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293,549 result(s) for "QUALITY OF EDUCATION"
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Cognitive capitalism : human capital and the wellbeing of nations
Nations can vary greatly in their wealth, democratic rights and the wellbeing of their citizens. These gaps are often obvious, and by studying the flow of immigration one can easily predict people's wants and needs. But why are there also large differences in the level of education indicating disparities in cognitive ability? How are they related to a country's economic, political and cultural development? Researchers in the paradigms of economics, psychology, sociology, evolution and cultural studies have tried to find answers for these hotly debated issues. In this book, Heiner Rindermann establishes a new model: the emergence of a burgher-civic world, supported by long-term background factors, furthered education and thinking. The burgher-civic world initiated a reciprocal development changing society and culture, resulting in past and present cognitive capital and wealth differences. This is an important text for graduate students and researchers in a wide range of fields, including economics, psychology, sociology and political science, and those working on economic growth, human capital formation and cognitive development.
SDG 4 in higher education: challenges and opportunities
Purpose The purpose of this case study is to focus on the role of higher education in the realisation of Sustainable Development Goal (SDG) 4, discussing both challenges and opportunities. Drawing on the example of The University of the West Indies (UWI) School of Education (SOE) (Mona Campus in Jamaica), this paper illustrates how higher education can move SDG 4 forward in a realistic and significant way. Design/methodology/approach Drawing on the literature and case study experiences implementing education for sustainable development-related activities within a SOE, opportunities and challenges regarding SDG 4 and higher education institutions (HEIs) are identified and outlined. The SOE at the UWI campus is used as an illustrative case study to highlight the ways in which HEIs can drive SDG 4 through teaching, programme and course development, research and outreach activities. Findings Based on the literature examined, along with the case study, the paper argues that HEIs must help to shape and lead the SDG 4 agenda by being integrally involved and no longer watching from the side lines. A framework to aid HEIs in achieving outcomes associated with SDG 4 is then proffered. The intent is that this will not only help shape discourse but also shape actions, as the demand for higher education increases across the globe. Originality/value This paper uses a Caribbean regional HEI as the basis for the framework proposed to aid HEIs in achieving SDG 4 outcomes. This brings to the fore discourse from the global south, as space that is often missing from the discussion.
Precarity, critical pedagogy and physical education
\"This unflinching analysis explains the nature of precarity and its detrimental effects on the health and wellbeing of young people. It exposes physical educators' unpreparedness to provide inclusive, fair and equitable forms of physical education that might empower young people to overcome the mal effects of precarity. Following a thorough analysis and critique of critical pedagogy, David Kirk advocates for critical pedagogies of affect as physical education's response to precarity, providing detailed outlines of these pedagogies and their grounding in research. He argues that now more than ever physical educators need to be alive to the serious social and economic challenges that shape young people's health, happiness and life chances. This bold and provocative book is essential reading for all researchers in the field of physical education and health education pedagogy, as well as teacher educators, curriculum policy makers, and other professionals who work with young people living in precarity\"-- Provided by publisher.
Sustainable Development Goal for Quality Education (SDG 4): A study on SDG 4 to extract the pattern of association among the indicators of SDG 4 employing a genetic algorithm
Sustainable Development Goals (SDG) are at the forefront of government initiatives across the world. The SDGs are primarily concerned with promoting sustainable growth via ensuring wellbeing, economic growth, environmental legislation, and academic advancement. One of the most prominent goals of the SDG is to provide learners with high-quality education (SDG 4). This paper aims to look at the perspectives of the Sustainable Development Goals improvised to provide quality education. We also analyze the existing state of multiple initiatives implemented by the Indian government in the pathway to achieving objectives of quality education (SDG 4). Additionally, a case study is considered for understanding the association among the observed indicators of SDG4. For this purpose, exploratory data analysis, and numerical association rule mining in combination with QuantMiner genetic algorithm approaches have been applied. The outcomes reveal the presence of a significant degree of association among these parameters pointing out the fact that understanding the impact of one (or more) indicator on other related indicators is critical for achieving SDG 4 goals (or factors). These findings will assist governing bodies in taking preventive measures while modifying existing policies and ensuring the effective enactment of SDG 4 goals, which also will subsequently aid in the resolution of issues related to other SDGs.
The role and impact of public-private partnerships in education
Enhancing the role of private sector partners in education can lead to significant improvements in education service delivery. However, the realization of such benefits depends in great part on the design of the partnership between the public and private sectors, on the overall regulatory framework of the country, and on the governmental capacity to oversee and enforce its contracts with the private sector. Under the right terms, private sector participation in education can increase efficiency, choice, and access to education services, particularly for students who tend to fail in traditional education settings. Private-for-profit schools across the world are already serving a vast range of usersâ€\"from elite families to children in poor communities. Through balanced public-private partnerships (PPPs) in education, governments can leverage the specialized skills offered by private organizations as well as overcome operating restrictions such as salary scales and work rules that limit public sector responses. 'The Role and Impact of Public-Private Partnerships in Education' presents a conceptualization of the issues related to PPPs in education, a detailed review of rigorous evaluations, and guidleines on how to create successful PPPs. The book shows how this approach can facilitate service delivery, lead to additional financing, expand equitable access, and improve learning outcomes. The book also discusses the best way to set up these arrangements in practice. This information will be of particular interest to policymakers, teachers, researchers, and development practitioners.
