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Quality of Teacher Education and Learning: Theory and Practice (New Frontiers of Educational Research)
by Xudong Zhu A. Lin Goodwin Huajun ZhangThis edited book is on the theory and practice of teacher education from the most distinguished and experienced scholars in the field around the world. In this book, they explored the most urgent and significant issues in teacher education in this globalized time. The dealing of these issues can directly impact the quality of teacher education and education in general. How to improve the quality of teacher education is a global issue that many countries, no matter developed or developing, face. This book provides multiple perspectives to address the challenges and possibilities for improving teacher quality. A point needs to further highlight in this book is that the researchers pay more attention to the inner landscape of teachers, such as the issue of identity, sense of person, etc. In this book, the readers can learn the insights and multiple perspectives of the best scholars in teacher education.
Quality Research in Literacy and Science Education: International Perspectives and Gold Standards
by Mack C. Shelley Larry D. Yore Brian B. HandStatistical models attempt to describe and quantify relationships between variables. In the models presented in this chapter, there is a response variable (sometimes called dependent variable) and at least one predictor variable (sometimes called independent or explanatory variable). When investigating a possible cause-and-effect type of relationship, the response variable is the putative effect and the predictors are the hypothesized causes. Typically, there is a main predictor variable of interest; other predictors in the model are called covariates. Unknown covariates or other independent variables not controlled in an experiment or analysis can affect the dependent or outcome variable and mislead the conclusions made from the inquiry (Bock, Velleman, & De Veaux, 2009). A p value (p) measures the statistical significance of the observed relationship; given the model, p is the probability that a relationship is seen by mere chance. The smaller the p value, the more confident we can be that the pattern seen in the data 2 is not random. In the type of models examined here, the R measures the prop- tion of the variation in the response variable that is explained by the predictors 2 specified in the model; if R is close to 1, then almost all the variation in the response variable has been explained. This measure is also known as the multiple correlation coefficient. Statistical studies can be grouped into two types: experimental and observational.
Quality Teaching: A Sample of Cases
by Profesor Edgar Stones Edgar StonesFirst Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.
Quality Teaching: A Sample of Cases
by Profesor Edgar Stones Edgar StonesFirst Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.
Quality Teaching and the Capability Approach: Evaluating the work and governance of women teachers in rural Sub-Saharan Africa (Routledge Research in Education)
by Alison BucklerThis book provides an analytical exploration of the condition of teachers working in expanding school systems across the world, with a particular focus on the lives of women teachers in rural Sub-Saharan Africa. Drawing from award-winning research, it looks beyond the official portrayals of teachers’ lives in order to better understand the reality of the contexts in which teachers live and work. Positioning Amartya Sen’s capability approach at the heart of the study, each chapter considers documentary evidence alongside ethnographic research from rural, remote and under-resourced schools in Ghana, Nigeria, Kenya, South Africa and Sudan. Interweaving rich narratives from teachers in a variety of contexts, the book proposes a concept of professional capability and examines female teachers’ agency to pursue and achieve this in their classrooms. This key examination challenges existing notions of ‘quality education’ and reveals insights into the broader purpose of schooling for rural communities. Quality Teaching and the Capability Approach will be of value to researchers, academics and postgraduate students in education, particularly those concerned with gender, development and teaching, as well as educationalists and policy makers concerned with education and development.
Quality Teaching and the Capability Approach: Evaluating the work and governance of women teachers in rural Sub-Saharan Africa (Routledge Research in Education)
by Alison BucklerThis book provides an analytical exploration of the condition of teachers working in expanding school systems across the world, with a particular focus on the lives of women teachers in rural Sub-Saharan Africa. Drawing from award-winning research, it looks beyond the official portrayals of teachers’ lives in order to better understand the reality of the contexts in which teachers live and work. Positioning Amartya Sen’s capability approach at the heart of the study, each chapter considers documentary evidence alongside ethnographic research from rural, remote and under-resourced schools in Ghana, Nigeria, Kenya, South Africa and Sudan. Interweaving rich narratives from teachers in a variety of contexts, the book proposes a concept of professional capability and examines female teachers’ agency to pursue and achieve this in their classrooms. This key examination challenges existing notions of ‘quality education’ and reveals insights into the broader purpose of schooling for rural communities. Quality Teaching and the Capability Approach will be of value to researchers, academics and postgraduate students in education, particularly those concerned with gender, development and teaching, as well as educationalists and policy makers concerned with education and development.
