Emerging Science Journal最新文献

{"title":"Gender Differences in Academic Staff Performance: An Advanced Analysis Using PLS-SEM in Higher Education","authors":"Ghilan Al-Madhagy Taufiq Hail, S. M. Yusof, M. Shakir, Maryam Juma Al Farsi, I. R. Al-Shamsi, Adel Sarea","doi":"10.28991/esj-2024-sied1-09","DOIUrl":"https://doi.org/10.28991/esj-2024-sied1-09","url":null,"abstract":"This study aims to comprehensively explore the intricate dynamics among positive and negative emotions, self-efficacy, and task performance within the unique context of the Covid-19 pandemic in Bahrain, specifically placing emphasis on potential gender-related distinctions within the proposed relationships. The ongoing pandemic accentuates the need to investigate the interplay between emotional states, self-efficacy beliefs, and task performance in academic and teaching domains, especially considering potential gender variations within the framework of a society promoting gender equality. Employing a quantitative survey instrument and rigorous statistical techniques, the study validates its proposed model through indicators such as the coefficient of determination (R²) and predictive relevance (Q²). The diverse sample comprises academic and teaching staff of both genders from Bahrain. Advanced statistical methodologies, including Measurement Invariance (MICOM) and Multigroup Analysis (MGA) facilitated by SmartPLS PLS-SEM, provide deeper insights into gender disparities. Significantly contributing to existing knowledge, this paper elucidates the complex relationships among emotions, self-efficacy, and task performance amid a crisis, with a distinctive focus on meticulously investigating gender differences. The study underscores the consistent positive impact of positive emotions on task performance across genders in Bahrain. Recommendations advocate for prioritizing support for academic and teaching staff during crises, emphasizing the positive impact on academic outcomes. Future research should explore demographic intricacies and potential mediating or moderating factors, deepening the comprehension of these complex dynamics. Highlighting the cascading impact of prioritizing the well-being and morale of academic and teaching staff, the study envisions a positive transformation resonating across various facets of society, extending beyond the confines of academia. Doi: 10.28991/ESJ-2024-SIED1-09 Full Text: PDF","PeriodicalId":502658,"journal":{"name":"Emerging Science Journal","volume":"119 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141665442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Motivation on MOOC Retention Rates: A Systematic Review","authors":"Zakaria Alj, Anas Bouayad","doi":"10.28991/esj-2024-sied1-08","DOIUrl":"https://doi.org/10.28991/esj-2024-sied1-08","url":null,"abstract":"This systematic review investigates the effectiveness of motivational strategies on learner engagement and retention rates in Massive Open Online Courses (MOOCs). Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we analyzed 140 studies published between 2014 and 2023 from key academic databases. The objective was to identify and evaluate motivational strategies that significantly reduce MOOC dropout rates. Our findings reveal that personalized learning, interactive content, and peer collaboration are strongly correlated with increased learner engagement and persistence. These strategies align well with learners' intrinsic goals, enhancing their educational experience and adherence to courses. The review also identifies gaps, such as the need for longitudinal studies and culturally tailored motivational strategies, offering a refined agenda for future research in MOOC education. This study contributes to the field by systematically synthesizing existing research, providing new insights into effective educational strategies, and highlighting areas for improvement in MOOC design and implementation. Doi: 10.28991/ESJ-2024-SIED1-08 Full Text: PDF","PeriodicalId":502658,"journal":{"name":"Emerging Science Journal","volume":"112 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141665813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"EFL Instructors’ Perspective on Using AI Applications in English as a Foreign Language Teaching and Learning","authors":"W. Hazaymeh, Abdeldjalil Bouzenoun, Abdelghani Remache","doi":"10.28991/esj-2024-sied1-05","DOIUrl":"https://doi.org/10.28991/esj-2024-sied1-05","url":null,"abstract":"This study aimed to explore the perspectives of EFL instructors working in a variety of universities in the UAE on the effectiveness of AI applications in the EFL classroom. EFL teachers need to use AI applications in ways that are aligned with instructional goals and support student learning. A quantitative approach was used, and data was gathered from a survey of 46 EFL instructors. The results showed that the instructors strongly relied on AI applications to facilitate tasks, offer data-driven insights to improve instructional strategies and customize the learning process for each student. They also positively valued the benefits that AI applications bring to their classrooms for improving the teaching process. Notably, the results showed that the years of teaching experience had a statistically significant impact on the means of EFL instructors' perspectives