Unveiling the landscape of generative artificial intelligence in education: a comprehensive taxonomy of applications, challenges, and future prospects
The rapid advancement of Generative Artificial Intelligence (GenAI) models, particularly ChatGPT, has sparked widespread discussion among educators and researchers regarding their potential implications for education. This study presents a comprehensive taxonomy of GenAI in academia and education, encompassing a wide range of applications, challenges, ethical considerations, and future prospects. Drawing on a scoping review of 453 articles, including the 50 most cited works throughout 2023, the taxonomy provides a state-of-the-art analysis of the current landscape of GenAI in education. The taxonomy offers a theoretical framework that aligns with the current discourse in GenAI and education, providing a critical evaluation of the existing literature and proposing innovative perspectives and solutions. The practical implications of the taxonomy for educators, researchers, and policymakers are highlighted, emphasizing the need for ethical considerations and informed policies to maximize the benefits of GenAI while minimizing its risks and negative impacts.
The Transformative Power of Generative Artificial Intelligence for Achieving the Sustainable Development Goal of Quality Education
This study explored the transformative potential of generative artificial intelligence (GAI) for achieving the UN Sustainable Development Goal on Quality Education (SDG4), emphasizing its interconnectedness with the other SDGs. A proprietary algorithm and cocitation network analysis were used to identify and analyze the network of SDG features in GAI research publications (n = 1501). By examining GAI’s implications for ten SDG4 targets, the findings advocate for a collaborative, ethical approach to integrating GAI, emphasizing policy and practice developments that ensure that technological advancements align with the overarching goals of SDG4. The results highlight the multifaceted impact of GAI on the SDGs. First, this paper outlines a framework that leverages GAI to enhance educational equity, quality, and lifelong learning opportunities. By highlighting the synergy between GAI and the SDGs, such as reducing inequalities (SDG10) and promoting gender equality (SDG5), this study underscores the need for an integrated approach to utilizing GAI. Moreover, it advocates for personalized learning, equitable technology access, adherence to ethical AI principles, and fostering global citizenship, proposing a strategic alignment of GAI applications with the broader SDG agenda. Next, the results highlight that GAI introduces significant challenges, including ethical concerns, data privacy, and the risk of exacerbating the digital divide. Overall, our findings underscore the critical role of policy reforms and innovative practices in navigating the challenges and harnessing the opportunities presented by GAI in education, thereby contributing to a comprehensive discourse on technology’s role in advancing global education and sustainable development.
Measuring teaching quality in higher education: assessing selection bias in course evaluations
Student evaluations of teaching (SETs) are widely used to measure teaching quality in higher education and compare it across different courses, teachers, departments and institutions. Indeed, SETs are of increasing importance for teacher promotion decisions, student course selection, as well as for auditing practices demonstrating institutional performance. However, survey response is typically low, rendering these uses unwarranted if students who respond to the evaluation are not randomly selected along observed and unobserved dimensions. This paper is the first to fully quantify this problem by analyzing the direction and size of selection bias resulting from both observed and unobserved characteristics for over 3000 courses taught in a large European university. We find that course evaluations are upward biased, and that correcting for selection bias has non-negligible effects on the average evaluation score and on the evaluation-based ranking of courses. Moreover, this bias mostly derives from selection on unobserved characteristics, implying that correcting evaluation scores for observed factors such as student grades does not solve the problem. However, we find that adjusting for selection only has small impacts on the measured effects of observables on SETs, validating a large related literature which considers the observable determinants of evaluation scores without correcting for selection bias.
Institutional Quality and Education Quality in Developing Countries: Effects and Transmission Channels
The main objective of this study is to analyze the effect of institutional quality on education quality in developing countries. The literature review explores the channels through which institutional quality transits to affect education quality. The empirical analyses cover a sample of 82 developing countries. The main results obtained using ordinary least squares and two-stage least squares estimators show that institutional quality has a positive effect on student achievement and school completion, and a negative effect on educational failure. Concerning the role of transmission channels, the results show that a deterioration in institutional quality, characterized in particular by the presence of corruption, political instability, or the deterioration of government effectiveness, reduces the effectiveness of public spending on education and the quality of teaching through unethical behavior of teachers and the recruitment of untrained or less trained persons to carry out teaching tasks.