Statistics And Data Science For Teachers PDF, Epub Download

Statistics And Data Science For Teachers Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Statistics And Data Science For Teachers book. This book definitely worth reading, it is an incredibly well-written.

Statistics and Data Science for Teachers

Anna Bargagliotti,Christine Franklin

Author : Anna Bargagliotti,Christine Franklin
Publisher : Unknown
Page : 128 pages
File Size : 55,5 Mb
Release : 2021
Category : Statistics
ISBN : 1734223545

Get Book

Statistics and Data Science for Teachers by Anna Bargagliotti,Christine Franklin Pdf

"A main goal of Statistics and Data Science for Teachers is to provide teacher educators with a resource to guide entire courses and professional development, or portions of courses and professional development when preparing teachers of all school level grade levels to teach the foundations of statistics and data science in their classrooms. In supporting the spirit of Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II), this book presents statistical ideas through investigations and engagement with the statistical problem-solving process of formulating statistical investigative questions, collecting/considering data, analyzing data, and interpreting results"--

Data Science in Education Using R

Ryan A. Estrellado,Emily A. Freer,Jesse Mostipak,Joshua M. Rosenberg,Isabella C. Velásquez

Author : Ryan A. Estrellado,Emily A. Freer,Jesse Mostipak,Joshua M. Rosenberg,Isabella C. Velásquez
Publisher : Routledge
Page : 315 pages
File Size : 44,6 Mb
Release : 2020-10-26
Category : Education
ISBN : 9781000200904

Get Book

Data Science in Education Using R by Ryan A. Estrellado,Emily A. Freer,Jesse Mostipak,Joshua M. Rosenberg,Isabella C. Velásquez Pdf

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.

Data Science for Undergraduates

National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Science Education,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Computer Science and Telecommunications Board,Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective

Author : National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Science Education,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Computer Science and Telecommunications Board,Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective
Publisher : National Academies Press
Page : 139 pages
File Size : 41,5 Mb
Release : 2018-11-11
Category : Education
ISBN : 9780309475594

Get Book

Data Science for Undergraduates by National Academies of Sciences, Engineering, and Medicine,Division of Behavioral and Social Sciences and Education,Board on Science Education,Division on Engineering and Physical Sciences,Committee on Applied and Theoretical Statistics,Board on Mathematical Sciences and Analytics,Computer Science and Telecommunications Board,Committee on Envisioning the Data Science Discipline: The Undergraduate Perspective Pdf

Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.

Data Science in Education Using R

Ryan A. Estrellado,Emily A. Freer,Jesse Mostipak,Joshua M. Rosenberg,Isabella C. Velásquez

Author : Ryan A. Estrellado,Emily A. Freer,Jesse Mostipak,Joshua M. Rosenberg,Isabella C. Velásquez
Publisher : Routledge
Page : 284 pages
File Size : 49,8 Mb
Release : 2020-10-26
Category : Education
ISBN : 9781000200720

Get Book

Data Science in Education Using R by Ryan A. Estrellado,Emily A. Freer,Jesse Mostipak,Joshua M. Rosenberg,Isabella C. Velásquez Pdf

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.

Dear Data

Giorgia Lupi,Stefanie Posavec

Author : Giorgia Lupi,Stefanie Posavec
Publisher : Chronicle Books
Page : 304 pages
File Size : 41,5 Mb
Release : 2016-09-13
Category : Design
ISBN : 9781616895464

Get Book

Dear Data by Giorgia Lupi,Stefanie Posavec Pdf

Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Teaching Statistics

Andrew Gelman,Deborah Nolan

Author : Andrew Gelman,Deborah Nolan
Publisher : OUP Oxford
Page : 353 pages
File Size : 44,6 Mb
Release : 2002-08-08
Category : Mathematics
ISBN : 9780191606991

Get Book

Teaching Statistics by Andrew Gelman,Deborah Nolan Pdf

Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high school level as well. However, statistics can be notoriously difficult to teach as it is seen by many students as difficult and boring, if not irrelevant to their subject of choice. To help dispel these misconceptions, Gelman and Nolan have put together this fascinating and thought-provoking book. Based on years of teaching experience the book provides a wealth of demonstrations, examples and projects that involve active student participation. Part I of the book presents a large selection of activities for introductory statistics courses and combines chapters such as, 'First week of class', with exercises to break the ice and get students talking; then 'Descriptive statistics' , collecting and displaying data; then follows the traditional topics - linear regression, data collection, probability and inference. Part II gives tips on what does and what doesn't work in class: how to set up effective demonstrations and examples, how to encourage students to participate in class and work effectively in group projects. A sample course plan is provided. Part III presents material for more advanced courses on topics such as decision theory, Bayesian statistics and sampling.

