This new edition of the popular textbook digs into the research behind different aspects of teaching in order to give students an informed understanding of what underpins high quality teaching. It explores what the evidence shows about the effectiveness of different approaches, drawing from a variety of educational schools of thought. New to this edition: enhanced discussion of what we can learn from cognitive science research new chapters on metacognition and thinking skills, teacher subject knowledge, evaluating teacher performance, and international comparisons on teaching new Further Reading and Think Point features encouraging critical engagement with key research findings. This is essential reading for all students on initial teacher education courses including undergraduate, postgraduate, School Direct, Teach First and employment-based routes into teaching, and also qualified teachers wanting to deepen their understanding of educational research.
Doing Quantitative Research in Education with SPSS, Second Edition, an accessible and authoritative introduction, is essential for education students and researchers needing to use quantitative methods for the first time. Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book's website, enabling students to practice the techniques for themselves. This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation. Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field.
Collaboration and networking have recently come to the fore as major school improvement strategies in a number of countries. A variety of initiatives, from government and other agencies, have encouraged collaboration and led to a lot of practical activity in this area. However, at present there are no texts in education that explore collaboration and networking from both a theoretical and practical perspective. In this book, we aim to provide a theoretical background to educational collaboration, drawing on research and theory in policy studies, psychology and sociology, leading ultimately to a typology of networks. This theoretical base will be tested in the discussion of a number of case studies referring to specific initiatives such as the Federations programme, multi-agency collaboration and Networked Learning Communities. Lessons for practice will be drawn and presented in terms of factors internal and external to the school. The key issue of network leadership will be addressed here as well.
This essential guide for education students and researchers explains how to use quantitative methods for analysing educational data using IBM SPSS Statistics. By using datasets from real-life educational research, it demonstrates key statistical techniques that you will need to know, explaining how each procedure can by run on IBM SPSS Statistics. Datasets discussed in the book are downloadable, allowing you to hone your skills as you read. In this third edition, explanations have been updated with figures and screenshots from SPSS version 28, alongside a range of new research examples and updated further reading. Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam.
How can we really evaluate teacher effectiveness? Systems of teacher appraisal and evaluation are being created across the world in order to monitor and assess teacher performance. But do the models used really give a fair evaluation? Based on international research, the authors argue that teacher effectiveness is too narrowly conceptualised and methods of measuring it are not attuned to the real contexts in which teachers work. They propose a model of differential teacher effectiveness which takes into account that: * teachers may be more effective with some categories of students than with others * teachers may be more effective with some teaching contexts than others * teachers may be more effective with some subjects or components than with others. Building on and developing previous research on models of teacher effectiveness and current theories, the authors open up possible new debates which will be of interest to academics and researchers working in this area throughout the world.
Lecturers, why waste time waiting for the post to arrive? Click on the above icon and receive your e-inspection copy today! This new edition updates the successful 2005 edition with the latest research on effective teaching and learning. Appropriate for primary and secondary, the authors continue to provide a broad and comprehensive overview of what is now a large body of knowledge on effective teaching. The authors maintain their user-friendly style and the structure which takes in generic teaching skills; teaching for specific goals; subject specific strategies and other classroom issues. New to this edition: - updated research evidence - a greater cultural breadth including international research - diversity in the classroom; values and beliefs - assessment for learning Points for reflection and further reading have also been included to help encourage readers to become reflective practitioners. This book is essential reading for education students, including all PGCE and BA courses, as well as teachers and educational researchers. Daniel Muijs is Professor of Education at University of Southampton. David Reynolds is Professor of Education at University of Plymouth.
Focusing on the ways in which leadership can be fostered and enhanced, this text argues that teacher leadership is an instrinsic and important part of school and classroom improvement, as well as considering the roles, responsibilities and influences of teachers who lead.