Quality Teaching in Primary Science Education: Cross-cultural Perspectives
by Mark W. Hackling Jörg Ramseger Hsiao-Lan Sharon ChenThis edited volume explores how primary school teachers create rich opportunities for science learning, higher order thinking and reasoning, and how the teaching of science in Australia, Germany and Taiwan is culturally framed. It draws from the international and cross-cultural science education study EQUALPRIME: Exploring quality primary education in different cultures: A cross-national study of teaching and learning in primary science classrooms. Video cases of Year 4 science teaching were gathered by research teams based at Edith Cowan University, Deakin University, the Freie Universität Berlin, the National Taiwan Normal University and the National Taipei University of Education. Meetings of these research teams over a five year period at which data were shared, analysed and interpreted have revealed significant new insights into the social and cultural framing of primary science teaching, the complexities of conducting cross-cultural video-based research studies, and the strategies and semiotic resources employed by teachers to engage students in reasoning and meaning making. The book’s purpose is to disseminate the new insights into quality science teaching and how it is framed in different cultures; methodological advancements in the field of video-based classroom research in cross-cultural settings; and, implications for practice, teacher education and research.“The chapters (of this book) address issues of contemporary relevance and theoretical significance: embodiment, discursive moves, the social unit of learning and instruction, inquiry, and reasoning through representations. Through all of these, the EQUALPRIME team manages to connect the multiple cultural perspectives that characterise this research study. The ‘meta-reflection’ chapters offer a different form of connection, linking cultural and theoretical perspectives on reasoning, quality teaching and video-based research methodologies. The final two chapters offer connective links to implications for practice in teacher education and in cross-cultural comparative research into teaching and learning. These multiple and extensive connections constitute one of the books most significant accomplishments.The EQUALPRIME project, as reported in this book, provides an important empirical base that must be considered by any system seeking to promote sophisticated science learning and instructional practices in primary school classrooms. By exploring the classroom realisation of aspirational science pedagogies, the EQUALPRIME project also speaks to those involved in teacher education and to teachers. I commend this book to the reader. It offers important insights, together with a model of effective, collegial, collaborative inter-cultural research. It will help us to move forward in important ways”.Professor David Clarke, Melbourne University
Quality Work in Higher Education: Organisational and Pedagogical Dimensions (Higher Education Dynamics #54)
by Mari Elken Peter Maassen Monika Nerland Tine S. Prøitz Bjørn Stensaker Agnete VabøThis book focuses on quality work in higher education, and examines the relationship between the organizational and pedagogical dimensions of quality work in higher education. Bringing together different disciplinary traditions, including educational science, sociology, and organisational studies, it addresses the following principal research question: How is quality work carried out in higher education?The book addresses a wide variety of academic, administrative and leadership practices that are involved in quality work in higher education institutions. The chapters in this book examine core issues crucial in the design and content of study programs, such as modes of teaching, learning and curricula design, as well as institutional practices regarding assessment and quality enhancement. The introductory and concluding chapter present an overarching focus on quality work as a lens to analyse intentional activities within higher education institutions directed at how study programmes and courses are designed, governed, and operated.
Quandaries of School Leadership: Voices from Principals in the Field
by Debra J. Touchton, Mariela A. Rodríguez, Gary Ivory and Michele Acker-HocevarThis book provides insights into the everyday practices of school leaders as told through the real-life stories of principals. The editors and their contributors blend practice with theory, helping aspiring leaders to discover that school leadership is not simply putting prescribed solutions into action, but a constant encounter with quandaries that demand thinking, responding, and adjusting to the situations at hand. Readers build their capacities to view quandaries from multiple lenses, consider a variety of responses, and draw conclusions based on perspectives that may vary from those initially identified. The chapter authors encourage a sharper self-awareness of what scholars value and envision about education, encouraging them to think about how to navigate decision-making through a variety of theoretical frameworks and practices while balancing their own leadership platform development.
