Online-Journals.org (International Association of Online Engineering)
Not a member yet
9805 research outputs found
Sort by
Mobile Intervention with Neural Networks for the Mental Health of Older Adults
Get PDFThis study presents an applied study with a pure experimental design to evaluate the effectiveness of the application, with the objective of reducing the levels of loneliness and depression through the use of a mobile application based on neural networks in older adults in the city of Trujillo. In addition, software development technologies such as Flutter, Flask, and ExpressJs were used. The results indicate a significant decrease in the levels of emotional and social loneliness and depression in the experimental group (EG) compared to the control group (CG). Reductions of 15.03% in the level of emotional loneliness (LEL), 24.74% in the level of social loneliness, and a remarkable 44.12% in the level of depression were observed in the EG. In addition, a significant increase of 6% in the mood index was evidenced in the EG. This led to the conclusion that after mobile implementation based on neural networks, the alternative hypothesis is supported, statistically demonstrating the effectiveness of the application in reducing loneliness and depression in older adults. These findings suggest a positive impact on the emotional well-being of this population, underscoring the utility of technology in addressing mental health issues in this demographic
What Does an IMoART Application Look Like? IMoART—An Interactive Mobile Augmented Reality Application for Support Learning Experiences in Computer Hardware
Get PDFThis study aimed to develop an interactive mobile application based on augmented reality (IMoART), which could contribute to reshaping the learning paradigm in computer hardware courses. The IMoART application employs a marker-based tracking method. Accessible on smartphones, it integrates into the learning process, is attractive to students, and fosters engagement as users can visualize hardware through 3D objects. The application serves as an alternative and supplementary learning tool to make the educational experience more enjoyable while potentially reducing school expenditures. The results of the development process, which involved using the 4D model (define, design, develop, and disseminate), showed that the IMoART application is effective, with notable feasibility scores of 3.68 for the media aspect and 3.81 for the material aspect, as evaluated by media and subject matter experts. User responses from teachers and students further support the positive outcomes of the IMoART application, achieving a robust practicality score of 84.68%. Noteworthy aspects such as ease of navigation, clarity, aesthetic features, and instructional quality demonstrate high practicality. This study contributes significantly to the literature by presenting an evaluated model that offers an enjoyable and efficient learning experience using 3D objects, videos, images, simulations, and interactive animations in the context of computer hardware learning
Design and Implementation of an Intelligent Cross-Border E-Commerce English Learning Platform Based on a Knowledge Map
Get PDFAt present, most online education platforms still have problems such as single learning modes and loose knowledge structures. Using the knowledge map, the study employs a personalized adaptive intelligent adjustment strategy based on the structural expression of the CBEC English subject system. Firstly, the study uses the Scapy framework to crawl the subject knowledge data. Then use the LTP platform to process sentences containing multiple entities. Input the sentence into the dependency parser to analyze and extract the entity relationship. Finally, according to the relevance between knowledge points and topics in the knowledge map, the final learning path recommendation result is obtained. And cluster the similarity of curriculum content to build a complete curriculum system. Based on the above operations, a knowledge map-based smart learning platform for the CBEC English discipline has been designed and implemented to provide a smart, personalized learning environment for learners. According to the experimental analysis, the average satisfaction of learners with the learning platform designed by the study is 81.56%, which can meet the learning needs of learners and provide an excellent mobile learning environment for students
Utilizing Compassion-Focused Therapy Integrated with Mobile Technology: A Therapeutic Approach to Improve Sense of Coherence in Visually Impaired Students
Get PDFIn this study, we investigate the effectiveness of compassion-focused Techniques integrated Mobile Technology implemented to improve the sense of coherence among visually impaired students. The study sample comprised six students (three males and three females) with an average age of 14.30 years and a standard deviation of 1.06. study tools included a sense of coherence scale developed by Al Sadiq and Abbady (2020) and a compassion-focused therapy program specifically designed by the researchers. The results showed statistically significant differences in the average ranks of visually impaired students in the experimental group between pre-measurement and post-measurement on the Sense of Coherence Scale, favoring the post-measurement after the implementation of the therapeutic program. No statistically significant differences were found in the average scores of visually impaired students in the experimental group between post-measurement and follow-up measurements on the Sense of Coherence Scale after implementing the therapeutic program
Revolutionizing Higher Education Teaching Evaluation with Interactive Mobile and Mixed Reality: A Methodological and Applied Analysis
Get PDFIn higher education, it is imperative to maintain educational quality, which requires necessitates a thorough evaluation of teaching methods. The advent of mixed reality (MR) technology, combined with interactive mobile capabilities, introduces innovative possibilities for traditional educational assessment frameworks. This study is dedicated to investigating the application of MR and interactive mobile technologies in higher education teaching evaluations, with a focus on assessing their effectiveness and implementation outcomes. Research to date has explored MR’s educational applications. However, the integration of interactive mobile technologies alongside MR in developing specific methodologies and evaluative tools for teaching evaluations has not been fully realized. This underutilizes the combined potential of these technologies. This paper is anchored in two principal research endeavors. Initially, it delves into the construction of a meta-model facilitated by MR-aided and interactive mobile-enhanced teacher-student interactions, utilizing a hierarchical remote interaction pyramid model. This process involves developing extensible associative functions, determining index weights, and establishing evaluation levels, which collectively enhance the evaluation’s multidimensionality, interactivity, and scientific precision. Subsequently, the analytic hierarchy process (AHP) is employed to quantitatively assess the educational impact of MR and interactive mobile experiences on students. This approach provides support for customized and precise teaching evaluations. The findings reveal that integrating MR technology with interactive mobile capabilities significantly enhances the interactivity and systematic scientific approach of teaching evaluations. This fosters a more multidimensional and interactive framework for educational evaluation
