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Exploratory study of factors affecting problem-solving competence among school administrators in Vietnam during the digital era
Get PDFThis study aims to identify the extent to which the staff believes the factors influencing problem-solving competencies among school administrators and to relate these beliefs to the perceived problem-solving competence of the administrators based on the perceptions among staff. This study designed a survey method that involved 731 teachers and administrators from various schools in the Central and Highlands areas, Ho Chi Minh City and the Southeast and Southwest Regions in Vietnam to accomplish these purposes. Structural equation modeling in the data analysis yields a robust model fit advocated by the socio-psychological theory of belief-behavior linkage. The conclusion is that the internal environment and the efforts made to develop science, technology and international collaborations have a significantly positive relationship in explaining the problem-solving competency of school administrators. However, the existing state of the external environment severely affects the problem-solving ability of school administrators. Improvements must be made to the facilities and equipment of the schools, the working conditions and the financial resources. Theoretical implications include environment-person fit, resource-based advantage, and development psychology which broaden the understanding of problem-solving abilities. School administrators should have a practical framework emphasizing the internal and external environments and procedural and investment-focused qualities
Collaborative inquiry-based instructional model to enhance mathematical analytical thinking and reasoning skills for fourth-grade students
Get PDFIn contemporary society, students’ analytical thinking and reasoning skills are crucial for their future development. The fourth grade (ages 9-10) is a critical stage for cultivating higher-level cognitive skills in students. Mathematics plays a significant role during this period, serving as a fundamental tool for fostering students' analytical thinking and reasoning abilities. Collaborative inquiry-based learning is considered beneficial for enhancing students' analytical thinking and reasoning skills. Therefore, this study aims to design a collaborative inquiry-based instructional model based on the characteristics of mathematics textbooks. The study extensively analyzes primary school mathematics textbooks published by Beijing Normal University and integrates the essential elements of collaborative inquiry-based learning to devise an instructional model tailored to the characteristics of mathematics textbooks. The model comprises six parts: Contextual Introduction (Question 1), Collaborative Inquiry (Question 2), Communication and Sharing (First round), Collaborative Inquiry (Question 3), Communication and Sharing (Second round), Review and Conclusion. The model is designed to assist students in acquiring knowledge through collaborative inquiry, stimulate their curiosity through contextualized learning, improve their analytical thinking and reasoning skills through collaborative inquiry, foster cognitive development through effective communication and sharing, and ultimately solidify acquired knowledge through reflection and conclusion. Theoretically, the analysis suggests that this model may positively impact students’ analytical thinking and reasoning abilities, providing a valuable reference for practical teaching
Using machine learning techniques to study of stress, depression, and academic performance of grade 12th students
Get PDFThe objectives of this research were 1) to study the problems of stress and depression among Grade 12 students; 2) to investigate the machine learning technique in analyzing and predicting stress, depression, and academic performance among Grade 12 students; and 3) to evaluate the stress and depression prediction platform. Students from schools in the Secondary Educational Service Areas of Nakhon Sawan, Uthai Thani, Chainat, and Pichit in Thailand comprised the sampling group, which the researchers recruited through simple random sampling. A total of 510 students volunteered to participate in the questionnaire, while 117 students served as the group for the evaluation platform. The researcher employed a total of three assessments: 1) the Stress Assessment Scale (SPST-20), 2) the Depression Assessment Form 9 Questions (9Q), and 3) the Death Assessment Form (8Q) to gather data and develop the platform. The data analytics process incorporates all assessment results, comparing five techniques to yield the most accurate results. The article presents the research results, which will guide the development of a system and tools for future student monitoring in schools
Economy and empirical research perspectives towards Artificial Intelligence: A deep dive investigative exploration analysis