International Handbook of Research in Statistics Education

Dani Ben-Zvi,Katie Makar,Joan Garfield

Author : Dani Ben-Zvi,Katie Makar,Joan Garfield
Publisher : Springer
Page : 512 pages
File Size : 51,9 Mb
Release : 2017-12-08
Category : Education
ISBN : 9783319661957

Get Book

International Handbook of Research in Statistics Education by Dani Ben-Zvi,Katie Makar,Joan Garfield Pdf

This handbook connects the practice of statistics to the teaching and learning of the subject with contributions from experts in several disciplines. Chapters present current challenges and methods of statistics education in the changing world for statistics and mathematics educators. Issues addressed include current and future challenges in professional development of teachers, use of technology tools, design of learning environments and appropriate student assessments. This handbook presents challenging and inspiring international research perspectives on the history and nature, current issues, and future directions of statistics education and statistics education research.

Research on Reasoning with Data and Statistical Thinking: International Perspectives

Gail F. Burrill,Leandro de Oliveria Souza,Enriqueta Reston

Author : Gail F. Burrill,Leandro de Oliveria Souza,Enriqueta Reston
Publisher : Springer Nature
Page : 375 pages
File Size : 50,6 Mb
Release : 2023-07-21
Category : Education
ISBN : 9783031294594

Get Book

Research on Reasoning with Data and Statistical Thinking: International Perspectives by Gail F. Burrill,Leandro de Oliveria Souza,Enriqueta Reston Pdf

This book is derived from selected papers from the Fourteenth International Congress on Mathematical Education Topic Study Group 12, Teaching and Learning Statistics. It describes recent research on curriculum, pedagogy and outreach initiatives from countries as diverse as Brazil, Chile, Columbia, Denmark, Germany, the Netherlands, Spain, Sweden, Thailand, Turkey, the United Kingdom, and the United States. The book has a focus on the use of data in the teaching and learning of statistics across grade levels and begins with an overview of the status of statistics education and the use of data from seven different countries across the continents and the link between research and practice in those countries. Because it contains specific examples of the research, for example, on the ways children learn, the choice and implementation of tasks, or the role of informal inference, the book will be a great resource to those interested and involved in the teaching of statistics, curriculum developers, and statistics education researchers.

Mindset Mathematics

Jo Boaler,Jen Munson,Cathy Williams

Author : Jo Boaler,Jen Munson,Cathy Williams
Publisher : John Wiley & Sons
Page : 288 pages
File Size : 41,9 Mb
Release : 2017-08-28
Category : Education
ISBN : 9781119358800

Get Book

Mindset Mathematics by Jo Boaler,Jen Munson,Cathy Williams Pdf

Engage students in mathematics using growth mindset techniques The most challenging parts of teaching mathematics are engaging students and helping them understand the connections between mathematics concepts. In this volume, you'll find a collection of low floor, high ceiling tasks that will help you do just that, by looking at the big ideas at the first-grade level through visualization, play, and investigation. During their work with tens of thousands of teachers, authors Jo Boaler, Jen Munson, and Cathy Williams heard the same message—that they want to incorporate more brain science into their math instruction, but they need guidance in the techniques that work best to get across the concepts they needed to teach. So the authors designed Mindset Mathematics around the principle of active student engagement, with tasks that reflect the latest brain science on learning. Open, creative, and visual math tasks have been shown to improve student test scores, and more importantly change their relationship with mathematics and start believing in their own potential. The tasks in Mindset Mathematics reflect the lessons from brain science that: There is no such thing as a math person - anyone can learn mathematics to high levels. Mistakes, struggle and challenge are the most important times for brain growth. Speed is unimportant in mathematics. Mathematics is a visual and beautiful subject, and our brains want to think visually about mathematics. With engaging questions, open-ended tasks, and four-color visuals that will help kids get excited about mathematics, Mindset Mathematics is organized around nine big ideas which emphasize the connections within the Common Core State Standards (CCSS) and can be used with any current curriculum.

