Driven by Data

Driven by Data

Author: Paul Bambrick-Santoyo

Publisher: John Wiley & Sons

Published: 2010-04-12

Total Pages: 336

ISBN-13: 0470548746

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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.


Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II)

Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II)

Author: Anna Bargagliotti

Publisher:

Published: 2020

Total Pages: 124

ISBN-13: 9781734223514

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"This document lays out a curriculum framework for pre-K-12 educational programs that is designed to help students achieve data literacy and become statistically literate. The framework and subsequent sections in this book recommend curriculum and implementation strategies covering pre-K-12 statistics education"--


Statistics Made Simple for School Leaders

Statistics Made Simple for School Leaders

Author: Susan Rovezzi Carroll

Publisher: R&L Education

Published: 2002-10-16

Total Pages: 162

ISBN-13: 146165419X

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The chief executive officer of a corporation is not much different from a public school administrator. While CEOs base many of their decisions on data, for school administrators, this type of research may conjure up miserable memories of searching for information to meet a graduate school requirement. However, the value of data-based decision making will continue to escalate and the school community—students, teachers, parents and the general public—expect this information to come from their administrators. Administrators are called on to be accountable, but few are capable of presenting the mountain of data that they collect in a cohesive and strategic manner. Most statistical books are focused on statistical theory versus application, but Statistics Made Simple for School Leaders presents statistics in a simple, practical, conceptual, and immediately applicable manner. It enables administrators to take their data and manage it into strategic information so the results can be used for action plans that benefit the school system. The approach is 'user friendly' and leaves the reader with a confident can-do attitude to communicate results and plans to staff and the community.


Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education

Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education

Author: Carmen Batanero

Publisher: Springer Science & Business Media

Published: 2011-07-31

Total Pages: 424

ISBN-13: 940071131X

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Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education results from the Joint ICMI/IASE Study Teaching Statistics in School Mathematics: Challenges for Teaching and Teacher Education. Oriented to analyse the teaching of statistics in school and to recommend improvements in the training of mathematics teachers to encourage success in preparing statistically literate students, the volume provides a picture of the current situation in both the teaching of school statistics and the pre-service education of mathematics teachers. A primary goal of Teaching Statistics in School Mathematics-Challenges for Teaching and Teacher Education is to describe the essential elements of statistics, teacher’s professional knowledge and their learning experiences. Moreover, a research agenda that invites new research, while building from current knowledge, is developed. Recommendations about strategies and materials, available to train prospective teachers in university and in-service teachers who have not been adequately prepared, are also accessible to the reader.


Developing Students’ Statistical Reasoning

Developing Students’ Statistical Reasoning

Author: Joan Garfield

Publisher: Springer Science & Business Media

Published: 2008-09-08

Total Pages: 407

ISBN-13: 1402083831

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Increased attention is being paid to the need for statistically educated citizens: statistics is now included in the K-12 mathematics curriculum, increasing numbers of students are taking courses in high school, and introductory statistics courses are required in college. However, increasing the amount of instruction is not sufficient to prepare statistically literate citizens. A major change is needed in how statistics is taught. To bring about this change, three dimensions of teacher knowledge need to be addressed: their knowledge of statistical content, their pedagogical knowledge, and their statistical-pedagogical knowledge, i.e., their specific knowledge about how to teach statistics. This book is written for mathematics and statistics educators and researchers. It summarizes the research and highlights the important concepts for teachers to emphasize, and shows the interrelationships among concepts. It makes specific suggestions regarding how to build classroom activities, integrate technological tools, and assess students’ learning. This is a unique book. While providing a wealth of examples through lessons and data sets, it is also the best attempt by members of our profession to integrate suggestions from research findings with statistics concepts and pedagogy. The book’s message about the importance of listening to research is loud and clear, as is its message about alternative ways of teaching statistics. This book will impact instructors, giving them pause to consider: "Is what I’m doing now really the best thing for my students? What could I do better?" J. Michael Shaughnessy, Professor, Dept of Mathematical Sciences, Portland State University, USA This is a much-needed text for linking research and practice in teaching statistics. The authors have provided a comprehensive overview of the current state-of-the-art in statistics education research. The insights they have gleaned from the literature should be tremendously helpful for those involved in teaching and researching introductory courses. Randall E. Groth, Assistant Professor of Mathematics Education, Salisbury University, USA


Data Science in Education Using R

Data Science in Education Using R

Author: Ryan A. Estrellado

Publisher: Routledge

Published: 2020-10-26

Total Pages: 331

ISBN-13: 1000200906

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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.


Improving the Capacity of the National Education Data System to Address Equity Issues

Improving the Capacity of the National Education Data System to Address Equity Issues

Author: National Forum on Education Statistics (U.S.). National Education Statistics Agenda Committee

Publisher:

Published: 1995

Total Pages: 52

ISBN-13:

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"A Guide to Improving the National Education Data System" (1990) makes 36 recommendations for improving data collection in the areas of student/background characteristics, education resources, school processes, and student outcomes. This paper uses the framework of the "Guide" to review issues raised in "Education Counts," a recent examination of the nation's capacity to measure and monitor educational change, focusing specifically on data needed to address issues of educational equity with respect to student populations. The first section discusses current equity and at-risk policy issues and the data needed to address them. The second section looks more closely at the data currently available to address these items. The third section examines limitations in current data collections for addressing equity issues, and a fourth section provides specific recommendations for ways to improve the national data system to address equity issues. Recommendations center on the creation of student-based record systems, the linkage of elementary and secondary systems, the development of new measures and indicators, and the reporting of data according to student characteristics. (Contains 10 figures, 2 appendixes, and 60 references.) (SLD)


How to Lie with Statistics

How to Lie with Statistics

Author: Darrell Huff

Publisher: W. W. Norton & Company

Published: 2010-12-07

Total Pages: 144

ISBN-13: 0393070875

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If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.