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| Author | : Christine A. Franklin |
| Publisher | : |
| Total Pages | : 118 |
| Release | : 2007 |
| Genre | : Mathematics |
| ISBN | : |
Statistics education as proposed in this framework can promote the must-have competencies for graduates to thrive in the modern world.
| Author | : Anna Bargagliotti |
| Publisher | : |
| Total Pages | : 124 |
| Release | : 2020 |
| Genre | : Statistics |
| ISBN | : 9781734223514 |
"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"--
| Author | : National Research Council |
| Publisher | : National Academies Press |
| Total Pages | : 208 |
| Release | : 2003-02-13 |
| Genre | : Education |
| ISBN | : 0309085357 |
Biological sciences have been revolutionized, not only in the way research is conductedâ€"with the introduction of techniques such as recombinant DNA and digital technologyâ€"but also in how research findings are communicated among professionals and to the public. Yet, the undergraduate programs that train biology researchers remain much the same as they were before these fundamental changes came on the scene. This new volume provides a blueprint for bringing undergraduate biology education up to the speed of today's research fast track. It includes recommendations for teaching the next generation of life science investigators, through: Building a strong interdisciplinary curriculum that includes physical science, information technology, and mathematics. Eliminating the administrative and financial barriers to cross-departmental collaboration. Evaluating the impact of medical college admissions testing on undergraduate biology education. Creating early opportunities for independent research. Designing meaningful laboratory experiences into the curriculum. The committee presents a dozen brief case studies of exemplary programs at leading institutions and lists many resources for biology educators. This volume will be important to biology faculty, administrators, practitioners, professional societies, research and education funders, and the biotechnology industry.
| Author | : Patrick Hopfensperger |
| Publisher | : |
| Total Pages | : 272 |
| Release | : 2012 |
| Genre | : Mathematical statistics |
| ISBN | : 9780983937517 |
| Author | : Tammy Veenstra |
| Publisher | : |
| Total Pages | : 84 |
| Release | : 2014 |
| Genre | : Common Core State Standards for Mathematics |
| ISBN | : |
"The Common Core State Standards have provided schools with a new set of required objectives. Specifically in the area of statistics and probability, seventh grade math teachers have new objectives they are required to teach, but they do not necessarily have the required knowledge or curriculum to meet the standards. The Guidelines for Assessment and Instruction in Statictics Education (GAISE) Report and Introduction to Statistical Investigations were used as resources and revised for the seventh grade level. Results of observations and written assessments indicated the inference-based approach effectively taught the students the required standards."--p.vi.
| Author | : Joan Garfield |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 407 |
| Release | : 2008-09-08 |
| Genre | : Education |
| ISBN | : 1402083831 |
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
| Author | : Carmen Batanero |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 424 |
| Release | : 2011-07-31 |
| Genre | : Education |
| ISBN | : 940071131X |
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.
| Author | : Josh Tabor |
| Publisher | : Macmillan |
| Total Pages | : 709 |
| Release | : 2011-12-23 |
| Genre | : Juvenile Nonfiction |
| ISBN | : 1429274379 |
Offering a unique and powerful way to introduce the principles of statistical reasoning, Statistical Reasoning in Sports features engaging examples and a student-friendly approach. Starting from the very first chapter, students are able to ask questions, collect and analyze data, and draw conclusions using randomization tests. Is it harder to shoot free throws with distractions? We explore this question by designing an experiment, collecting the data, and using a hands-on simulation to analyze results. Completely covering the Common Core Standards for Probability and Statistics, Statistical Reasoning in Sports is an accessible and fun way to learn about statistics!
| Author | : Andrew Gelman |
| Publisher | : OUP Oxford |
| Total Pages | : 353 |
| Release | : 2002-08-08 |
| Genre | : Mathematics |
| ISBN | : 0191606995 |
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.
| Author | : Deborah Nolan |
| Publisher | : Oxford University Press |
| Total Pages | : 400 |
| Release | : 2021-03-25 |
| Genre | : Science |
| ISBN | : 0192607502 |
Communication is a critical yet often overlooked part of data science. Communicating with Data aims to help students and researchers write about their insights in a way that is both compelling and faithful to the data. General advice on science writing is also provided, including how to distill findings into a story and organize and revise the story, and how to write clearly, concisely, and precisely. This is an excellent resource for students who want to learn how to write about scientific findings, and for instructors who are teaching a science course in communication or a course with a writing component. Communicating with Data consists of five parts. Part I helps the novice learn to write by reading the work of others. Part II delves into the specifics of how to describe data at a level appropriate for publication, create informative and effective visualizations, and communicate an analysis pipeline through well-written, reproducible code. Part III demonstrates how to reduce a data analysis to a compelling story and organize and write the first draft of a technical paper. Part IV addresses revision; this includes advice on writing about statistical findings in a clear and accurate way, general writing advice, and strategies for proof reading and revising. Part V offers advice about communication strategies beyond the page, which include giving talks, building a professional network, and participating in online communities. This book also provides 22 portfolio prompts that extend the guidance and examples in the earlier parts of the book and help writers build their portfolio of data communication.
