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Data And Teaching

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Transforming Teaching And Learning Through Data Driven Decision Making

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Author : Ellen B. Mandinach
language : en
Publisher: Corwin Press
Release Date : 2012-04-10

Transforming Teaching And Learning Through Data Driven Decision Making written by Ellen B. Mandinach and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-10 with Business & Economics categories.

"Gathering 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: assessment; statistics; instructional and differentiated psychology; classroom management."--Publisher's description.

Big Data In Education

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Author : Ben Williamson
language : en
Publisher: SAGE
Release Date : 2017-07-24

Big Data In Education written by Ben Williamson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-24 with Education categories.

Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!

Data Science In Education Using R

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Author : Ryan A. Estrellado
language : en
Publisher: Routledge
Release Date : 2020-10-26

Data Science In Education Using R written by Ryan A. Estrellado and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-26 with Education categories.

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.

Big Data And Learning Analytics In Higher Education

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Author : Ben Kei Daniel
language : en
Publisher: Springer
Release Date : 2016-08-27

Big Data And Learning Analytics In Higher Education written by Ben Kei Daniel and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-27 with Education categories.

This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns.

Data Wise Revised And Expanded Edition

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Author : Kathryn Parker Boudett
language : en
Publisher: Harvard Education Press
Release Date : 2020-08-26

Data Wise Revised And Expanded Edition written by Kathryn Parker Boudett and has been published by Harvard Education Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-26 with Education categories.

Data Wise: A Step-by-Step Guide to Using Assessment Results to Improve Teaching and Learning presents a clear and carefully tested blueprint for school leaders. It shows how examining test scores and other classroom data can become a catalyst for important schoolwide conversations that will enhance schools’ abilities to capture teachers’ knowledge, foster collaboration, identify obstacles to change, and enhance school culture and climate. This revised and expanded edition captures the learning that has emerged in integrating the Data Wise process into school practice and brings the book up-to-date with recent developments in education and technology including: The shift to the Common Core State Standards. New material on the “ACE Habits of Mind”: practices that prioritize Action, Collaboration, and Evidence as part of transforming school culture. A new chapter on “How We Improve,” based on experiences implementing Data Wise and to address two common questions: “Where do I start?” and “How long will it take?” Other revisions take into account changes in the roles of school data teams and instructional leadership teams in guiding the inquiry process. The authors have also updated exhibits, examples, and terminology throughout and have added new protocols and resources.

Data Literacy For Educators

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Author : Ellen B. Mandinach
language : en
Publisher: Teachers College Press
Release Date : 2016

Data Literacy For Educators written by Ellen B. Mandinach and has been published by Teachers College Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Education categories.

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. Book Features: Defines data literacy for teaching and outlines the knowledge and skills it comprises. Uses examples and case studies that tie theory to practice. Provides a roadmap for integrating data literacy into teacher preparation programs. Covers emerging trends, such as virtual and hybrid courses and massive open online courses. “This thoughtful, well-organized book raises the challenges that beginning and experienced teachers face in becoming more data literate to increase their pedagogical effectiveness in their classrooms.” —From the Foreword by Barbara Schneider “Deans of colleges of education, practicing teachers, education advocates, and many others will find useful information here.” —Benjamin Riley, Deans for Impact “This work should join the ‘common core’ of teacher education and professional development programs.” —Lee S. Shulman, The Carnegie Foundation for the Advancement of Teaching “The authors lay out a compelling call to action to ensure that every teacher in this country has the skills, knowledge, and disposition in knowing how to use data to inform effective teaching.” —Aimee Rogstad Guidera, Data Quality Campaign

Data Literacy For Educators

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Author : Ellen B. Mandinach
language : en
Publisher: Teachers College Press
Release Date : 2016-04-01

How Teachers Can Turn Data Into Action

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Author : Daniel R. Venables
language : en
Publisher: ASCD
Release Date : 2014-02-03

How Teachers Can Turn Data Into Action written by Daniel R. Venables and has been published by ASCD this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-03 with Education categories.

" From state and Common Core tests to formative and summative assessments in the classroom, teachers are awash in data. Reviewing the data can be time-consuming, and the work of translating data into real change can seem overwhelming. Tapping more than 30 years' experience as an award-winning teacher and a trainer of PLC coaches, Daniel R. Venables, author of The Practice of Authentic PLCs: A Guide to Effective Teacher Teams, soothes the trepidation of even the biggest ""dataphobes"" in this essential resource. Field-tested and fine-tuned with professional learning communities around the United States, the Data Action Model is a teacher-friendly, systematic process for reviewing and responding to data in cycles of two to nine weeks. This powerful tool enables you and your teacher team to * Identify critical gaps in learning and corresponding instructional gaps; * Collaborate on solutions and develop a goal-driven action plan; and * Evaluate the plan's effectiveness after implementation and determine the next course of action. With easy-to-use templates and protocols to focus and deepen data conversations, this indispensable guide delineates exactly what should be accomplished in each team meeting to translate data into practice. In the modern sea of data, this book is your life preserver! "

Data Based Decision Making In Education

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Author : Kim Schildkamp
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-09-18

Data Based Decision Making In Education written by Kim Schildkamp and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-18 with Education categories.

In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students’ assessments, classroom observations etc. This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are ‘best practice’ studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.

Guide To Teaching Data Science

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Author : Orit Hazzan
language : en
Publisher: Springer Nature
Release Date : 2023-03-20

Guide To Teaching Data Science written by Orit Hazzan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-20 with Computers categories.

Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry. This book aims at closing a significant gap in the literature on the pedagogy of data science. While there are many articles and white papers dealing with the curriculum of data science (i.e., what to teach?), the pedagogical aspect of the field (i.e., how to teach?) is almost neglected. At the same time, the importance of the pedagogical aspects of data science increases as more and more programs are currently open to a variety of people. This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach). Professor Orit Hazzan is a faculty member at the Technion’s Department of Education in Science and Technology since October 2000. Her research focuses on computer science, software engineering and data science education. Within this framework, she studies the cognitive and social processes on the individual, the team and the organization levels, in all kinds of organizations. Dr. Koby Mike is a Ph.D. graduate from the Technion's Department of Education in Science and Technology under the supervision of Professor Orit Hazzan. He continued his post-doc research on data science education at the Bar-Ilan University, and obtained a B.Sc. and an M.Sc. in Electrical Engineering from Tel Aviv University.

Data And Teaching

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