Ellen B. Mandinach – författare

This book addresses the issue of data use in educator preparation programs towards continuous programmatic improvement. With an aim to increase the rigor in both research and practice in educational administration and teacher education, this volume will analyze the longstanding quality concerns about teacher and leadership preparation and standards for programs and educators, as well as controversies concerning national accreditation and federal efforts to mandate program reporting data. By exploring the policies and practices that influence departments of education, this volume examines the increasing pressures to improve institutional functioning, within a complex system of university, state, and national structures and organizations.

This book reports an attempt to introduce change in schools using a computer-based curriculum innovation for teaching higher-order thinking skills to middle and high school students. One of the volume's themes is the extraordinary complexity and difficulty of facilitating such change in schools. A corollary of that theme is the fact that patience must be an integral part of the strategy when promoting or studying change in schools. In reporting the activities during the early years of a technological innovation and research project in which the emphasis thus far has been primarily on establishing the change, this book focuses on describing the move to a technology-based learning environment. As such, it details an ongoing process -- a fascinating process -- and one that is likely to be repeated in the near future in countless schools throughout the nation.

The unique perspective of Richard E. Snow, in recent years one of the most distinguished educational psychologists, integrates psychology of individual differences, cognitive psychology, and motivational psychology. This capstone book pulls together the findings of his own 35 years of research on aptitudes and those from (especially) European scholars, of which he had exceptional knowledge. A panel of experts and former associates completed this book after his death in 1997, expanding his notes on implications of the theory for instructional design and teaching practice. The panel developed Snow's ideas on where the field should go next, emphasizing promising research strategies.Viewing intelligence as education's most important product, as well as its most important raw material, Snow stressed the need to consider both cognitive skills and affective-motivational characteristics. In this book, previously unconnected research and scattered theoretical ideas are integrated into a dynamic model of aptitude. Understanding the transaction between person and situation was Snow's primary concern. This volume draws from diverse resources to construct a theoretical model of aptitude as a complex process of unfolding person-situation dynamics. Remaking the Concept of Aptitude: Extending the Legacy of Richard E. Snow:*presents historical and contemporary discussion of aptitude theory, illuminating recent ideas by pointing to their historic antecedents;*provides evidence of how sound research can have practical ramifications in classroom settings;*discusses the strengths and weaknesses of prominent research programs, including Gardner's "multiple intelligence," meta-analysis, ATI experiments, and information processing;*describes in detail specific research that has developed important concepts--for example, Czikszentmihalyi on "flow"; Lambrechts on success in stressful training; Sternberg on componential analysis; and Gibson on tailoring affordances to match motivations; and*keeps statistical complexities to a minimum, and includes a simply written Appendix that explains the interpretation of key technical concepts.By characterizing sound research in the field, this volume is useful for psychologists and educational researchers. It will also be instructive for teachers seeking to deepen their knowledge of the whole child and for parents of children facing standardized testing.

Data literacy has become an essential skill set for teachers as education becomes more of an evidence-based profession. Teachers in all stages of professional growth need to learn how to use data effectively and responsibly to inform their teaching practices. This groundbreaking resource describes data literacy for teaching, emphasizing the important relationship between data knowledge and skills and disciplinary and pedagogical content knowledge. Case studies of emerging programs in schools of education are used to illustrate the key components needed to integrate data-driven decisionmaking into the teaching curricula. The book offers a clear path for change while also addressing the inherent complexities associated with change. Data Literacy for Educators provides concrete strategies for schools of education, professional developers, and school districts.

Data literacy has become an essential skill set for teachers as education becomes more of an evidence-based profession. Teachers in all stages of professional growth need to learn how to use data effectively and responsibly to inform their teaching practices. This groundbreaking resource describes data literacy for teaching, emphasizing the important relationship between data knowledge and skills and disciplinary and pedagogical content knowledge. Case studies of emerging programs in schools of education are used to illustrate the key components needed to integrate data-driven decisionmaking into the teaching curricula. The book offers a clear path for change while also addressing the inherent complexities associated with change. Data Literacy for Educators provides concrete strategies for schools of education, professional developers, and school districts.

This volume brings together experts on various aspects of education to address many of the emerging issues and problems that affect how data are being used or misused in educational contexts. Readers will learn about the importance of using data effectively, responsibly, and ethically to fully understand how cognitive fallacies occur and how they impact decisionmaking. They will understand how codes of ethics deal with the use of data within education as well as in other disciplines. Chapters provide a landscape view of the regulations that pertain to data use and policies that have emerged, including the impact of accountability on data use and data ethics. The text covers data ethics in local education agencies, professional development, educator preparation, testing programs, and educational technology. Chapter authors recommend steps to improve awareness among educators, stakeholders, and other interested groups and suggest actions that can be taken to enhance educators' capacity to use data responsibly. A final use case chapter describes the importance of data ethics in terms of equity in schools and includes salient examples of ethical dilemmas, with questions and reflections on how ethics and equity apply to each situation. The conclusion addresses data ethics in terms of professionalism and poses several recommendations to challenge educators in ways to raise awareness of and integrate data ethics into educational practice.Book Features:Discusses how accountability affects effective data, including the pressure on schools and districts to perform better on test scores or other indicators.Outlines ten recommendations for how professional development can incorporate data ethics in practice.Reviews the expectations and realities of preparing educators for data literacy, including an example of one teacher education program's integrated, curriculum-wide approach. Considers the role of testing companies in ethical data use, including issues around equity in assessment data.Explores how educational technologies, platforms, and applications impact data use.