Quantenmechanik (nicht nur) für Lehramtsstudierende
by Thomas FilkDieses Lehrbuch zur Quantentheorie ist speziell für Lehramtsstudierende konzipiert und auf die Bedürfnisse zukünftiger Lehrer und Lehrerinnen zugeschnitten. Die konzeptuellen Grundlagen, aber auch die Darstellung des mathematischen Formalismus der Quantenphysik stehen dabei im Vordergrund, gleichzeitig wird weniger Wert auf eine detaillierte Beschreibung der mathematischen Techniken zur Lösung spezifischer Probleme gelegt.Im ersten, einführenden Teil des Buches werden mögliche Zugänge zur Quantenmechanik beschrieben. Diese bieten dem Leser nicht nur zu Beginn verschiedene Perspektiven, aus denen man die Quantentheorie betrachten kann, sondern können auch mit den notwendigen didaktischen Änderungen in der Schule verwendet werden. Teil II umfasst den eigentlichen Lehrstoff, wie er in Vorlesungen an der Hochschule vermittelt wird: Vom mathematischen Rüstzeug über die Postulate bis hin zur Anwendung auf einfache Systeme, darunter das Kastenpotential, den harmonischen Oszillator und das Wasserstoffatom. Das Grundwissen der Quantenmechanik wird hier nachvollziehbar und verständlich erklärt. Der dritte und abschließende Teil bietet eine Sammlung von weiterführenden, voneinander unabhängigen Themen mit ausführlicheren Hintergründen zu den Grundlagen und Anwendungen. Kapitel zu offenen Fragen, Problemen und Interpretationen der Quantentheorie, Quantenlogik aber auch tiefer gehende Betrachtungen der mathematischen Zusammenhänge ermöglichen so ein erweitertes Verständnis.Mit Hilfe von Übungsaufgaben können Studierende das Gelernte überprüfen und in der Anwendung festigen. Die Lösungen zu den Aufgaben sowie weitere Aufgaben werden online bereitgestellt.
Quantenmechanik zu Fuß 1: Grundlagen (Springer-Lehrbuch)
by Jochen PadeDas Lehrbuch bietet eine Einführung in die Grundlagen der nicht-relativistischen Quantenmechanik. Der Autor stellt Standardthemen kombiniert mit neuen Entwicklungen dar und schafft so einen neuen Zugang zum Thema. Die Hilfsmittel für die mathematische Formulierung der wesentlichen Prinzipien der Quantenmechanik erläutert er schrittweise. Weiterführende Themen wie z. B. der Quanten-Zeno-Effekt werden im Anhang behandelt. Der Band enthält 250 Aufgaben und ist insbesondere für Studierende geeignet, die nicht den Schwerpunkt Theorie gewählt haben.
Quantenmechanik zu Fuß 2: Anwendungen und Erweiterungen (Springer-Lehrbuch)
by Jochen PadeDas zweibändige Lehrbuch bietet eine Einführung in die Grundlagen der nicht-relativistischen Quantenmechanik. Der Autor stellt Standardthemen kombiniert mit neuen Entwicklungen dar und schafft so einen neuen Zugang zum Thema. Während in Teil 1 die wesentlichen Prinzipien erarbeitet werden, finden sich in Teil 2 die Anwendungen und Erweiterungen des Formalismus. Im Anhang ist das wichtigste mathematische Rüstzeug kompakt gesammelt, so dass auf ergänzende Literatur weitgehend verzichtet werden kann.
