Online-Journals.org (International Association of Online Engineering)
Not a member yet
9805 research outputs found
Sort by
Static, Transient, and Fatigue Design and Analysis of a Hip Femoral Stem Using the Finite Element Method
Get PDFThe hip femoral stem is vital in ensuring patient support and mobility, and research into the femoral stem is critical for improving the durability and strength of orthopedic prostheses. Using the finite element method, this paper evaluates a femoral stem’s static, transient, and fatigue behaviors using three different materials: Ti-6Al-4V, CoCr alloy, and AISI 316L. ANSYS Mechanical software was used to perform the static analysis, evaluate deformations and stresses, and perform the transient analysis to simulate dynamic loading conditions. In addition, a fatigue analysis was conducted to determine the resistance to repetitive load cycles. The results showed that the stresses and strains in the transient analysis were higher than in the static analysis because the transient analysis considers dynamic and time-varying loads. In addition, the Ti-6Al-4V material exhibits higher fatigue resistance, a significantly longer service life, and lower stresses in the static and transient range. These findings reaffirm the importance of selecting materials that balance stiffness, structural strength, and fatigue to optimize the performance and durability of femoral implants
Enhancing Professional Employability: The Impact of Agile Methodology Training
Get PDFIn today’s rapidly evolving business landscape, Agile methodologies have emerged as a crucial approach for organizations to remain competitive and responsive to change. Despite the growing adoption of Agile frameworks, there is a lack of quantitative research examining the impact of Agile certifications on individual career trajectories. This study aims to bridge this gap by investigating the relationship between acquiring Agile certifications and career outcomes, specifically focusing on professionals from business administration (BA) and computer science (CS) backgrounds. Employing survival analysis (SA), particularly the Kaplan-Meier method, we assess the temporal dynamics of career advancement events, including job promotions, job transitions, and changes in job responsibilities. Our findings reveal that the most prevalent career advancement is promotion, occurring on average after 1,102.98 days, while the average time for observing at least one career effect is 733.37 days. The study also identifies scrum master and product owner as the most sought-after Agile certifications. These results contribute to the understanding of how Agile methodologies influence career progression and provide valuable insights for professionals, employers, and educational institutions navigating the dynamic landscape of Agile adoption. The findings underscore the importance of Agile certifications in fostering career growth and adaptation to the evolving demands of the industry
Students’ Attitudes towards AI in Teaching and Learning
Get PDFThe use of AI technology in education has generated an increasing interest in teachers, academicians, researchers, and students. This study synthesizes the responses from a survey conducted among 2230 students at a technical university in Czechia, aiming to capture their attitudes towards integrating AI technology in academic settings. We analyzed students’ perceptions on familiarity with the topic, perceived benefits and challenges of AI in education, ethical aspects, and perspectives for their teachers on this technology. A questionnaire was designed and administered within the frame of this study. Results reveal that the majority of respondents are familiar with and use AI technology, most of whom use it ‘sometimes’ or ‘commonly.’ Information processing and understanding is the most common purpose for using AI. Time efficiency and accessibility are the most reported advantages of AI, while the potential disadvantages involve credibility, overreliance, misuse, and scope-level concerns. Half of participants suggest students rarely or never consider ethical issues in their AI use. Most students believe that universities should clarify the gray areas regarding how and in which areas AI is allowed by establishing relevant ethical guidelines. Nearly half of student participants report that their teachers are moderately or more open to improving their understanding of AI use, while only a minority report that their teachers use it in practice
Artificial Intelligence in Higher Education: Enhancing Learning Systems and Transforming Educational Paradigms
Get PDFThis study ventures into the expanding role of artificial intelligence (AI) in higher education and its potential to revolutionize the learning experience. Through a qualitative approach, we investigate how advanced AI-driven educational tools can enhance learning systems through tailored learning experiences, AI-powered adaptive tutoring platforms, immersive digital learning environments, and AI-assisted assessment and feedback systems. From a theoretical perspective, we utilize the constructivist theory of learning as a study framework to explain the role of technology in AI-facilitated personalized and collaborative knowledge construction. This study was executed in three stages. First, we present a brief overview of AI and its recent impact on the education system, including its ethical considerations and implementation hurdles. In the second stage, we propose the potential implications for learning contexts through the constructivist lens, the process of AI-supported cognitive development, and the use of AI tools for optimizing educational processes through AI and transformation in educational paradigms and study work. The findings suggest that institutions can unlock new opportunities for efficiency, accessibility, and personalized learning by adopting AI technology, but they also highlight the need to address ethical considerations and implementation hurdles. This study also contributes to future studies by examining the impact of AI on student outcomes, teacher roles, and institutional practices in education, as well as exploring ethical and equity concerns in AI-driven educational settings
Future Trends of Smartphone Application Intention to Use: Expansion of the Technology Acceptance Model
Get PDFThe emergence of smartphone applications has affected all types of industries. Rapid smartphone adoption has introduced a variety of mobile applications into the consumer market, transforming the way consumers perform various daily tasks and activities. As is the case in the tourism industry, through the positive features provided by smart phone applications, the tourism sector constitutes a major factor in Jordanian national income. Today, Jordan has the highest percentage of mobile application users, with high usage rates of mobile application features. However, tourism in Jordan is still suffering. Therefore, this study was conducted to examine the influence of smartphone application features, perceived usefulness, ease of use, and word of mouth (WOM) on the intention to use mobile applications in the Jordanian tourism industry. This study adopted a quantitative approach. It was based on a sample collected from tourists in Jordan using a self-administered questionnaire. A total of 420 copies of the questionnaires were distributed. The research model was empirically tested using structural equation modeling (SEM). SEM findings revealed that approximately 80% of the variance in intention to use mobile apps was accounted for by mobile app features, perceived usefulness, perceived ease of use, and positive WOM. The results showed that perceived usefulness and perceived ease of use were significantly related to WOM. The results of this research provide managerial guidelines for developing effective strategies for mobile applications in the Jordanian tourism industry