Get PDFThe transformative potential of Artificial Intelligence (AI) has sparked significant interest across economic and empirical research domains, inspiring investigations into its impacts on productivity, labor markets, economic growth, and policy adaptation. This study offers a comprehensive analysis of AI's economic implications, focusing on its integration into diverse sectors and its measurable effects on economic performance. Through a multi-dimensional approach, we explore AI’s role in enhancing productivity and efficiency, reshaping workforce dynamics, and influencing the distribution of economic benefits. Supported by recent empirical studies and quantitative analyses, this research highlights AI’s capacity to drive innovation while examining its challenges, such as labor displacement, income inequality, and skill gaps. Case studies and data-driven insights provide evidence of AI’s role in fostering new economic models, underscoring its dual potential to stimulate growth and exacerbate disparities. Furthermore, the study delves into the evolving landscape of policy responses, analyzing how different regulatory frameworks influence AI’s integration and impact across economies. By offering nuanced perspectives on AI’s transformative effects, this investigation identifies key trends and areas requiring further research, including the long-term implications for developing economies and global inequality. The findings aim to equip policymakers, researchers, and industry leaders with evidence-based insights to navigate AI’s complexities, ensuring sustainable and inclusive economic advancement in an AI-driven future
Hydrodynamic regimes and proposed structure for flood drainage and navigation stability in Thuan an estuary, Vietnam
Get PDFThua Thien Hue province is significantly affected by conditions of climate change and sea level rise. Located in central Vietnam, the province experiences various climate-related challenges that have a strong impact on its environment and communities. Furthermore, the complexity of hydrodynamic regimes at main estuaries is reasonably challenge for the development of socio-economic, especially in water transportation. As a large estuary of Thua Thien Hue province, Thuan An play a special role in flood drainage and waterway navigation of Huong River. Therefore, understanding the hydrodynamic regime of Thuan An estuary is crucial due to the continuous alterations in its morphology during monsoon seasons. Sedimentation within the estuary creates obstacles for the river mouth entering channel, while erosion affects the northern and southern coasts. These changes have direct implications for flood drainage and waterway navigation. To gain insights into the hydrodynamic regime, this study focuses on further interpretation the hydrodynamic regimes in Thuan An inlet using Delft3D model combined with ArcGIS tools. By combining scientific modeling and practical implications, this study contributes to a better understanding the hydrodynamics of Thuan An estuary, ultimately facilitating sustainable development and management of this vital waterway system. Importantly, proposed structure for flood drainage and navigation stability in Thuan An estuary is considered with the elongation of 2 jetties. The proposed measure shows that the flood drainage is insignificantly affected and the water level at mostly locations in the river is not changed
Challenges and Opportunities for Women’s Success in Entering Green Economy-Based Businesses: A Systematic Literature Review
Get PDFThis study aims to analyze the challenges and opportunities for women entrepreneurs to enter green businesses successfully. Moreover, to synthesize and review research on the green entrepreneurship topic in terms of theory, theme, methodology, and research setting. This study used a systematic literature review method based on the SPAR-4-SLR. The analysis is bibliometric and content analysis with Publish or Perish software as a database and VOSviewer software. A total of 31 articles were reviewed. The study shows that opportunities and challenges in entering the green economy come from both internal and external environments. The study identified the dominance of quantitative approaches in previous research and found that the typical research setting is a developing country in Asia. This study can help practitioners and researchers to know the opportunities and challenges in running a green business, thus enabling them to formulate policies, strategies, and guidelines to promote the sustainable development agenda. The selection of the study topic is based on the gap phenomenon, namely the enormous potential of women entrepreneurs in the development of a sustainable economy. This study reveals the trend of green entrepreneur research, ranging from theories, methods, and research settings
Environmental Sustainability: Mediating Effect of Environmental Knowledge for Pro-Environmental Behaviour
Get PDFThis study aims to examine the level of pro-environmental behaviour based on demographic profile and the interrelationship between environmental connectedness and pro-environmental behaviour via the mediating role of environmental knowledge. The quantitative and convenience sampling collected data from the Malaysian public. The collected data were analysed using the descriptive statistics and structural equation modelling (SEM) method. The findings show that there is a significant degree of pro-environmental conduct. Interestingly, though, there is very little variation in pro-environmental activity by age, gender, or educational attainment. Subsequently, the SEM findings demonstrated that environmental connectivity strongly impacted pro-environmental conduct. Additionally, environmental knowledge considerably and partially mediated the association between environmental connectedness and pro-environmental behaviour. This paper suggests that values and behavioural norms influence individual pro-environmental behaviour. This study suggests that people’s backgrounds, such as family upbringing, parenting lessons and school syllabuses, are crucial in shaping the young generation and the adults towards pro-environmental behaviour. Therefore, the government and local authorities can encourage parents and peers to nurture their children’s environmental values and perceived behaviour for better environmental sustainability. The value of the study shows that individuals’ values, behaviour and attitudes towards the environment can be inculcated at home and need continuous practice anywhere