The AMTE Handbook of Mathematics Teacher Education

Babette M. Benken

Author : Babette M. Benken
Publisher : IAP
Page : 490 pages
File Size : 41,7 Mb
Release : 2024-02-01
Category : Mathematics
ISBN : 9798887305431

Get Book

The AMTE Handbook of Mathematics Teacher Education by Babette M. Benken Pdf

This new volume of The Association of Mathematics Teacher Educators (AMTE) Professional Book Series is a critical and timely resource that paves the way and guides the future of mathematics teacher education. The collection of work in this AMTE Handbook of Mathematics Teacher Education reflects on research and what we know about how best to prepare and support both mathematics teachers and mathematics teacher educators and presents what is happening in the field. Examples included in the 22 chapters highlight how we are preparing teachers across multiple contexts (e.g., within district, in content courses for the major) and grade ranges (K-20+) and all chapters highlight relevant connections to the AMTE Standards for Preparing Teachers of Mathematics. Most importantly, this volume explores what we do not yet fully understand and where we are going. In essence, it considers how we can move the field forward. The 95 contributing authors range from graduate students to those who have served as leaders in the field in multiple ways for many years. Authors include K-12 teachers, school administrators, district leaders, graduate students, higher education faculty, and professional development facilitators.

The Teaching and Learning of Statistics

Dani Ben-Zvi,Katie Makar

Author : Dani Ben-Zvi,Katie Makar
Publisher : Springer
Page : 334 pages
File Size : 54,7 Mb
Release : 2015-12-24
Category : Education
ISBN : 9783319234700

Get Book

The Teaching and Learning of Statistics by Dani Ben-Zvi,Katie Makar Pdf

This book presents the breadth and diversity of empirical and practical work done on statistics education around the world. A wide range of methods are used to respond to the research questions that form it's base. Case studies of single students or teachers aimed at understanding reasoning processes, large-scale experimental studies attempting to generalize trends in the teaching and learning of statistics are both employed. Various epistemological stances are described and utilized. The teaching and learning of statistics is presented in multiple contexts in the book. These include designed settings for young children, students in formal schooling, tertiary level students, vocational schools, and teacher professional development. A diversity is evident also in the choices of what to teach (curriculum), when to teach (learning trajectory), how to teach (pedagogy), how to demonstrate evidence of learning (assessment) and what challenges teachers and students face when they solve statistical problems (reasoning and thinking).

Data Science and Machine Learning

Dirk P. Kroese,Zdravko Botev,Thomas Taimre,Radislav Vaisman

Author : Dirk P. Kroese,Zdravko Botev,Thomas Taimre,Radislav Vaisman
Publisher : CRC Press
Page : 538 pages
File Size : 43,9 Mb
Release : 2019-11-20
Category : Business & Economics
ISBN : 9781000730777

Get Book

Data Science and Machine Learning by Dirk P. Kroese,Zdravko Botev,Thomas Taimre,Radislav Vaisman Pdf

Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code

Educational Data Analytics for Teachers and School Leaders

Sofia Mougiakou,Dimitra Vinatsella,Demetrios Sampson,Zacharoula Papamitsiou,Michail Giannakos,Dirk Ifenthaler

Author : Sofia Mougiakou,Dimitra Vinatsella,Demetrios Sampson,Zacharoula Papamitsiou,Michail Giannakos,Dirk Ifenthaler
Publisher : Springer Nature
Page : 249 pages
File Size : 48,9 Mb
Release : 2022-10-28
Category : Education
ISBN : 9783031152665

Get Book

Educational Data Analytics for Teachers and School Leaders by Sofia Mougiakou,Dimitra Vinatsella,Demetrios Sampson,Zacharoula Papamitsiou,Michail Giannakos,Dirk Ifenthaler Pdf

Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalized educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks. This open access textbook is a tutorial for developing, practicing and self-assessing core competences on educational data analytics for digital teaching and learning. It combines theoretical knowledge on core issues related to collecting, analyzing, interpreting and using educational data, including ethics and privacy concerns. The textbook provides questions and teaching materials/ learning activities as quiz tests of multiple types of questions, added after each section, related to the topic studied or the video(s) referenced. These activities reproduce real-life contexts by using a suitable use case scenario (storytelling), encouraging learners to link theory with practice; self-assessed assignments enabling learners to apply their attained knowledge and acquired competences on EDL. By studying this book, you will know where to locate useful educational data in different sources and understand their limitations; know the basics for managing educational data to make them useful; understand relevant methods; and be able to use relevant tools; know the basics for organising, analysing, interpreting and presenting learner-generated data within their learning context, understand relevant learning analytics methods and be able to use relevant learning analytics tools; know the basics for analysing and interpreting educational data to facilitate educational decision making, including course and curricula design, understand relevant teaching analytics methods and be able to use relevant teaching analytics tools; understand issues related with educational data ethics and privacy. This book is intended for school leaders and teachers engaged in blended (using the flipped classroom model) and online (during COVID-19 crisis and beyond) teaching and learning; e-learning professionals (such as, instructional designers and e-tutors) of online and blended courses; instructional technologists; researchers as well as undergraduate and postgraduate university students studying education, educational technology and relevant fields.

Probability and Statistics for Data Science

Norman Matloff

Author : Norman Matloff
Publisher : CRC Press
Page : 412 pages
File Size : 53,7 Mb
Release : 2019-06-21
Category : Business & Economics
ISBN : 9780429687129

Get Book

Probability and Statistics for Data Science by Norman Matloff Pdf

Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Science" in the title quite seriously: * Real datasets are used extensively. * All data analysis is supported by R coding. * Includes many Data Science applications, such as PCA, mixture distributions, random graph models, Hidden Markov models, linear and logistic regression, and neural networks. * Leads the student to think critically about the "how" and "why" of statistics, and to "see the big picture." * Not "theorem/proof"-oriented, but concepts and models are stated in a mathematically precise manner. Prerequisites are calculus, some matrix algebra, and some experience in programming. Norman Matloff is a professor of computer science at the University of California, Davis, and was formerly a statistics professor there. He is on the editorial boards of the Journal of Statistical Software and The R Journal. His book Statistical Regression and Classification: From Linear Models to Machine Learning was the recipient of the Ziegel Award for the best book reviewed in Technometrics in 2017. He is a recipient of his university's Distinguished Teaching Award.

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

Anna Bargagliotti,Christine Franklin,Pip Arnold,Rob Gould

Author : Anna Bargagliotti,Christine Franklin,Pip Arnold,Rob Gould
Publisher : Unknown
Page : 124 pages
File Size : 52,6 Mb
Release : 2020
Category : Statistics
ISBN : 1734223510

Get Book

Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II) by Anna Bargagliotti,Christine Franklin,Pip Arnold,Rob Gould Pdf

"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 And Data Science For Teachers

Statistics and Data Science for Teachers by Anna Bargagliotti,Christine Franklin Pdf

Data Science in Education Using R by Ryan A. Estrellado,Emily A. Freer,Jesse Mostipak,Joshua M. Rosenberg,Isabella C. Velásquez Pdf

Data Science in Education Using R by Ryan A. Estrellado,Emily A. Freer,Jesse Mostipak,Joshua M. Rosenberg,Isabella C. Velásquez Pdf

Dear Data by Giorgia Lupi,Stefanie Posavec Pdf

Teaching Statistics by Andrew Gelman,Deborah Nolan Pdf

International Handbook of Research in Statistics Education by Dani Ben-Zvi,Katie Makar,Joan Garfield Pdf

Research on Reasoning with Data and Statistical Thinking: International Perspectives by Gail F. Burrill,Leandro de Oliveria Souza,Enriqueta Reston Pdf

Mindset Mathematics by Jo Boaler,Jen Munson,Cathy Williams Pdf

The AMTE Handbook of Mathematics Teacher Education by Babette M. Benken Pdf

The Teaching and Learning of Statistics by Dani Ben-Zvi,Katie Makar Pdf

Data Science and Machine Learning by Dirk P. Kroese,Zdravko Botev,Thomas Taimre,Radislav Vaisman Pdf

Educational Data Analytics for Teachers and School Leaders by Sofia Mougiakou,Dimitra Vinatsella,Demetrios Sampson,Zacharoula Papamitsiou,Michail Giannakos,Dirk Ifenthaler Pdf

Probability and Statistics for Data Science by Norman Matloff Pdf

Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II) by Anna Bargagliotti,Christine Franklin,Pip Arnold,Rob Gould Pdf

Recent Posts