This open access book presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA’s Trends in International Mathematics and Science Study (TIMSS) data. Statistical cluster analysis is used to identify groups of students with similar motivational profiles, across grades and over time, for multiple participating countries. While motivational variables systematically relate to school outcomes, linear relationships can obscure the diverse makeup of student subgroups, each with varying combinations of motivation, emotions, and attitudes. In this book, a person-centered analysis of distinct and meaningful motivational profiles and their differences on sociodemographic variables and mathematics performance broadens understanding about the role that motivation characteristics play in learning and achievement in mathematics. Exploiting the richness of IEA’s TIMSS data from many countries, extracted clusters reveal consistent, as well as certain nuanced patterns that are systematically linked to sociodemographic and achievement measures. Student clusters with inconsistent motivational profiles were found in all countries; mathematics self-confidence then emerged as the variable more closely associated with average achievement. The findings demonstrate that teachers, researchers, and policymakers need to take into account differential student profiles, prioritizing techniques that target skill and competence in mathematics, in educational efforts to develop student motivation.

This open access book presents a person-centered exploration of student profiles, using variables related to motivation to do school mathematics derived from the IEA’s Trends in International Mathematics and Science Study (TIMSS) data. Statistical cluster analysis is used to identify groups of students with similar motivational profiles, across grades and over time, for multiple participating countries. While motivational variables systematically relate to school outcomes, linear relationships can obscure the diverse makeup of student subgroups, each with varying combinations of motivation, emotions, and attitudes. In this book, a person-centered analysis of distinct and meaningful motivational profiles and their differences on sociodemographic variables and mathematics performance broadens understanding about the role that motivation characteristics play in learning and achievement in mathematics. Exploiting the richness of IEA’s TIMSS data from many countries, extracted clusters reveal consistent, as well as certain nuanced patterns that are systematically linked to sociodemographic and achievement measures. Student clusters with inconsistent motivational profiles were found in all countries; mathematics self-confidence then emerged as the variable more closely associated with average achievement. The findings demonstrate that teachers, researchers, and policymakers need to take into account differential student profiles, prioritizing techniques that target skill and competence in mathematics, in educational efforts to develop student motivation.

This handbook is the first of its kind to provide a general and comprehensive overview of virtually every aspect of International Large Scale Assessment (ILSA). It includes historical, economic, and policy perspectives, theoretical foundations, methodology, and reviews of findings from analyses of ILSA data. After decades, during which ILSAs have generated knowledge within central areas of education research and gained increased and substantial impact on educational policy, practice and research, such a broad overview for a wide-ranging audience is much needed. With contributions from authors and editors from all continents, this handbook appeals to an international audience and keeps a neutral perspective, not favoring one ILSA over another. The handbook is suitable to be read by politicians, researchers and stakeholders who are seeking an overview of ILSAs, their history and development, and both potential benefits and limitations with regard to policy implications. The reviews of findings from studies analyzing ILSA data will be of interest to stakeholders, teachers, researchers, and policymakers. Considering that the reviews extend to all fields pertaining to educational research, the book will be valuable to all researchers interested in education. Students may use the book to learn about ILSAs in the context of policy, theoretical underpinnings, or research. Moreover, the methodology section is written in a manner that is understandable and accessible for students, stakeholders, or researchers not familiar with these data. This methodology part, however, is also a valuable resource for researchers who are familiar with ILSA data, as it provides overviews of the design and sampling procedures of several ILSAs, and includes advice on methods of analysis.Even the owners of the ILSAs may find the book valuable, as it contains overviews and insights into a number of ILSAs, provides information how the data is used by the research community, and includes recommendations for future instruments.

Throughout the world, the challenges facing modern education are formidable. Although some of the challenges facing are unique to each educational jurisdiction, there are also some important commonalities that transcend jurisdictions. Irrespective of the nature of these challenges, there is an increasing focus on teacher quality – what it is and how to enhance it. To date, research tells us what expert teachers should be doing in their classrooms. This approach is based on the idea that teaching expertise is nothing more than the accumulation of specific skills and knowledge, and as teachers acquire these skills and knowledge most of our educational challenges can be overcome. This book questions this idea by asking 37 teachers who are already recognised as experts to share their classroom secrets. Importantly, the teachers come from diverse cultural contexts, including Australia, Finland, Hong Kong and the US, and they share: how they became expert teachers; their expectations for every student when they enter their classroom; how they view and encourage teacher–parent partnerships; and what skills and knowledge they consider important for expert teaching. To our knowledge, this is the first book that compares and contrasts the approaches taken by expert teachers from four very different cultural groups. The book helps to demystify the work of the modern teacher – what they do and the challenges they face. If you aspire to be an expert teacher, this book provides a clear model of how to approach the process. If you are an education researcher searching for ‘impact’, this book outlines what are some of the emerging hot topics in education research. If you are involved in teacher education then this book offers some new approaches to initial teacher education. If your focus is on educational policy, this book helps make sense of the links between the classrooms of expert teachers, education research and academic achievement. Finally, this book will help parents understand how best to partner with their child’s teacher in order to enhance their learning.

This book introduces the Control/Connect continuum as a model designed to foster inclusive practices for the contemporary classroom.

This open access book, inspired by the ICME 13 topic study group “Affect, beliefs and identity in mathematics education”, presents the latest trends in research in the area. Following an introduction and a survey chapter providing a concise overview of the state-of-art in the field of mathematics-related affect, the book is divided into three main sections: motivation and values, engagement, and identity in mathematics education. Each section comprises several independent chapters based on original research, as well as a reflective commentary by an expert in the area. Collectively, the chapters present a rich methodological spectrum, from narrative analysis to structural equation modelling. In the final chapter, the editors look ahead to future directions in the area of mathematics-education-related affect. It is a timely resource for all those interested in the interaction between affect and mathematics education.

This edited volume brings together leading scholars from the fields of educational leadership and policy studies to discuss qualitative, quantitative, and mixed research methods in an accessible and pedagogically well-designed volume. Authors discuss ways in which various research methodologies and methods can productively be brought together to expand our current understanding of leadership issues and the contemporary policy context that surrounds them. Chapters provide both practical recommendations for using the methods discussed as well as suggestions for further reading.

Written by leading researchers in educational and social psychology, learning science, and neuroscience, this edited volume is suitable for a wide-academic readership. It gives definitions of key terms related to motivation and learning alongside developed explanations of significant findings in the field. It also presents cohesive descriptions concerning how motivation relates to learning, and produces a novel and insightful combination of issues and findings from studies of motivation and/or learning across the authors' collective range of scientific fields. The authors provide a variety of perspectives on motivational constructs and their measurement, which can be used by multiple and distinct scientific communities, both basic and applied.