Online-Journals.org (International Association of Online Engineering)
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Evaluation of Vocational Education and Training Outcomes Based on Mobile Learning
Get PDFWith the rapid advancement of information technology (IT), mobile learning has gradually become a significant approach in vocational education and training. University students utilize mobile applications for learning, which not only enhances the flexibility and efficiency of their studies but also promotes the equitable distribution of educational resources. However, effectively evaluating the impact of these applications in vocational education and training remains an urgent issue to be addressed. Current study methods predominantly focus on the analysis of static data, which inadequately captures the dynamic changes in students’ learning behaviors. Additionally, traditional predictive models exhibit low accuracy and poor generalization capabilities when handling high-dimensional, nonlinear time-series data. This study proposes an evaluation method for vocational education and training outcomes based on an improved gated recurrent unit (GRU) model, which comprises three main components: decomposition of university students’ mobile application time-series data based on the variable dependence model (VDM), preprocessing of the mobile application data, and outcome evaluation using the improved GRU model. Incorporation of an attention mechanism enhances the predictive performance of the model, providing data support and a decision-making basis for educators and developers
Evaluating the Effectiveness of Mobile Interactive Technology in University Physical Education Courses
Get PDFWith the rapid development of mobile interactive technology, a transformative shift in the pedagogical model of university sports courses has been initiated. Traditional teaching methods are simplistic and characterized by their lack of interactivity and personalization. However, the implementation of mobile interactive technology provides students with increased opportunities for participation and access to learning resources. Although existing research focuses on the integration of mobile interactive technology in university sports courses, a significant limitation remains in the evaluation methodologies employed, with a lack of systematic quantitative analysis and a comprehensive evaluation framework. This study proposes an effectiveness evaluation model comprising three primary components: construction of the evaluation model, calculation of indicator weights, and application of the fuzzy comprehensive evaluation method. The objective is to provide a comprehensive understanding of the effectiveness of mobile interactive technology in university sports courses through scientific evaluation methods, offering insights for future educational reforms and technological implementations
A Comprehensive Approach to Enhancing Doctor-Patient Interaction: Bridging the Gap for Better Healthcare
Get PDFEffective doctor-patient communication is a critical clinical function, and the resulting relationship is the heart and soul of medicine, as well as a critical component in healthcare delivery. Inefficient communication between doctors and patients is the leading cause of patient dissatisfaction, as it directly affects the health outcomes of the patient. The current study aimed to develop a holistic solution to bridge the doctor-patient communication gaps in the cardiology department and facilitate effective communication, ensuring better health outcomes. Desk study and empathy interviews highlighted the doctor-patient communication gaps and their effects on the overall health outcome and patient satisfaction. Various concepts were explored using the insights found using journey maps, causal loops, and affinity walls. User approval was determined by soliciting user feedback, and the System Usability Scale (SUS) was used to evaluate usability. A holistic solution utilizing educational material for quick understanding and recall of all issues reorganized the file, which provides structure to the interaction during the consultation and facilitates two-way interaction and appbased tracking of symptoms for informed decision-making, was developed. The solution was very effective in educating and preparing the patient, involving the patient for higher patient engagement, and assuring the patient for increasing patient adherence. It was found that the patients were able to understand and address their concerns effectively, and doctors were able to communicate more effectively. (SUS score: 78.12 and 75.62 for doctors and patients, respectively). As the solution is easy to adapt in the current system, it would help facilitate effective communication between doctor and patient
The Research on the Application of Deep Learning in Education
Get PDFWith the in-depth reform of education, deep learning is gradually being applied to education, which can stimulate students’ initiative in learning and improve their learning efficiency. This article explores some specific applications of deep learning in education, uses the deep learning model LSTM to predict students’ learning abilities and outcomes, and obtains high accuracy. Through deep learning models, we have abstracted the characteristics of students’ learning states and made relatively accurate predictions on their learning outcomes. This paper provides some useful explorations on the application of artificial intelligence and deep learning in education, which can provide valuable references for better research in the future
Linking Digital Technology, Omics and Education to Facilitate Global Equity
Get PDFThere are many challenges, not least health inequities, global warming, and a rush for growth and economic development. Personalized, precision, and preventative medicine, bringing the latest omics techniques—genomics, transcriptomics, and metabolomics—for individuals allied to personalized prescription and care should help health equity. Digital technologies and artificial intelligence (AI) can help in an understanding of disease processes and in drug development. A holistic approach to the relationship between technology and the environment and clarity about both the positive benefits and negative harms resulting from using digital tools is necessary. We need to focus on the complete human-environmental interface and not just on climate change and carbon. It will be a measure of collaborative civilization if digital technology, omics techniques, and education can be used to promote global equity. Education linking diversities and performance throughout the world will be crucial
Use of Chat GPT in English for Engineering Classes: Are Students’ and Teachers’ Views on Its Opportunities and Challenges Similar?
