This groundbreaking report provides examples of best practices in value-added modelling for measuring school performance.

This review report for the Netherlands provides, from an international perspective, an independent analysis of major issues facing the Dutch evaluation and assessment framework in education, current policy initiatives and possible future approaches.

The abundance of data and the rise of new quantitative and statistical techniques have created a promising area: data analytics. This combination of a culture of data-driven decision making and techniques to include domain knowledge allows organizations to exploit big data analytics in their evaluation and decision processes. Also, in education and learning, big data analytics is being used to enhance the learning process, to evaluate efficiency, to improve feedback, and to enrich the learning experience. As every step a student takes in the online world can be traced, analyzed, and used, there are plenty of opportunities to improve the learning process of students. First, data analytics techniques can be used to enhance the student’ s learning process by providing real-time feedback, or by enriching the learning experience. Second, data analytics can be used to support the instructor or teacher. Using data analytics, the instructor can better trace, and take targeted actions to improve, the learning process of the student. Third, there are possibilities in using data analytics to measure the performance of instructors. Finally, for policy makers, it is often unclear how schools use their available resources to "produce" outcomes. By combining structured and unstructured data from various sources, data analytics might provide a solution for governments that aim to monitor the performance of schools more closely. Data analytics in education should not be the domain of a single discipline. Economists should discuss the possibilities, issues, and normative questions with a multidisciplinary team of pedagogists, philosophers, computer scientists, and sociologists. By bringing together various disciplines, a more comprehensive answer can be formulated to the challenges ahead. This book starts this discussion by highlighting some economic perspectives on the use of data analytics in education. The book begins a rich, multidisciplinary discussion that may make data analytics in education seem as natural as a teacher in front of a classroom.

This collection presents educational assessment research from Latin America, adding to a relatively small but growing body of research considering educational assessment and evaluation issues in this large region. The predominance of Chile reflects its early highly centralized education system, and the fact that it adopted national testing before other Latin American countries. It was also an early participant in international assessment programmes. Other countries have followed the trend of implementing national testing, and to a lesser extent participating in international surveys. The complementary development of technical expertise in quantitative research methods has enabled extensive analysis of the large data sets generated by these testing and assessment programmes. Taken together, the evidence reported provides a means not only of reviewing educational quality issues in Latin America, but also of facilitating comparisons that allow the context specificity of equivalent research conducted in western developed countries to be considered. The chapters in this book were originally published as a special issue of Assessment in Education: Principles, Policy and Practice.

Measuring the Value of a Postsecondary Education is an insightful collection of essays that respond to current and pressing questions in the field of higher education: What do we mean by "quality" of education? What do courses and programs promise to deliver, and do they succeed? What do we know about improving learning outcomes, and is reform possible? Comprised of papers presented at a conference of experts convened by the Higher Education Quality Council of Ontario in 2011, the book begins by evaluating pioneering initiatives in Europe, and follows this with reports on efforts to measure and evaluate learning outcomes. Drawing on over two decades of work by international agencies, governments, and foundations in identifying and evaluating learning outcomes in higher education, Measuring the Value of a Postsecondary Education encourages educational institutions to draw on this evidence in revising course and program offerings. Bringing together international leaders and innovators in the field, this book is an important analysis of progress in enhancing learning quality and directions for future reform. Contributors include Jeana Abromeit (Alverno College), Roger Benjamin (Council for Aid to Education), Ken Dryden (Canadian politician), Michael Gallagher (Group of Eight), Virginia Hatchette (Postsecondary Education Quality Assessment Board), Jillian Kinzie (Indiana University), Diane Lalancette (Organisation for Economic Co-operation and Development), Holiday Hart McKiernan (Lumina Foundation), Robert Wagenaar (University of Groningen), and Lorne A. Whitehead (University of British Columbia).

On records, the evolution of human development pays a considerable tribute to the relentless efforts made by generations of teacher educators set out to train academic leaders and teachers committed to the implementation of educational policies parallel to the mental edification of young students. Teacher educators, faced the challenges, overcame the obstacles, and refined the pedagogies of our educational system with many innovative approaches. As the world faces increasing uncertainties and adamant shifts of knowledge economy, it is apparent that education plays an ultimate role in creating adept and geared up citizens, to lead the way to the future. Designing and managing learning school organizations that can sustain a competitive advantage in this fast-changing environment demands transformative leaders primed and ready to the building or our intellectual capital for the future. Many books on teacher education, educational management and leadership have been written in the past, but most of them do not keep up with the fast-changing educational scene and only a few include future scenarios. This book presents the anticipated trends and demands of the new knowledge economy, and it aims to achieve its goals with the use of various tools, generative and collaborative efforts, increasing leadership capability in dynamic and complex contexts, enculturation of cutting edge knowledge for educational advancement and creation of teams that focus learning organizations. This book brings together prominent and leading teacher educators and researchers from around the world to present their scholarship, theories and practice, case studies, state-of-the- art approaches and upshot predictions. This book embodies collective knowledge inquiry and represents professional conversations. The chapters provides information on recent trends and development in teacher education, the important role of educational management and leadership in educational transformations and promising practices for desired outcomes. The book is a critical and specialized resource that describes how transformative leadership can play an important role in achieving excellence in education. The topics covered are: Educational Leadership and Effective Teaching, Research in Transformational Leadership, and Professional Development and Social Capital Building in Schools.

Over the years, researchers have developed statistical methods to help them investigate and interpret issues of interest in many discipline areas. These methods range from descriptive to inferential to multivariate statistics. As the psychometrics measures in education become more complex, vigorous and robust methods were needed in order to represent research data efficiently. One such method is Structural Equation Modeling (SEM). SEM is a statistical technique that allows the simultaneous analysis of a series of structural equations. It also allows a dependent variable in one equation to become an independent variable in another equation. It is a comprehensive statistical approach to testing hypotheses about relations among observed and latent variables. SEM is commonly known as causal modeling, or path analysis, which hypothesizes causal relationships among variables and tests the causal models with a linear equation system. As educational research questions become more complex, they need to be evaluated with more sophisticated tools. The pervasive use of SEM in the literature has shown that SEM has a potential to be of assistance to modern educational researchers. This book will bring together prominent educators and researchers from around the world to share their contemporary research on structural equation modeling in educational settings. The chapters provide information on recent trends and developments and effective applications of the different models to answer various educational research questions. This book is a critical and specialized source that describes recent advances in SEM in international academia.

This publication is the first report from the OECD’s Teaching and Learning International Survey (TALIS). It provides quantitative, policy-relevant information on the teaching and learning environment in schools in 23 countries.

This book provides, from an international perspective, an independent analysis of major issues facing the educational evaluation and assessment framework, current policy initiatives, and possible future approaches in Mexico.