66.70%. Therefore, mobile and web applications are helpful for real-time notification of critical incidents and will contribute to the community
Digital Twins-Based Cognitive Apprenticeship Model in Smart Agriculture
Get PDFApplying digital technologies in education has been proven to have several positive impacts on teaching and learning. Digital twins have the potential to revolutionize education by offering immersive and interactive learning experiences. They can simulate virtual environments, enabling students to conduct experiments, practice techniques, and observe outcomes in a safe and cost-effective setting, particularly when access to physical laboratories is limited or expensive. This work proposes a learning management model that applies cognitive apprenticeship learning theory as a framework for learning digital twins to enhance the programming of a smart agriculture system and computational thinking skills. The model consists of three parts: input, learning process, and output with feedback. The input phase includes setting learning objectives, analyzing learners, determining learning content, planning learning activities, and utilizing a digital twin virtual laboratory space for experimenting in the development of a smart agriculture system. The learning process involves engaging students in programming and problem-solving tasks by offering expert guidance and support in computationally solving problems. The achievement of learning outcomes and practices is included in the output and feedback sections. After evaluation, five experts in this subject agreed that the learning management model was at the most appropriate level
A Recommendation System Based on Early Academic Performance Prediction and Student Classification: Utilizing Artificial Intelligence and Mobile-Based Application
Get PDFIn this paper, we explore the idea that categorizing students according to their early academic results can effectively prevent academic failure and enhance success in schools. Our objective is to offer appropriate educational strategies, learning methods, and resources. We introduce a method designed to improve student learning experiences and increase their high school success. For validation, we gathered a dataset from the School Life Management Software, containing data on the personal information and academic performance of 840 students from 2018 to 2021. Using this data, we developed a predictive model. We then compared the academic outcomes forecasted by our model with the actual results of the students for the 2021–2022 academic year. This comparison showed that our model can accurately predict early student academic performance and outcomes. Integrating our predictive model with a student classification system allows us to suggest effective strategies for enhancing student performance and avoiding academic failure, thereby improving the overall academic experience. In addition to the predictive model, we have developed a mobile application that operationalizes our findings. This application serves as a tool for students and educators, utilizing the predictive model to provide real-time academic performance forecasts. The app not only predicts outcomes but also suggests personalized strategies and resources to support students’ learning journeys