regarding the benefits of adopting AI apps in EFL classrooms. The results also showed that, despite teaching experience, there were no significant differences in perceptions regarding the challenges of utilizing AI apps. This is probably because EFL students are accustomed to using technology in their lectures. Due to their benefits in English language instruction, the study suggests incorporating AI applications into the EFL teaching process. Doi: 10.28991/ESJ-2024-SIED1-05 Full Text: PDF","PeriodicalId":502658,"journal":{"name":"Emerging Science Journal","volume":"69 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140249325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards the Study of Professional Corporate Education in Terms of Its Thematic Focus and Outcomes","authors":"Marta Matulčíková, Daniela Breveníková, Zuzana Geršicová, Jana Hanuliaková","doi":"10.28991/esj-2024-sied1-04","DOIUrl":"https://doi.org/10.28991/esj-2024-sied1-04","url":null,"abstract":"Aim: The aim of the paper is to characterize how the time for training employees in individual thematic areas is related to the outcomes and changes, facilitated by individual educational activities. Methods: The questionnaire method and interviewing methods were applied for obtaining data from respondents. The starting-point of empirical research was the knowledge and needs of the company, which perceives education as an investment. The respondent sample included 370 lectors/instructors and managers from three countries. The research was conducted in selected companies of section C − Manufacturing, Statistical Classification of Economic Activities. Basic variables include the number of training hours and results of the changes after training activities. Three groups of employee education are analysed: general training, performance-oriented training and digital training. Findings: Our division of educational activities into three groups enables the fulfilment of the basic European Commission targets for the 2021−2027 programme. Recommendations: Invest in developing new skills through future corporate training in the context of innovative transformation of the economy for a smarter Europe. Create conditions for better utilisation of human potential by eliminating the discrepancy between offered and required skills. Novelty of the paper:international comparison of educational activities, focus on the smart Europe and transformation to Industry 4.0. Doi: 10.28991/ESJ-2024-SIED1-04 Full Text: PDF","PeriodicalId":502658,"journal":{"name":"Emerging Science Journal","volume":"67 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140251102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New Model of Inclusive Higher Education Practices in Megacities’ Universities","authors":"Irina Lantsova, Kutsuri Georgiy, Lyudmila Shcherbatykh, Marina Gladysheva, Veronica Grebennikova, Próspero Morán, Mikhail Kosov, Nermeen Singer, Iskandar Muda, Olesya Dudnik","doi":"10.28991/esj-2024-sied1-03","DOIUrl":"https://doi.org/10.28991/esj-2024-sied1-03","url":null,"abstract":"This study analyzes the problem of higher professional education for people with disabilities in multinational megacities from different countries. The aim of this paper is to investigate the emerging changes and perspectives of educational inclusion in the universities of Moscow, Jakarta, Barcelona, and Cairo and to develop a new model of inclusive educational practice for universities based on an inclusive ideology of understanding the position of people with disabilities in the education system and society overall. To perform this study and verify the new model proposed by the authors, participants were selected from ten universities that indicated parameters such as accessibility, participation, quality, students’ education results, and government funding. The survey aimed to collect participants’ perspectives and experiences from diverse elements of the higher education community in the aforementioned locations. 751 participants were selected for the survey with a balanced gender distribution: 48.6% men and 51.4% women. Age distribution was rather diverse: the age group of 18–24 years was 25,7%, the age group of 25–34 years was 27,3%, the age group of 35–44 years was 25,6%, and the age group of 45 years 21,4%. Another distribution was people without disabilities (N=250) and with disabilities (N=551). The reliability of the research was achieved using several methods, including ANOVA. The results of this research show similarities and differences in implementing inclusive education practices across selected locations, providing a detailed picture of the current state and future perspectives of higher inclusive education. The scientific novelty of this research lies in the theoretical-methodological rationale of the new model of inclusive higher education practices in universities of major megacities and in forming the propositions on this model’s implementation in higher education institutions. Doi: 10.28991/ESJ-2024-SIED1-03 Full Text: PDF","PeriodicalId":502658,"journal":{"name":"Emerging Science Journal","volume":"11 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140444618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extracting Explicit and Implicit Aspects Using Deep Learning","authors":"Mikail Muhammad Azman