This essential guide for education students and researchers explains how to use quantitative methods for analysing educational data using IBM SPSS Statistics. By using datasets from real-life educational research, it demonstrates key statistical techniques that you will need to know, explaining how each procedure can by run on IBM SPSS Statistics. Datasets discussed in the book are downloadable, allowing you to hone your skills as you read. In this third edition, explanations have been updated with figures and screenshots from SPSS version 28, alongside a range of new research examples and updated further reading. Daniel Muijs is Dean of the Faculty of Education and Society at Academica University of Applied Sciences in Amsterdam.
Quantitative Methods in Educational and Social Research Using SPSS bridges the gap between introductory and advanced volumes on quantitative methods. Central to the text is an emphasis on the concept of modelling at the core of data analysis. The implications of the modelling approach are taken all the way back to the stages of research design and sampling, and use of simple descriptive statistics. Using this as a lens the book then moves on to explain carefully a full range of statistical techniques from basic procedures such as correlation and analysis of variance, to advanced methods such as multiple regression, path analysis and multilevel modelling. Key features of the book include: Crucial points illustrated by getting readers to work through key theoretical and analytical tasks A CD that offers step by step guidance on the use of SPSS and example analyses for each of the methods covered by the text Clear explanation of the conceptual background to all the analytical techniques included in the book A range of example datasets The aim throughout is to help you gain a fully-grounded conceptual grasp of different techniques, allowing you to apply these thoughtfully, as well as helping you progress towards a more advanced understanding through a step-by-step approach. This book is for you if you are a student or researcher in education or a related field and want an introductory resource that helps you get up to speed quickly.
This accessible and authoritative introduction is essential for education students and researchers needing to use quantitative methods for the first time. Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book′s website, enabling students to practice the techniques for themselves. This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation. Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field.
This book provides an introduction to using quantitative methods in educational research. The author writes for non-mathematical students, avoiding the use of mathematical formulae wherever possible. No prior knowledge of quantitative methods is needed to use this book. The author's approach features · a realistic approach, using actual databases · an emphasis on the use of effect sizes · a user-friendly approach, based on the latest version of SPSS throughout. The use of two real educational datasets keeps the content relevant, and shows students the imperfections and problems which they will meet in real-life research. The datasets use common international measures and access to the datasets, allowing students to practice and answer the questions that follow each chapter, is available though the book website. This book is for researchers and students studying research methods in education. It is suitable as a main textbook for quantitative methods courses, as well as a resource for researchers in this field.
The aim of this book is to bridge the gap between introductory and more advanced ‘technical’ books on quantitative methods, helping the reader to progress clearly.
How can we really evaluate teacher effectiveness? Systems of teacher appraisal and evaluation are being created across the world in order to monitor and assess teacher performance. But do the models used really give a fair evaluation? Based on international research, the authors argue that teacher effectiveness is too narrowly conceptualised and methods of measuring it are not attuned to the real contexts in which teachers work. They propose a model of differential teacher effectiveness which takes into account that: * teachers may be more effective with some categories of students than with others * teachers may be more effective with some teaching contexts than others * teachers may be more effective with some subjects or components than with others. Building on and developing previous research on models of teacher effectiveness and current theories, the authors open up possible new debates which will be of interest to academics and researchers working in this area throughout the world.
Collaboration and networking have recently come to the fore as major school improvement strategies in a number of countries. A variety of initiatives, from government and other agencies, have encouraged collaboration and led to a lot of practical activity in this area. However, at present there are no texts in education that explore collaboration and networking from both a theoretical and practical perspective. In this book, we aim to provide a theoretical background to educational collaboration, drawing on research and theory in policy studies, psychology and sociology, leading ultimately to a typology of networks. This theoretical base will be tested in the discussion of a number of case studies referring to specific initiatives such as the Federations programme, multi-agency collaboration and Networked Learning Communities. Lessons for practice will be drawn and presented in terms of factors internal and external to the school. The key issue of network leadership will be addressed here as well.
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