Online-Journals.org (International Association of Online Engineering)
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A Study of the Use of Multimedia in AI Industry in Terms of its Impact on In-Service Education and Work Attitude as Well as Work Performance
Get PDFTo meet the increasing demand for talent with the expansion of domestic artificial intelligence industries in foreign markets, many artificial intelligence industries are training high quality employees. In this respect, the present study aims to investigate the effectiveness of using multimedia in the artificial intelligence industry in-service education programs. The participants of the study were composed of artificial intelligence industry supervisors and employees in China. The study focused on a sample comprised of AI industry supervisors and employees in China. Data were collected over a period spanning from the 1st of January 2022 to the 1st of June 2022. A total of 500 questionnaires were distributed, and 423 valid copies were retrieved, yielding a retrieval rate of 85%. According to the results of the study, it can be stated that artificial intelligence industries can benefit the research results through in-service education and learning and development. Moreover, the results of the current study can help promote work performance of employees to produce the necessary soft power that determines success in the future, and to improve business dilemma and enhance competitiveness of artificial intelligence industries. The results of the study revealed that the use of multimedia in artificial intelligence industry increase the self-confidence of employees, they feel respected, noticed, and supported by superiors, and have a good and pleasant interactive relationship with colleagues. As a result, their work attitudes are positively influenced
Artificial Intelligence-Based Chatbot to Support Public Health Services in Indonesia
Get PDFThe aim of this study is to build an artificial intelligence chatbot application to support public health services. The chatbot acts as an information service that can replace the role of humans. The analysis of functional needs was obtained from information submitted by one of the heads of public health centers in Indonesia. This study uses the Scrum method with pregame stages to produce a plan consisting of functional and non-functional requirements analysis and conceptual design of the chatbot, which will be developed using Unified Modeling Language (UML) diagrams. The process of finding answers uses the matching graph master technique, which is a backtrack matching that utilizes a depth-first search strategy. There are 6 topics of chatbot services, including service schedules, health information, registration, diseases, drugs, and early care services for chatbot users. Tests conducted on these 6 topics showed an average correct answer ratio of 93.1% out of a total of 251 questions. The result of the usability measurement on the chatbot application that has been built obtained a system usability scale value of 80.1, indicating that the developed chatbots are acceptable for use
Effectiveness of Real and Computer-Assisted Experimental Activities in Moroccan Secondary School Physics Education
Get PDFExperimental activities are widely recognized as an essential pedagogical tool in physics education that enables students to learn fundamental physical concepts. Experimentation sets physics apart from other disciplines by motivating learners to acquire knowledge, methods, scientific attitudes, and manipulative skills. Most current research focuses on the importance of conventional experimental work in the learning process or the contribution of new technologies to this process without pinpointing the experienced limitations hindering the two tools from achieving the pedagogical objectives for which they were originally designed. To gain a better understanding of what these issues are, we have performed the survey presented in this paper. First, the analysis investigated the challenges that impede the experimental approach from playing its vital role in the Moroccan education system and evaluated the efficiency of this approach in achieving its original pedagogical objectives. In doing so, the study indicates that the majority of Moroccan secondary physics teachers do not achieve the required rate of experimental activities due to several challenges, including the need for coaching and training, the lack of coordination between decision-makers and practitioners regarding the practical use of scientific laboratories, a shortage of necessary materials, and a lack of maintenance and repair of laboratory equipment. Thus, we conclude this paper by providing several solutions, implications, and limitations as potential directions for future research
RFID Attendance System with Contagious Disease Prevention Module using Internet-of-Things Technology
Get PDFThis paper presents the development and implementation of an innovative Internet of Things (IoT)-based RFID attendance system integrated with a module focused on curbing the spread of contagious diseases in densely populated settings, such as schools and workplaces. Recognizing the limitations of existing radio frequency identification (RFID) attendance systems, an extensive analysis of prior works was conducted to identify crucial functionalities necessary for an effective solution. Leveraging the IoT paradigm, we devised a 3-layer architecture encompassing thermometer sensors, RFID technology, Arduino microcontrollers, Wi-Fi connectivity, and the message queuing telemetry transport (MQTT) protocol to facilitate seamless data transmission and storage. The resulting prototype enables real-time monitoring of feverish symptoms, serving as an early warning system for potential contagious illnesses while streamlining attendance management. Data collected from the IoT devices is securely stored in a centralized database and accessed through an intuitive information system embedded within the IoT application. Users can effortlessly view and manage attendance data, while administrators gain access to health-related metrics, enabling timely responses to health concerns. User evaluations of the developed system resulted in an outstanding “A” rating, validating its reliability, functionality, and user satisfaction. Future improvements involve real-world testing, scalability assurance, integration with health authorities for comprehensive data management, and automated alerts for potential disease outbreaks
A Blockchain-Secure Mobility Data in Smart Campus