Get PDFMobile technologies have become increasingly important in the field of education, providing innovative ways to engage students and enrich their learning experiences. ChatGPT is an innovative tool that can be used in English for Specific Purposes (ESP) classes to engage students, enhance their knowledge and skills, and add variety and interest to the traditional process of learning engineering English, whether accessed through computers or mobile devices. In light of this, the study aims to investigate and compare the attitudes of technical university students and teachers towards using ChatGPT in English classes, as well as their perspectives on academic integrity issues and the strategies they employ when using ChatGPT. The study involved 22 teachers and 60 students from a Ukrainian university. Quantitative research, which involved collecting data through surveys, showed that students exhibited positive attitudes, while teachers took a more neutral approach. Both groups agree that ChatGPT plays a supplementary role in enhancing both hard and soft skills, as well as English language communication skills. However, they emphasized its impact on the development of research skills. The study highlights critical issues related to academic integrity, specifically the differing perceptions of possible violations between students and teachers. The authors present ideas on integrating ChatGPT into ESP classes, enabling teachers to leverage artificial intelligence (AI) tools for language learning and adapt to changing educational landscapes. The study emphasizes the importance of integrating ChatGPT effectively into engineering English classes to support students’ learning. While emphasizing the importance of guidelines for academic integrity, it also advocates for the creative use of AI tools by teachers and students. Addressing the disparity in attitudes suggests providing teacher professional development to ensure proficient use of AI tools
Generating Mobile Virtual Tour Using UAV and 360 Degree Panorama for Geography-Environmental Learning in Higher Educationw
Get PDFNowadays, the limitations of media in geo-environmental learning present a significant challenge, as media plays an indispensable role in fostering students’ comprehensive understanding. Employing technology capable of delivering comprehensive landscape information is crucial for effective environmental education. Utilizing Unmanned Aerial Vehicles (UAVs) and 360-degree panoramic cameras represents a judicious technological choice, which can be seamlessly integrated into virtual tours. This research aims to develop a Mobile Virtual Tour (Movie-Tour) as a medium to support learning, especially for materials regarding environmental geography. The research and development (RnD) method is used in research with the ADDIE model (Analysis, Design, Development, Implementation and Evaluation). Data collection for the development of the product involved conducting a need assessment, performing validation tests and conducting trials with students. To gather field data for creating environmental geography materials for the Movie-Tour product, we utilized an Unmanned Aerial Vehicle (UAV) and a 360-degree stereoscopic camera. The results demonstrate that Movie- Tour is an educational medium capable of delivering an immersive learning experience and comprehensive materials, allowing for the virtual visualization of real-world conditions in the field. This capability enhances students’ engagement in exploring physical geography conditions, fosters independent knowledge acquisition, and nurtures their innate curiosity. Movie-Tour stands as a potent and practical educational tool, offering an effective and secure learning experience for students, eliminating the need for direct field visits
Optimized Strategy in Cloud-Native Environment for Inter-Service Communication in Microservices
Get PDFCloud computing has become a prominent technology in the software development industry. The term “cloud-native” is derived from cloud computing technologies and refers to the development and deployment of applications in a cloud environment. In the software industry, most enterprise-grade software buildings use the microservice architecture and cloud natively, ultimately leading to an expansive development in the software development framework. Microservices are deployed in a distributed environment and function as independent services. However, they need to communicate with each other in order to fulfill the functional requirement. Additional latency will be introduced when communicating with other services. Hence, it will impact the overall application response time and throughput. This research proposes a solution for the aforementioned problem in the cloud-native environment. A Request-response-based TCP communication solution has been developed and tested in the cloud-native, containerized environment. Experimental results showed that the turnaround time of the proposed solution is shorter than that of traditional HTTP communication methods. Furthermore, the results summarize that both vertical and horizontal scaling are improving the overall performance of the systems performance in terms of response time. Conclusively, the proposed solution improved the microservice performance and preserved the existing cloud-native qualities, such as scalability, maintainability, and portability
Evaluation of a Chatbot Powered by ChatGPT for the Preliminary Diagnosis of Dengue
Get PDFDengue poses a public-health challenge in several regions. Early detection is essential to reduce the impact of a condition, and artificial intelligence (AI) and chatbots provide new opportunities to enhance diagnosis. This study evaluates the effectiveness of integrating a chatbot with ChatGPT version GPT-3.5 for the preliminary diagnosis of dengue and its contribution to timely detection. To evaluate this, two types of tests were conducted using a dataset of 30 dengue cases. In the first test, the chatbot was evaluated without being trained with dengue symptoms. In the second test, however, the model was trained using dengue symptoms obtained from official websites such as the World Health Organization (WHO) and the Pan American Health Organization (PAHO). The performance of the chatbot was evaluated using the confusion matrix, performance metrics, and user satisfaction. The results of the second test showed impressive performance, with accuracy, sensitivity, and specificity of 100%. This surpassed the first test, which achieved accuracy, sensitivity, and specificity of 83%, 80%, and 90%, respectively. In addition, 15 users reported positive satisfaction, with an overall average rating of 4.25 out of 5. In conclusion, these results highlight the effectiveness of the chatbot as a valuable public health tool for the early detection and management of dengue. It is important to note that, despite the remarkable diagnostic results of the chatbot integrated with ChatGPT, it does not replace medical judgment
Star Words Re-Generated: Gamification and GenAI for Effective Training
Get PDFStar Words was a gamification project developed in 2015 with the goal of facilitating the acquisition of skills related to the Microsoft Office suite on Moodle. The utilization of game mechanics and rules was enhanced by situating the entire course within the Star WarsTM universe, a widely popular saga at the time due to the release of its seventh cinematic episode. The results obtained from the experiment demonstrated the effectiveness of this approach. However, the significant amount of time invested in adapting the storyline and materials led to the decision not to replicate the experience with different themes. The article illustrates how the use of generative artificial intelligence (genAI) can help overcome this issue by assisting educators in creating high-quality educational and narrative content in a shorter timeframe. This enables educators to select the most up-to-date and captivating theme for their students every year