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The K-12 Educator’s Data Guidebook is a comprehensive field guide for school professionals learning to use data. “Non-data people,” rejoice! Requiring no prior proficiency in data tools and programming, this book validates the implicit challenges of learning to use data to empower educators and features original real-world examples from in-service educators to illustrate common problem-solving. Each chapter uses stories, humor, and a human approach to set the tone for a safe and fun learning experience. Through this highly practical foundation, everyday educators can better engage school initiatives, professional development, and instructional challenges that require competent data use for improving school systems.
This is a comprehensive field guide for school professionals learning to use data. Requiring no prior proficiency in data tools and programming, this book validates the implicit challenges of learning to use data to empower educators and features original real-world examples from in-service educators to illustrate common problem-solving.
The K-12 Educator’s Data Guidebook is a comprehensive field guide for school professionals learning to use data. “Non-data people,” rejoice! Requiring no prior proficiency in data tools and programming, this book validates the implicit challenges of learning to use data to empower educators and features original real-world examples from in-service educators to illustrate common problem-solving. Each chapter uses stories, humor, and a human approach to set the tone for a safe and fun learning experience. Through this highly practical foundation, everyday educators can better engage school initiatives, professional development, and instructional challenges that require competent data use for improving school systems.
Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.
Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.
This book is the color print version (go here for the black and white version: http://bit.ly/k12blended-print). This book is your guide to blended teaching in K-12 settings. It was designed to help both pre-service and in-service teachers prepare their classes for blended teaching. The book can be accessed in several different formats at http://edtechbooks.org/k12blended.This book begins by orienting you to the foundational dispositions and skills needed to support your blended teaching practice. Then you will be introduced to four key competencies for blended teaching which are: (1) Online Integration - ability to effectively combine online instruction with in-person instruction. (2) Data Practices - ability to use digital tools to monitor student activity and performance in order to guide student growth. (3) Personalization - ability to implement a learning environment that allows for student customization of goals, pace, and/or learning path. (4) Online Interaction - ability to facilitate online interactions with and between students. The final chapter of the book helps you bring all four competencies together as you implement blended teaching in your classroom.
What makes a powerful and results-driven Professional Learning Community (PLC)? The answer is collaborative work that expands the emphasis on student learning and leverages individual teacher efficacy into collective teacher efficacy. PLC+: Better Decisions and Greater Impact by Design calls for strong and effective PLCs plus—and that plus is YOU. Until now, the PLC movement has been focused almost exclusively on students and what they were or were not learning. But keeping student learning at the forefront requires that we also recognize the vital role that you play in the equation of teaching and learning. This means that PLCs must take on two additional challenges: maximizing your individual expertise, while harnessing the power of the collaborative expertise you can develop with your peers. PLC+ is grounded in four cross-cutting themes—a focus on equity of access and opportunity, high expectations for all students, a commitment to building individual self-efficacy and the collective efficacy of the professional learning community and effective team activation and facilitation to move from discussion to action. The PLC+ framework supports educators in considering five essential questions as they work together to improve student learning: Where are we going? Where are we now? How do we move learning forward? What did we learn today? Who benefited and who did not benefit? The PLC+ framework leads educators to question practices as well as outcomes. It broadens the focus on student learning to encompass educational equity and teaching efficacy, and, in doing so, it leads educators to plan and implement learning communities that maximize individual expertise while harnessing the power of collaborative efficacy.
Collect multiple forms of data and connect data to improved student achievement! Are you looking for new ways to use data in the decision-making process? Are you seeking tools that provide better flow-through from data to improved student achievement? Have you ever considered including students in the data-to-improvement cycle? Schools recognize that data is an essential decision-making tool, but it requires teamwork and reflection to reap the maximum benefits. This guidebook offers practical collection and analysis methods and templates as well as tips for building trust and working together. The Data Guidebook for Teachers and Leaders accentuates the importance of data collection of multiple types, not just from standardized tests, and analysis within any educational setting. In addition to addressing the practical aspects of data usage, the author presents innovative ideas for Introducing students to the data analysis cycle Helping students learn how data impacts student achievement Sharing day-to-day data within departments and schools to improve weekly test scores Making data and results accessible to all team members Data becomes a dynamic tool for change when you learn how to incorporate it into your continuous improvement process.
Use data as an effective tool for school change and improvement! This resource helps data team facilitators move schools away from unproductive data practices and toward examining data for systematic and continuous improvement in instruction and learning. The book, which includes a CD-ROM with slides and reproducibles, illustrates how the authors' model has proven successful in: Narrowing achievement gaps in all content areas and grade levels Achieving strong, continuous gains in local and state assessments in mathematics, science, and reading Initiating powerful conversations about race/ethnicity, class, educational status, gender, and language differences Developing a vision for a high-performing, data-informed school culture
How can states and schools use data to support their efforts to improve educational equity? Building Educational Equity Indicator Systems: A Guidebook for States and School Districts, provides information to help state and school district leaders develop ways of tracking educational equity within their preK â€" 12 systems. The guidebook expands on the indicators of educational equity identified in the 2019 National Academies report, Monitoring Educational Equity, showing education leaders how they can measure educational equity within their states and school districts. Some of the indicators focus on student outcomes, such as kindergarten readiness or educational attainment, while others focus on student access to opportunities and resources, such as effective instruction and rigorous curriculum. Together, the indicators provide a robust picture of the outcomes and opportunities that are central to educational equity from preK through grade 12. For each indicator of educational equity identified in the report, the guidebook describes what leaders should measure and what data to use, provides examples of data collection instruments, and offers considerations and challenges to keep in mind. The guidebook is meant to help education leaders catalogue data they already collect and identify new data sources to help them fill gaps.