Online-Journals.org (International Association of Online Engineering)
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Analysis of the General Skills of Graduates in Environmental Sciences: The View of Students, Teachers and Employers
Get PDFGeneral competencies are crucial for the personal and professional growth of university graduates. This paper provides a critical analysis of the significance and level of competence development within the environmental sciences degree (ESD) context. The research involved surveys conducted among final-year students, faculty members, and industry employers. The survey results reveal that employers perceive the level of competence achieved to be higher than what teachers and students reported. However, all three groups acknowledge a high level of competence development for most skills. Nonetheless, certain competences such as critical thinking (CT), problem-solving, organisation, and planning need to be strengthened to better align with their perceived importance. Students tend to undervalue essential competences such as digital literacy and environmental awareness, contrary to international organisations’ recommendations. The study findings also underscore the necessity of enhancing “entrepreneurial skills” and emphasising the significance of the digital realm for students pursuing an environmental sciences degree
Improving Student Engagement and Success in Computer Programming Courses through Social Learning in Online Environments
Get PDFThis paper addresses the necessity to enhance the effectiveness of online learning (OL) environments by examining the influence of social interactions on learner motivation, engagement, and success, specifically focusing on online computer science education (CSE). Acknowledging the limitations of peer-to-peer and learner-to-teacher interactions on online platforms, this paper delves into the potential of social learning (SL) organized through learner groups, communities, or networks to significantly enrich the learning experience. To test the hypothesis that SL positively impacts student outcomes, an experiment was conducted with 49 engineering students divided into two groups. The first group undertook an object-oriented programming course in C++ using the Moodle platform, while the second group, in addition to the online course, participated in asynchronous group activities through forums and synchronous interactions via chat. The results reveal a notable positive impact of SL on student outcomes, with participants in the second group reporting higher satisfaction levels and achieving superior results compared to those in the first group. The findings underscore the significance of integrating social interaction into OL environments, with potential implications for enhancing the overall quality of education and student performance in society
Digital Learning Demand and Applicability of Quality 4.0 for Future Education: A Systematic Review
Get PDFThis study investigates the demand for digital learning and the application of Quality 4.0 for future education in higher education institutes (HEIs). Quality 4.0 leads to digital transformation for innovation, excellence, and performance. Over the past decade, the educational landscape has undergone a revolution due to digitalization and enhancing academic development. The present study, through a systematic review of the literature published from 2017 to 2023, aims to highlight how digital advancements have played a critical role in improving the people and operations of higher education institutes to meet the growing challenges in the education sector. The implementation of Quality 4.0 and the application of its practices in HEIs can drive innovation through technological advancements in the Internet of Things (IOT), blended learning, and artificial intelligence (AI) to meet the increasing demand for digital learning. The findings suggest that digital learning through various technologies brings about significant changes in employment, skill development, and the educational environment. However, these advancements do not come without challenges, including the imperative of faculty development, the establishment of robust technological infrastructure, ethical considerations in AI implementation, and quality management. More research is needed to address the gap in understanding the applicability of Quality 4.0 and the demand for digital learning in higher education institutes
Cybersecurity and Efficacity of Open Data Platforms
Get PDFCybersecurity is critical for protecting open data. Transparency and innovation are facilitated by open data platforms; however, concerns about cybersecurity and privacy persist. This study examines the role of cybersecurity in public institutions in the Republic of Kosovo to determine methods of safeguarding data integrity. The main aim of this study was to examine the role of cybersecurity in securing open data in public organizations in the Republic of Kosovo. The study aimed to identify optimal cybersecurity practices in the context of open data and provide a comprehensive overview of the implementation of cybersecurity measures. This study employed a structured and methodical approach to assess cybersecurity and the effectiveness of open data platforms in public organizations in the Republic of Kosovo. Results: The study provides an overview of the status of open data platforms in the Republic of Kosovo and highlights the importance of cybersecurity, data privacy, and data integrity. Despite the stated concerns, such as enhancing security measures and increasing user knowledge, it is evident that public institutions have made significant progress in securing and enhancing their open data platforms. It is suggested that institutions in the Republic of Kosovo continue to invest in cybersecurity, promote privacy protection measures, and focus on enhancing the quality of open data to develop in this sector. Furthermore, collaboration and coordination across institutions and government agencies are required to enhance the efficiency and effectiveness of these platforms
The Way to Construct Innovative Methods for Solving Initial-Value Problem of the Volterra Integro-Differential Equation
Get PDFMathematical models for many problems in the natural sciences are often simplified to solving initial-value problems (IVPs) for the Volterra integro-differential equations (VIDE). Numerical methods of a multistep type are typically used to solve these problems. It is known that in some cases, the multi-step method (MSM) is applied to solving the IVPs of both ordinary differential equations (ODEs) and VIDE encountered in solving some problems in mathematical biology. Here, to solve such problems by combining different methods, some modifications of established methods were developed, and it was demonstrated that these methods outperform the existing ones. As is known, one of the main issues in solving the aforementioned problems is determining the reliability of calculating values using the known mathematicalstatistical models (MSMs). In this regard, some experts utilize the predictor-corrector method. Having highlighted the disadvantages of this method, the proposal is to develop an innovative approach and assess the errors that may arise when applying this method to solve various problems. Here, the IVPs for the VIDE of the first order are primarily investigated. To illustrate the benefits of the innovative methods proposed here, we discuss the use of simple numerical methods to solve some common examples