The Quantified School: Pedagogy, Subjectivity, and Metrics
by Diego SantoriThis book develops a theoretically rich analysis of quantification and subjectivity, tracing new linkages between educational policy and everyday life in schools, diving deeper into ‘ordinary’ schools as they encounter and navigate quantified forms of recognition. With a focus on Chile as a critical case of neoliberal experimentation, this book investigates whether intense exposure to quantified forms of meaning and sense-making in school settings could develop into metrics-driven dispositions or attachments. Contemporary demands on schools for calculation, prediction, and comparison by the use of accountability tools like high-stakes testing, league tables, consequential inspection ratings and ‘progress’ measures evidence the relentless presence of quantification in teaching and learning. This book argues the importance of bridging political, sociological and anthropological literatures together with affect and subjectivity theories to understand the complex ways in which standardisation, optimisation, automation, and surveillance crystallise into quantification-based forms of intelligibility.
Quantitative Analysis of Questionnaires: Techniques to Explore Structures and Relationships
by Steve HumbleBringing together the techniques required to understand, interpret and quantify the processes involved when exploring structures and relationships in questionnaire data, Quantitative Analysis of Questionnaires provides the knowledge and capability for a greater understanding of choice decisions. The ideal companion for non-mathematical students with no prior knowledge of quantitative methods, it highlights how to uncover and explore what lies within data that cannot be achieved through descriptive statistics. This book introduces significance testing, contingency tables, correlations, factor analysis (exploratory and confirmatory), regression (linear and logistic), discrete choice theory and item response theory. Using simple and clear methodology, and rich examples from a range of settings, this book: provides hands-on analysis with data sets from both SPSS and Stata packages; explores how to articulate the calculations and theory around statistical techniques; offers workable examples in each chapter with concepts, applications and proofs to help produce a higher quality of research outputs; discusses the use of formulas in the appendix for those who wish to explore a greater mathematical understanding of the concepts. Quantitative Analysis of Questionnaires is the ideal introductory textbook for any student looking to begin and or improve statistical learning as well as interpretation.
Quantitative Analysis of Questionnaires: Techniques to Explore Structures and Relationships
by Steve HumbleBringing together the techniques required to understand, interpret and quantify the processes involved when exploring structures and relationships in questionnaire data, Quantitative Analysis of Questionnaires provides the knowledge and capability for a greater understanding of choice decisions. The ideal companion for non-mathematical students with no prior knowledge of quantitative methods, it highlights how to uncover and explore what lies within data that cannot be achieved through descriptive statistics. This book introduces significance testing, contingency tables, correlations, factor analysis (exploratory and confirmatory), regression (linear and logistic), discrete choice theory and item response theory. Using simple and clear methodology, and rich examples from a range of settings, this book: provides hands-on analysis with data sets from both SPSS and Stata packages; explores how to articulate the calculations and theory around statistical techniques; offers workable examples in each chapter with concepts, applications and proofs to help produce a higher quality of research outputs; discusses the use of formulas in the appendix for those who wish to explore a greater mathematical understanding of the concepts. Quantitative Analysis of Questionnaires is the ideal introductory textbook for any student looking to begin and or improve statistical learning as well as interpretation.
Quantitative and Statistical Data in Education: From Data Collection to Data Processing
by Michel Larini Angela BarthesThis book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of each approach and the reasons behind them are methodically analyzed, and both simple and advanced examples are given to demonstrate how to use them. Subsequently, this book can be used both as a course for the uninitiated and as an accompaniment for researchers who are already familiar with these concepts.
Quantitative and Statistical Data in Education: From Data Collection to Data Processing
by Michel Larini Angela BarthesThis book presents different data collection and representation techniques: elementary descriptive statistics, confirmatory statistics, multivariate approaches and statistical modeling. It exposes the possibility of giving more robustness to the classical methodologies of education sciences by adding a quantitative approach. The fundamentals of each approach and the reasons behind them are methodically analyzed, and both simple and advanced examples are given to demonstrate how to use them. Subsequently, this book can be used both as a course for the uninitiated and as an accompaniment for researchers who are already familiar with these concepts.
Quantitative Corpus Linguistics with R: A Practical Introduction
by Stefan Th. GriesThe first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve – searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.
Quantitative Corpus Linguistics with R: A Practical Introduction
by Stefan Th. GriesThe first textbook of its kind, Quantitative Corpus Linguistics with R demonstrates how to use the open source programming language R for corpus linguistic analyses. Computational and corpus linguists doing corpus work will find that R provides an enormous range of functions that currently require several programs to achieve – searching and processing corpora, arranging and outputting the results of corpus searches, statistical evaluation, and graphing.