Enhancing High School Students' Future Thinking Skills through Interactive Digital Platforms for Teaching Energy Issues
Get PDFIn this paper, we investigate the potential of teaching energy-related topics to enhance secondary school students’ future thinking skills, including problem-solving, predicting, and envisioning. A physics enrichment program was conducted using the “Madrasati” digital platform in a semi-experimental design involving two groups of students (experimental and control). Utilizing a pre-post measurement approach, the study employed a novel instrument to assess future thinking across three distinct levels. The analysis, involving ETA squared, Cohen’s effect size, and independent sample t-tests, revealed a significant improvement in future thinking skills for the program group. These findings suggest the potential of incorporating energy-related topics and digital platforms into secondary science curricula to enhance critical thinking skills necessary for addressing future challenges. The study further underscores the potential of digital tools and innovative teaching approaches in optimizing students’ development of future thinking competencies
Handpose Estimation Based Learning Academy for Improving Typing Efficiency by Using Mobile Technologies
Get PDFThis paper focuses on enhancing touch-typing skills through state-of-the-art deep learning technologies. It has been demonstrated that writing posture can be assessed using integrated keyboard detection and hand pose estimation in real-time browser environments. A unique dataset was created for training the object detection model to recognize individual keyboards. The object detection models were trained using various architectures and then assessed for both inference time and accuracy. In addition, a hand pose estimation was implemented to precisely recognize 21 knuckle points of the hand and compute their exact positions. In order to implement object detection and hand pose estimation, a stream transmission of the keyboard and hand scene is required. For this purpose, server-client communication via a QR code connection is implemented to transfer the stream between two mobile devices. Based on these deep learning technologies, a mobile web app was developed that offers 170 learning courses for touch-typing training. With the help of the Typing Learning Academy prototype, a study was conducted as part of this paper to evaluate the usability and utility of the learning app. This research demonstrates the potential for enhancing the development of writing skills through touch typing through the utilization of advanced deep learning technologies
Towards Effective Adaptive Revision: Comparative Analysis of Online Assessment Platforms through the Combined AHP-MCDM Approach
Get PDFThis study presents a detailed comparative analysis of online evaluation platforms aimed at identifying the most suitable one for integrating an adaptive revision plugin. The study uses both the analytic hierarchy process (AHP) and multi-criteria decision making (MCDM) to give a structured and thorough evaluation of different learning management systems (LMSs). By scrutinizing the capabilities, interfaces, and underlying technologies of these systems, the analysis seeks to pinpoint the platform that offers optimal compatibility, flexibility, functionality, and user experience. The central objective of this study is to enhance the effectiveness of adaptive learning tools within educational technologies. This is achieved by evaluating different platforms to ascertain which one best supports the integration of adaptive revision functionalities. Our comprehensive analysis clearly identifies Moodle as the superior platform due to its robust adaptability and enhanced customization capabilities, which are essential for implementing effective adaptive learning tools. The results underscore Moodle’s potential to significantly enhance the educational experience by supporting tailored learning paths and dynamic content adjustments. This study not only highlights Moodle’s advantages but also sets the groundwork for future advancements in adaptive educational technologies
Effect of a Self-Regulated Vocabulary Learning Mobile Application on EFL Students' Vocabulary Learning Achievement and Motivation
Get PDFThe purpose of this study was to develop and evaluate the effectiveness of a self-regulated vocabulary learning mobile application (SRVL-MAPP) to improve English as a foreign language (EFL) students’ English vocabulary learning achievement and motivation. To evaluate the effectiveness of SRVL-MAPP, an experiment was conducted with 60 fourth-grade students from a primary school in Henan Province, China. These students were divided into two classes and randomly assigned to either the experimental group, which used SRVL-MAPP, or the control group, which used a mobile vocabulary learning application (NSRVL-MAPP) without the SRL mechanism, with 30 students in each group. The experiment lasted for three weeks. The results revealed that students in the experimental group outperformed those in the control group in both vocabularies learning achievement and motivation. In addition, the results also indicated that SRVL-MAPP significantly improved the English vocabulary learning achievement and motivation of field-dependent learners, while no such effect was observed for field-independent learners
Integration of a Mobile-Based Smart Measurement System to Assess the Level of Work Readiness of Vocational Students in Higher Education
Get PDFThis study aims to develop and evaluate a mobile-based intelligent measurement system as a tool to assess work readiness and identify work readiness patterns among vocational students in facing the challenges of Industry 4.0. Through the development of this innovative system, we have successfully created a tool that can provide more accurate and efficient evaluations of students’ work readiness. The results of the study indicate that adapting to technological advancements and current labor market demands is crucial in preparing vocational graduates to succeed in an increasingly competitive workforce. It is hoped that these findings will contribute to improving the quality of vocational education and ensuring that graduates possess the relevant skills needed by the industry. In conclusion, this study not only offers practical solutions to enhance the work readiness of vocational students but also contributes to our understanding of vocational education in the Industry 4.0 era