The Online Learning Platform Using Animation Media for Storytelling to Enhance Students’ New Normal Learning Outcome
Get PDFThe online learning platform using animation media for storytelling is a tool designated to be used for public relations, providing students and the general public with helpful and correct educational guidance about curricula and instruction management in the Broadcast Program, College of Industrial Technology, King Mongkut’s University of Technology North Bangkok, Thailand. Thereby, the said platform relies mainly on animation media to give information in the form of storytelling, in which users can interact with the said animation media in real time. The study is based mainly on pre-experimental research, in which the 50 participants, comprising the students of King Mongkut’s University of Technology North Bangkok and the general public, were asked to study with this online learning platform using animation media and then answer the questionnaire in the quality evaluation form with a five-level rating scale. The study results insist that the online learning platform using animation media for storytelling is efficient enough to be used as a tool for public relations and for educational guidance to enhance students’ new normal learning outcome in Thailand. This is because the said platform can provide useful and correct information about the curricula and the instruction management in the broadcast program. In addition, the digital learning environment on this platform is believed to stimulate enthusiasm and interest in learning while promoting access to information through animation media with no limitations of time and place
Beware of What Lurks in the Margin: Glosses, Mobile Digital Games, and Incidental Vocabulary Learning
Get PDFThe study was set to investigate the effectiveness of meaning-given (meaning-G) and multiple-choice (choice-G) glosses in enhancing incidental vocabulary learning by word learning activities developed with a tablet digital game (DGBVL). Fifty-four Persian speakers (13–14 years old) were divided into meaning, choice, and control (CG) groups randomly after their vocabulary knowledge sizes were measured (2100–2400). After administering two pretests, measuring receptive and productive knowledge of 20 concrete nouns, participants played a commercial adventure game. They read a modified game guide and completed a chapter of the game in pairs. Meaning-G had a single Persian definition, choice-G had three, and CG had none on the page margins. Three weeks later, the participants took post-tests, receptive and productive, without forewarning. Moreover, qualitative data were collected. Results showed that 1) DGBVL activities could enhance incidental learning of the target words regardless of the gloss types; 2) contrary to our expectations, meaning-G enhanced target word productive knowledge acquisition much more effectively than choice-G; and 3) glosses led to different vocabulary learning strategies. This study extends the literature by advising prospective teachers to employ meaning-G to enhance vocabulary acquisition through DGBVL activities effectively
Personalized Education via Mobile Technology Flexible Learning Frameworks
Get PDFThe prevalence of mobile and ubiquitous computing equipment is transforming how learners conduct their education. Nevertheless, the bulk of educational content generated for desktop platforms is unacceptable for handheld gadgets. Furthermore, some materials that are irrelevant to the preferences of the learner or the contextual environment might reduce the effect of learning and elevate the cost of communication. Furthermore, there is a deficit in the academic structure for mobile learning. This paper proposes personalized adaptation techniques for customized modification contents. This in turn strives to offer adaptive content contingent on learner experience and device capabilities. On top of that, it recommends a few alternatives to producing intelligent and adaptive material for children. Numerous facets of the study are examined to employ the benefits of learner, device, and location modeling in tandem with mobile technology to provide a personalized spread of multimedia-rich resources at any time or anywhere. As an outcome, it delivers proper learning resources and applies the learning style most suitable to the demands and tastes of each learner (personalized learning). Our system enables several types of learning styles to pick from, but the most significant aspect is to pair each learner’s characteristics with the right program and learning style. A novel chance for a broad range of learners to boost their knowledge in a tailored manner is made accessible by the adaptation of the material and styles, which enables the learning process to be dynamic. Additionally, our system’s resilience and interaction have risen owing to multi-agent system modeling
AI-Driven Education, Careers, and Entrepreneurship for a Transformed Tomorrow: A Case Study Unlocking Success
Get PDFIn this in-depth exploratory case study of artificial intelligence (AI), the researchers applied a scaled, reactive, and parallel approach relating to education, employment, and entrepreneurship, wherein the data from the previous case study was used to inform the next of three case studies. Dissimilar to what was supposed from extant literature, the results revealed that AI may support learning without escalating biases or inequities. Increased and continued learning occurred within two weeks of the first pilot.The findings contribute to the resourcing literature by unveiling the capability to apply AI-driven data to boost an increase in behavioral learning, whether classical, operant, or observational. Specifically, the data shows that underperforming students, those lagging on standardized tests, and those of lower income levels can increase their learning when offered individualized and adaptive learning tailored to distinct needs, preferences, and abilities. The change is due to increased purposive attention that is AI-driven and maintains learners' interests through an avatar. This study shows how AI progress, particularly scaled, reactive, and parallel AI, can lead to new tools and services for advancements that impact performance support, employment trends, corporate learning, and professional development. Also, the study shows that AI-driven education can improve job prospects and career growth, benefiting learners, academics, and practitioners. This exploratory research results inform widespread AI implementation, fostering educational and career synergies
The Learning Hub – Empowering Remote Rural Communities across India through Blended Learning
Get PDFThis case study explores The Learning Hub, an initiative of the Aga Khan Foundation (AKF), which hosts, among many other learning assets, a three-strand learning programme to enhance the quality of life in rural India through innovative blended learning strategies. The programme, delivered by the Aga Khan Rural Support Programme India (AKRSPI), addresses critical issues such as water sanitation, sustainable agriculture, and governance by delivering courses through a combination of video-based online content and in-person facilitation. The study provides a brief analysis of AKF's blended learning approach, and its impact on community resilience, economic development, and social equity