Study on the Willingness of Mobile Advertisement Users Based on TAM Model
Get PDFThis study aims to explore the framework of the technology acceptance model (TAM) to examine how subjective norms, perceived precision, and perceived control can positively influence users’ willingness to adopt mobile ads by enhancing perceived usefulness. In the context of the rapid development of the digital era, mobile advertising serves as an important marketing tool. Its user acceptance directly impacts the marketing effectiveness of enterprises. Therefore, a profound comprehension of the key factors that influence user adoption of mobile ads is crucial for designing more effective mobile ad strategies. In this study, we collected the attitudes and responses of users from various backgrounds towards mobile advertising and conducted data analysis using a structural equation model. The study found that subjective norms, perceived accuracy, and perceived control are important factors influencing users’ perceived usefulness. Additionally, perceived usefulness significantly and positively impacts users’ willingness to adopt mobile ads
Challenges and Opportunities in Cloud Computing Education: Saudi Arabia Case Study
Get PDFThe complexity of cloud computing development often presents significant challenges for junior software engineers. Our mixed-method study examines the challenges, motivations, and importance of acquiring knowledge and practical experience in cloud computing for junior software engineers before they enter the job market in Saudi Arabia. Furthermore, our work highlights the necessity of revising traditional educational approaches by integrating practical projects into the curriculum, as well as addressing challenges related to cost and accessibility
How Virtual Reality Impacts Science Learning? A Meta-Analysis
Get PDFIn recent years, virtual reality (VR) has gained popularity in aiding science education. There are variations in the results reported by the researchers on the effect of VR on student learning outcomes. This study aims to map the results of studies using VR on student science learning outcomes through meta-analysis. In addition, studies were also analyzed on the effects of years of publication, education levels, learning subjects, continents, immersive levels, and time of use of VR. There are 24 articles from international journals that deserve to be analyzed in the 2014–2023 period. The data were analyzed using Excel and JASP applications by presenting results in size effect values, forest plots, and published bias tests. The analysis showed that VR science learning improved learning outcomes compared to conventional learning. Analysis of moderator variables showed no significant effect at the level of education and time of use of VR. However, in education, the year of publication, the continent, and the immersive level showed a significant influence. These findings confirm that VR is an efficient technology that improves students’ science learning outcomes. In further research, other researchers can investigate VR related to the teacher’s role as a tutor or instructor, pedagogical approaches in VR, types of VR devices, and students’ technological skills in using virtual reality
E-Sport Engagement Prediction Using Machine Learning Classification Algorithms
Get PDFIn recent years, e-sports has experienced a rapid surge in popularity, attracting a vast and diverse audience. As this industry continues to evolve, understanding and predicting e-sport engagement becomes increasingly vital for stakeholders, including game developers, tournament organizers, sponsors, and marketers. Machine learning classification algorithms offer a powerful approach to analyse and forecast user engagement in e-sports, thereby enabling the industry to tailor experiences to individual preferences and behaviours. Thus, this study investigates the level of engagement classification technique of data mining using predictive modelling operations with four different classes, namely strongly agree, either agree or disagree, disagree, and strongly disagree. Machine learning algorithms, particularly classification models, have proven to be effective in analysing large and complex datasets related to e-sport engagement. This study applies statistical techniques to categorize users based on 59 attributes of 106 instances to predict the engagement levels. By training on historical user data, six classification algorithms from two groups, namely bayes and rules, have been used to identify patterns and trends that are indicative of different engagement levels, with the accuracy ranges from 76% to 92%. For feature selection, the result shows that participating in activities, enjoying exchanging ideas, and playing with like-minded gamers were the top three ranking dimensions contributing to the level of engagement. Machine learning classification algorithms have the potential to revolutionize how e-sport engagement is understood and optimized. By analysing diverse data points and leveraging advanced predictive techniques, machine learning algorithms enable stakeholders to tailor e-sport experiences to individual preferences and behaviours, ultimately enhancing user engagement and satisfaction
The Impact of Mobile Payments on the Financial Management Efficiency of Small and Medium-Sized Enterprises
Get PDFIn recent years, mobile payment technology has rapidly developed and gradually become an integral part of daily economic activities, particularly within small and medium-sized enterprises (SMEs). The widespread adoption of mobile payments has significantly transformed financial management and operational models in SMEs. As vital drivers of economic growth, the financial management efficiency of SMEs is crucial to their survival and development. The extensive application of mobile payments not only facilitates daily transactions but also provides additional data and information support, potentially enhancing financial management efficiency. However, although numerous studies focus on the impact of mobile payments on business operations, there is a gap in the specific examination of their effect on the financial management efficiency of SMEs. Existing research predominantly addresses the impact of mobile payments on the overall market, lacking detailed analysis targeting SMEs. Furthermore, research methodologies often overlook the heterogeneity of user behavior on mobile payment platforms, failing to comprehensively reflect the differential impact on various types of enterprises. This study explores how user utility, user scale, platform profit, and equilibrium price affect the financial management efficiency of SMEs by constructing a theoretical model. It consists of two parts: initially defining financial management efficiency in SMEs and analyzing its influencing factors to update their financial management models. Subsequently, it examines the impact of mobile payment platforms on these factors through empirical analysis and model derivation. The findings demonstrate that mobile payment technology significantly enhances the financial management efficiency of SMEs, offering useful insights for business management and policy-making