Busst, K. Anbananthen, Subarmaniam Kannan, Rajkumar Kannan","doi":"10.28991/esj-2024-08-01-05","DOIUrl":"https://doi.org/10.28991/esj-2024-08-01-05","url":null,"abstract":"The proliferation of user-generated content on social networks and websites has heightened the significance of sentiment analysis, also known as opinion mining, as a critical tool for comprehending people’s attitudes toward various topics. Aspect-level sentiment analysis, which considers specific aspects or features of texts, provides a more comprehensive view of sentiment analysis. The aspect-level approach encompasses both explicit and implicit aspects, where explicit aspects are readily mentioned in texts while implicit aspects are implied or inferred from contextual clues. Despite the significance of implicit aspects in the overall review, previous research has predominantly focused on explicit aspect extraction. Limited attention has been given to the extraction of implicit aspects, despite their potential impact on capturing the complete sentiment picture of texts. Therefore, this study aims to find an aspect extraction solution capable of identifying and extracting both explicit and implicit aspects from texts. This study compares various machine and deep learning models on the SemEval-2014 and SemEval-2016 restaurant datasets. The experimental analysis demonstrates that the proposed Aspect-BiLSTM model emerged as the best-performing model, achieving high accuracy in classifying both explicit and implicit aspects, with 92.9% accuracy for the 2014 and 90.7% accuracy for the 2016 datasets. Notably, the proposed solution was able to capture multiple aspects of texts, making it more robust and versatile. This study highlights the efficacy of the Aspect-BiLSTM model for aspect extraction, which will give valuable insights into the advancement of aspect-level sentiment analysis. Doi: 10.28991/ESJ-2024-08-01-05 Full Text: PDF","PeriodicalId":502658,"journal":{"name":"Emerging Science Journal","volume":"783 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140467942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Employees’ Perceptions of Workplace Safety Culture: A Case Study of a Polyester Company","authors":"Thepporn Jaroenroy, Supinya Piromsri, Phatchupha Haitian, Laksanee Boonkhao, Pongsak Rattanachaikunsopon","doi":"10.28991/esj-2024-08-01-017","DOIUrl":"https://doi.org/10.28991/esj-2024-08-01-017","url":null,"abstract":"Safety culture is a crucial component of ensuring workplace safety and preventing accidents. This study aimed to assess the safety leadership and safety culture of a polyester company in Thailand. Data gathering was conducted utilizing survey forms developed by the study team, including the 360-degree safety leadership survey and the 36-question safety culture survey. The sample group, comprising 1,286 individuals, consisted of management, employees, and independent contractors from a polyester company with four business units. Both the safety leadership and the safety culture perception surveys were provided with average values, thorough descriptions, graphical representations, and visuals. The study revealed that the perceptions of safety leadership and safety culture among the employees aligned with the standard level. However, certain issues, including off-the-job safety, communicating about safety, empowering other employees, setting safety standards and expectations, and promoting safety improvements and sharing, placed the organization’s safety culture at the foundational level, requiring management commitment and awareness development. For further actions, the company should emphasize the value of strategic workers' involvement in programs that empower employees, such as visible safety leadership for all management levels, notification and reporting programs, and safety sharing among business partners, to establish a world-class safety culture as the company's goal. Doi: 10.28991/ESJ-2024-08-01-017 Full Text: PDF","PeriodicalId":502658,"journal":{"name":"Emerging Science Journal","volume":"1063 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140467530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Third-order Two Stage Numerical Scheme and Neural Network Simulations for SEIR Epidemic Model: A Numerical Study","authors":"M. Arif, K. Abodayeh, Y. Nawaz","doi":"10.28991/esj-2024-08-01-023","DOIUrl":"https://doi.org/10.28991/esj-2024-08-01-023","url":null,"abstract":"This study focuses on the cutting-edge field of epidemic modeling, providing a comprehensive investigation of a third-order two-stage numerical approach combined with neural network simulations for the SEIR (Susceptible-Exposed-Infectious-Removed) epidemic model. An explicit numerical scheme is proposed in this work for dealing with both linear and nonlinear boundary value problems. The scheme is built on two grid points, or two time levels, and is third-order. The main advantage of the scheme is its order of accuracy in two stages. Third-order precision is not only not provided by most existing explicit numerical approaches in two phases, but it also necessitates the computation of an additional derivative of the dependent variable. The proposed scheme's consistency and stability are also examined and presented. Nonlinear SEIR (susceptible-exposed-infected-recovered) models are used