Quantitative Corpus Linguistics with R: A Practical Introduction
by Stefan Th. GriesAs in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on: data processing and manipulation in general; text processing with and without regular expressions of large bodies of textual and/or literary data, and; basic aspects of statistical analysis and visualization. This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses.
Quantitative Corpus Linguistics with R: A Practical Introduction
by Stefan Th. GriesAs in its first edition, the new edition of Quantitative Corpus Linguistics with R demonstrates how to process corpus-linguistic data with the open-source programming language and environment R. Geared in general towards linguists working with observational data, and particularly corpus linguists, it introduces R programming with emphasis on: data processing and manipulation in general; text processing with and without regular expressions of large bodies of textual and/or literary data, and; basic aspects of statistical analysis and visualization. This book is extremely hands-on and leads the reader through dozens of small applications as well as larger case studies. Along with an array of exercise boxes and separate answer keys, the text features a didactic sequential approach in case studies by way of subsections that zoom in to every programming problem. The companion website to the book contains all relevant R code (amounting to approximately 7,000 lines of heavily commented code), most of the data sets as well as pointers to others, and a dedicated Google newsgroup. This new edition is ideal for both researchers in corpus linguistics and instructors who want to promote hands-on approaches to data in corpus linguistics courses.
Quantitative Data Analysis: Doing Social Research to Test Ideas (Research Methods for the Social Sciences)
by Donald J. TreimanThis book is an accessible introduction to quantitative data analysis, concentrating on the key issues facing those new to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter includes illustrative examples and a set of exercises that allows readers to test their understanding of the topic. The book, written for graduate students in the social sciences, public health, and education, offers a practical approach to making sociological sense out of a body of quantitative data. The book also will be useful to more experienced researchers who need a readily accessible handbook on quantitative methods. The author has posted stata files, updates and data sets at his website http://tinyurl.com/Treiman-stata-files-data-sets.
Quantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques (Routledge Research in Language Education)
by Vahid Aryadoust Michelle RaquelQuantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques is a resource book that presents the most fundamental techniques of quantitative data analysis in the field of language assessment. Each chapter provides an accessible explanation of the selected technique, a review of language assessment studies that have used the technique, and finally, an example of an authentic study that uses the technique. Readers also get a taste of how to apply each technique through the help of supplementary online resources that include sample data sets and guided instructions. Language assessment students, test designers, and researchers should find this a unique reference as it consolidates theory and application of quantitative data analysis in language assessment.
Quantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques (Routledge Research in Language Education)
by Vahid Aryadoust Michelle RaquelQuantitative Data Analysis for Language Assessment Volume I: Fundamental Techniques is a resource book that presents the most fundamental techniques of quantitative data analysis in the field of language assessment. Each chapter provides an accessible explanation of the selected technique, a review of language assessment studies that have used the technique, and finally, an example of an authentic study that uses the technique. Readers also get a taste of how to apply each technique through the help of supplementary online resources that include sample data sets and guided instructions. Language assessment students, test designers, and researchers should find this a unique reference as it consolidates theory and application of quantitative data analysis in language assessment.
Quantitative Data Analysis for Language Assessment Volume II: Advanced Methods
by Vahid Aryadoust Michelle RaquelQuantitative Data Analysis for Language Assessment Volume II: Advanced Methods demonstrates advanced quantitative techniques for language assessment. The volume takes an interdisciplinary approach and taps into expertise from language assessment, data mining, and psychometrics. The techniques covered include Structural Equation Modeling, Data Mining, Multidimensional Psychometrics and Multilevel Data Analysis.Volume II is distinct among available books in language assessment, as it engages the readers in both theory and application of the methods and introduces relevant techniques for theory construction and validation. This book is highly recommended to graduate students and researchers who are searching for innovative and rigorous approaches and methods to achieve excellence in their dissertations and research. It is also a valuable source for academics who teach quantitative approaches in language assessment and data analysis courses.