This volume brings together experts on various aspects of education to address many of the emerging issues and problems that affect how data are being used or misused in educational contexts. Readers will learn about the importance of using data effectively, responsibly, and ethically to fully understand how cognitive fallacies occur and how they impact decisionmaking. They will understand how codes of ethics deal with the use of data within education as well as in other disciplines. Chapters provide a landscape view of the regulations that pertain to data use and policies that have emerged, including the impact of accountability on data use and data ethics. The text covers data ethics in local education agencies, professional development, educator preparation, testing programs, and educational technology. Chapter authors recommend steps to improve awareness among educators, stakeholders, and other interested groups and suggest actions that can be taken to enhance educators' capacity to use data responsibly. A final use case chapter describes the importance of data ethics in terms of equity in schools and includes salient examples of ethical dilemmas, with questions and reflections on how ethics and equity apply to each situation. The conclusion addresses data ethics in terms of professionalism and poses several recommendations to challenge educators in ways to raise awareness of and integrate data ethics into educational practice.Book Features:Discusses how accountability affects effective data, including the pressure on schools and districts to perform better on test scores or other indicators.Outlines ten recommendations for how professional development can incorporate data ethics in practice.Reviews the expectations and realities of preparing educators for data literacy, including an example of one teacher education program's integrated, curriculum-wide approach. Considers the role of testing companies in ethical data use, including issues around equity in assessment data.Explores how educational technologies, platforms, and applications impact data use.

This book addresses the issue of data use in educator preparation programs towards continuous programmatic improvement. With an aim to increase the rigor in both research and practice in educational administration and teacher education, this volume will analyze the longstanding quality concerns about teacher and leadership preparation and standards for programs and educators, as well as controversies concerning national accreditation and federal efforts to mandate program reporting data. By exploring the policies and practices that influence departments of education, this volume examines the increasing pressures to improve institutional functioning, within a complex system of university, state, and national structures and organizations.

The unique perspective of Richard E. Snow, in recent years one of the most distinguished educational psychologists, integrates psychology of individual differences, cognitive psychology, and motivational psychology. This capstone book pulls together the findings of his own 35 years of research on aptitudes and those from (especially) European scholars, of which he had exceptional knowledge. A panel of experts and former associates completed this book after his death in 1997, expanding his notes on implications of the theory for instructional design and teaching practice. The panel developed Snow's ideas on where the field should go next, emphasizing promising research strategies.Viewing intelligence as education's most important product, as well as its most important raw material, Snow stressed the need to consider both cognitive skills and affective-motivational characteristics. In this book, previously unconnected research and scattered theoretical ideas are integrated into a dynamic model of aptitude. Understanding the transaction between person and situation was Snow's primary concern. This volume draws from diverse resources to construct a theoretical model of aptitude as a complex process of unfolding person-situation dynamics. Remaking the Concept of Aptitude: Extending the Legacy of Richard E. Snow:*presents historical and contemporary discussion of aptitude theory, illuminating recent ideas by pointing to their historic antecedents;*provides evidence of how sound research can have practical ramifications in classroom settings;*discusses the strengths and weaknesses of prominent research programs, including Gardner's "multiple intelligence," meta-analysis, ATI experiments, and information processing;*describes in detail specific research that has developed important concepts--for example, Czikszentmihalyi on "flow"; Lambrechts on success in stressful training; Sternberg on componential analysis; and Gibson on tailoring affordances to match motivations; and*keeps statistical complexities to a minimum, and includes a simply written Appendix that explains the interpretation of key technical concepts.By characterizing sound research in the field, this volume is useful for psychologists and educational researchers. It will also be instructive for teachers seeking to deepen their knowledge of the whole child and for parents of children facing standardized testing.

This book reports an attempt to introduce change in schools using a computer-based curriculum innovation for teaching higher-order thinking skills to middle and high school students. One of the volume's themes is the extraordinary complexity and difficulty of facilitating such change in schools. A corollary of that theme is the fact that patience must be an integral part of the strategy when promoting or studying change in schools. In reporting the activities during the early years of a technological innovation and research project in which the emphasis thus far has been primarily on establishing the change, this book focuses on describing the move to a technology-based learning environment. As such, it details an ongoing process -- a fascinating process -- and one that is likely to be repeated in the near future in countless schools throughout the nation.

Connect data and instruction to improve practiceGathering data and using it to inform instruction is a requirement for many schools, yet educators are not necessarily formally trained in how to do it. This book helps bridge the gap between classroom practice and the principles of educational psychology. Teachers will find cutting-edge advances in research and theory on human learning and teaching in an easily understood and transferable format. The text′s integrated model shows teachers, school leaders, and district administrators how to establish a data culture and transform quantitative and qualitative data into actionable knowledge based on: AssessmentStatisticsInstructional and differentiated psychologyClassroom management

This book describes culturally responsive data literacy (CRDL), which merges data literacy and culturally responsive practices to help educators assume a whole child perspective, an asset model, and an equity lens to the use of data. It provides authentic scenarios and guiding questions to uncover unconscious bias, seeking to build awareness of CRDL and to provide usable resources for all educators.

This book describes culturally responsive data literacy (CRDL), which merges data literacy and culturally responsive practices to help educators assume a whole child perspective, an asset model, and an equity lens to the use of data. It provides authentic scenarios and guiding questions to uncover unconscious bias, seeking to build awareness of CRDL and to provide usable resources for all educators.

Data Ethics: How Educators Can Use Data Effectively and Responsibly describes the concept of data ethics, which has become an increasingly important topic in education practice, in part due to the proliferation of diverse data sources and the growing complexity of students. It is important for educators to know how to use data both effectively and appropriately. Educators are often faced with accountability pressures that may cause them to make decisions that are sometime problematic. This book describes what data ethics are and how new technologies, especially those based on artificial intelligence can challenge the appropriate use of data. It provides authentic scenarios that university instructors, professional development providers, in-service trainers, and individuals can use to help educators better understand data ethics.