to implement the scheme. The scheme is compared with the non-standard finite difference and forward Euler methods that are already in use. The graph shows that the plan is more accurate than non-standard finite difference and forward Euler methods that are already in use. The solution obtained is then looked at through the lens of the neural network. The neural network is trained using an optimization approach known as the Levenberg-Marquardt backpropagation (LMB) algorithm. The mean square error across the total number of iterations, error histograms, and regression plots are the various graphs that can be created from this process. This work conducts thorough evaluations to not only identify the strengths and weaknesses of the suggested approach but also to examine its implications for public health intervention. The results of this study make a valuable contribution to the continuously developing field of epidemic modeling. They emphasize the importance of employing modern numerical techniques and machine learning algorithms to enhance our capacity to predict and effectively control infectious diseases. Doi: 10.28991/ESJ-2024-08-01-023 Full Text: PDF","PeriodicalId":502658,"journal":{"name":"Emerging Science Journal","volume":"158 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visitor Experience Map and NFC-Based Scoring for Data-Driven Exhibition Enhancement","authors":"Siti Fatimah Abdul Razak, Jeslyn Pik Syuen Hee, Rashidah Ahmad, S. Yogarayan, Noor Hisham Kamis, Md. Shohel Sayeed","doi":"10.28991/esj-2024-08-01-015","DOIUrl":"https://doi.org/10.28991/esj-2024-08-01-015","url":null,"abstract":"In the current exhibition industry, it is crucial for organizers and exhibitors to comprehend and enhance visitor experiences. The objective of this study is to improve the exhibition setting by utilizing Near Field Communication (NFC) technology to capture, monitor, and analyze visitor behavior, engagement, and satisfaction. The main approach entails combining NFC technology with the Visitor Experience Map to fully understand the complexities of the visitor experience. NFC-enabled smartphones facilitate seamless interaction with the system, as users simply need to bring their smartphones close to NFC tags. This enables data collection and triggers the activation of a visitor scoring form for ratings and feedback. The study's findings indicate a mean system usability score of 81.4, which demonstrates successful implementation and great usability. This confirms the effective and easy-to-use nature of the strategy, guaranteeing that visitors can effortlessly provide their ratings and feedback. The originality and enhancement reside in the successful integration of NFC technology with the Visitor Experience Map, providing a strong and user-focused approach for organizers and exhibitors to enhance the exhibition experience. This study creates a favorable situation for both visitors and stakeholders, demonstrating the potential of technological advancements to greatly influence the exhibition industry. Doi: 10.28991/ESJ-2024-08-01-015 Full Text: PDF","PeriodicalId":502658,"journal":{"name":"Emerging Science Journal","volume":"90 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140470016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the Heating of Steel Structures During Fire Load","authors":"Zoltán Major, László Bodnár, D. B. Merczel, János Szép, Éva Lublóy","doi":"10.28991/esj-2024-08-01-01","DOIUrl":"https://doi.org/10.28991/esj-2024-08-01-01","url":null,"abstract":"During the preparation of our article, we present in detail the changes in the thermotechnical parameters of carbon steel and corrosion resistance during fire. After that, we present in detail the calculation of the heating of steel structures without fire protection. We feel this is important because it is not possible to provide stainless steel with fire protection for aesthetic reasons, and it is also not typical for thin-walled galvanized structures. We also present the calculation of structures with fire protection in detail and present the background for editing commonly used nomograms. Such a nomogram is also available in the literature, but it can be considered true with significant simplifications. During the practical planning, the applied fire protection regulations were highly standardized. Realizing that there is no design nomogram for these types of solutions, we created and published them in our article. The advantage of these is that the applicable design can also be found as the optimum of the designs considered to be potentially good. With this solution, we can save time during planning, and we can also get a more cost-effective solution for the fire protection cover. The advantage of the presented method is that, if required, the editing of the nomograms can be extended to other designs by knowing the material characteristics and the layer thickness. Another option of the presented method is that the solution can also be applied to special fire loads, and nomograms can be produced for them as well (e.g., hydrocarbon fires). Doi: 10.28991/ESJ-2024-08-01-01 Full Text: PDF","PeriodicalId":502658,"journal":{"name":"Emerging Science Journal","volume":"90 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140469585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}