Get PDFAcquiring knowledge of the patterns of human mobility within a university setting is a critical endeavor that can facilitate the development of effective strategies for future work programs. It is essential to ascertain the positions of campus inhabitants as they engage in daily activities that align with the institution’s work plan framework. Nonetheless, the paramount challenge associated with the presence of personal data on human movement is ensuring the utmost security of this sensitive information. Blockchain technology offers a solution by enabling the safeguarding of personal data through the decentralization of information, wherein individuals act as controllers in a distributed cloud network. In the present study, a straightforward system comprising GPS sensors and a Raspberry Pi is employed to detect personnel’s location data. The SHA256 algorithm is utilized to generate a hash that connects the constituent blocks, thereby significantly enhancing data security. The intricate hash computation is validated through the implementation of proof-of-work, which generates pertinent binary data at an expeditious block mining time of 16.64 milliseconds. This approach effectively thwarts cyberattacks and ensures the maximum protection of data
Enhancing Practicality of Web-Based Mobile Learning in Operating System Course: A Developmental Study
Get PDFWeb-based Mobile Learning can enhance the learning experience in various educational contexts. However, in operating system courses, practical challenges arise when implementing a web-based mobile learning platform, which impacts the effectiveness and accessibility of learning materials for students. To overcome these challenges, this research and development (R&D) aims to improve the practicality of web-based mobile learning in operating system courses. The research adopts a systematic 4D (Define, Design, Develop, Disseminate) model to identify and explore strategies to optimize the practicality of the platform. Data collected from lecturers and students showed a high average value of practicality, 88.33% and 88.35%, respectively. This research contributes to improving the practical aspects of web-based mobile learning, thereby enhancing students’ learning experience and outcomes in the context of operating system courses
Contributions of Data Mining to University Education, in the Context of the Covid-19 Pandemic: A Systematic Review of the Literature
Get PDFDuring the context of COVID-19, educational processes migrated to a strictly virtual scenario, so the quantity of information grew in such a way that techniques such as data mining or machine learning contributed to generating knowledge for decision-making. In this sense, it is relevant to define the state of the art of the contributions of data mining in the university environment, and from there, to see in perspective how these could be applied in scenarios of return to the face-to-face. In this sense, a systematic review of the literature is carried out, based on scientific evidence extracted from the Taylor & Francis, ERIC and Scopus databases. A qualitative content analysis approach and the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) statement were used to extract the findings published in scientific articles. The results were that educational data mining was applied to a greater extent in the field of “teaching”, and it was focused on the search for patterns and predictive models to improve student performance, reduce student dropout, improve the student’s quality of life, and teacher performance. In addition, as a resource for data extraction, university learning management systems (LMS) were used to a greater extent. It is concluded that tools such as data mining should be implemented as academic management policies, achieving a prospective on indicators linked to the improvement of student learning and performance
Secure Data Computation Using Deep Learning and Homomorphic Encryption: A Survey
Get PDFDeep learning and its variant techniques have surpassed classical machine algorithms due to their high performance gaining remarkable results and are used in a broad range of applications. However, adopting deep learning models over the cloud introduces privacy and security issues for data owners and model owners, including computational inefficiency, expansion in ciphertext, error accumulation, security and usability trade-offs, and deep learning model attacks. With homomorphic encryption, computations on encrypted data can be performed without disclosing its content. This research examines the basic concepts of homomorphic encryption limitations, benefits, weaknesses, possible applications, and development tools concentrating on neural networks. Additionally, we looked at systems that integrate neural networks with homomorphic encryption in order to maintain privacy. Furthermore, we classify modifications made on neural network models and architectures that make them computable via homomorphic encryption and the effect of these changes on performance. This paper introduces a thorough review focusing on the privacy of homomorphic cryptosystems targeting neural network models and identifies existing solutions, analyzes potential weaknesses, and makes recommendations for further research
Cooperative Learning Groups: A New Approach Based on Students’ Performance Prediction
Get PDFCooperative learning is a pedagogical approach in which students collaborate in small groups to attain a shared academic objective. In the classroom, cooperative learning aims to enhance learning outcomes by promoting the exchange of information, social, and personal resources among students. Group formation is a critical and complex step that significantly impacts the effectiveness of cooperative learning. In this article, we propose a novel approach for constructing cooperative learning groups that employs machine learning to predict student performance and incorporates the most common grouping strategies to recommend optimal group formation
The Affecting Factors of Students' Attitudes Toward the Use of a Virtual Laboratory: A Study in Industrial Electrical Engineering
Get PDFVirtual laboratory (VL) has become increasingly popular in Post-COVID-19 to support practical learning in the remote learning system. The use of VL was responded to by students with different attitudes. This study discusses the factors that influence the perception of Industrial Electrical Engineering (IEE) students in responding to the use of the VL in the learning process of the Electrical Machines Practicum Course. Based on the technology acceptance model (TAM), students’ attitudes toward using VL (are influenced by perceived ease of use (PEU) and perceived usefulness (PU). At the same time, PU also acts as an intervening variable. The research involved IEE students of the Electrical Engineering Department, at Universitas Negeri Padang. Data collection was carried out by survey using a questionnaire. Quantitative data were analyzed using variant-based structural equation modelling (SEM), with partial least square (PLS) or PLS-SEM. The results showed a significant positive effect between PEU and PU from the VL used against A. PU’s role as an intervener was also positive in mediating the effect of PEU on A so it became more prominent. Thus, it can be concluded that PEU and PU are the factors that must be considered in choosing VL to be applied to a practical learning process in the remote learning system