Marketing Performance: Unpacking Market Orientation Mediated Innovation Capability and Sustainable Competitive Advantage of Small and Medium Enterprises Food
Get PDFThis research examines how market orientation influences marketing performance by mediating innovation capability and Sustainability Competitive Advantage. This research uses a quantitative approach to collect data and analyze the relationships between variables. The research sample consisted of 348 food-producing SME business actors in North Sumatra. Data analysis in this research uses Structural Equation Modeling (SEM) with the Partial Least Squares (PLS-SEM) method. The research results show that there is a direct influence of Innovation capability and sustainable Competitive Advantage on marketing performance. There is an influence of Market Orientation on Innovation Capability and Sustainable Competitive Advantage, but there is no influence of Market Orientation on Marketing performance. Then, innovation capability and sustainable competitive advantage have a mediating role in market orientation and marketing performance. This research provides a new contribution to understanding the factors that influence the marketing performance of SMEs. Combining market orientation, innovation capability and sustainable competitive advantage as mediation is an approach that has yet to be widely explored in previous literature. Practical implications for SME owners, business organizations, and government policies: Improving market orientation, innovation capabilities, and sustainability can help SMEs improve marketing performance, contributing to sustainable economic growth
Developing an e-module to improve the seventh-grade student's bump pass skills in volleyball
Get PDFThe objective of this study is to develop e-modules for bump pass learning for seventh-grade students. This study identified the problems and needs of students in learning bump pass skills, e-module eligibility and the effect of the e-module on students' bump pass skills. Two groups of seventh grades, two teachers serving as content experts and two media experts participated in this study at State Junior High School 1 Talawi. Five steps were used in conducting this research: analysis, design, development, implementation and evaluation. The researchers collected data through questionnaires, interviews, observation, documentation, expert testing and tests. The questionnaire, interview, observation and documentation results were analyzed using an interactive data analysis model. Expert test data were analyzed using the inter-rater agreement model and test result data were analyzed using an independent t-test. There are three findings in this research. First, the reason for the students' difficulties in learning bump passes is their lack of interest in the content found in their textbooks. They need learning media that are interesting and can be accessed through smartphones. Thus, e-modules are a suitable learning medium to solve problems and meet their needs. Second, the developed e-module was confirmed to have high content validity and meet the criteria for good learning materials and media based on the feasibility test results. Third, the e-module has positively and significantly affected students' understanding and bump pass skills. Thus, it is suggested that the module be used for teaching bump pass skills at other schools
Rethinking teacher training from an inclusive and community dialogical perspective
Get PDFThis quantitative survey using a structured questionnaire with closed questions and a sample of 340 participants from 20 courses (bachelor's and master's degrees) at public higher education institutions in the Trás-os-Montes e Alto Douro region of the Portuguese university (University of Trás-os-Montes and Alto Douro) and polytechnic (Polytechnic Institute of Bragança) subsystem aims to list a group of proposals for reflection and future implementation that can fill or mitigate gaps and weaknesses identified in the disciplines of the curricula related to internships. The analysis of the data reveals indicators indicating the need for a (formal and conceptual) rethinking of inclusive intervention in the context of supervision in the field of teacher training. These indicators include problems with operating in a multifaceted educational setting, enhancing an interdisciplinary, integrated and inclusive approach, rearranging curriculum and reconsidering the functional profiles and competencies of teaching staff. Therefore, the construction of a professional culture that favors an integrative and inclusive approach through the assumption of a broad profile of professional competence capable of training the teacher in a multidimensional educational context is crucial. We evaluate the necessity of encouraging research of this type involving additional factors, populations and samples in order to enable the extrapolation of data and findings to a national level providing significance and technological foundations for decisions made within the context of public education policy