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Kategorie szczegółowe BISAC

Developing Students' Statistical Reasoning: Connecting Research and Teaching Practice

ISBN-13: 9781402083822 / Angielski / Twarda / 2008 / 408 str.

Joan Garfield; Dani (University Of Haifa) Ben-Zvi
Developing Students' Statistical Reasoning: Connecting Research and Teaching Practice Garfield, Joan 9781402083822 KLUWER ACADEMIC PUBLISHERS GROUP - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Developing Students' Statistical Reasoning: Connecting Research and Teaching Practice

ISBN-13: 9781402083822 / Angielski / Twarda / 2008 / 408 str.

Joan Garfield; Dani (University Of Haifa) Ben-Zvi
cena 887,69
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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

Kategorie:
Podręczniki
Kategorie BISAC:
Education > Teaching - Subjects - Mathematics
Education > Schools - Levels - Higher
Mathematics > Prawdopodobieństwo i statystyka
Wydawca:
KLUWER ACADEMIC PUBLISHERS GROUP
Język:
Angielski
ISBN-13:
9781402083822
Rok wydania:
2008
Wydanie:
2008
Ilość stron:
408
Waga:
0.76 kg
Wymiary:
23.39 x 15.6 x 2.39
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Bibliografia
Wydanie ilustrowane

From the reviews:

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?"

Professor J. Michael Shaughnessy, Department 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.

Dr Randall E. Groth, Mathematics Education, Salisbury University, USA

"Garfield and Ben-Zvi have taken on an enormous task in their book, Developing Students' Statistical Reasoning. ... The book contains an extended reference list that will be of great assistance to those who not only want to implement change in their teaching but also want to carry out research on that change with a view to reporting to the wider statistical educational community. ... the authors have met their goal of providing a new way of thinking about teaching and learning introductory formal statistics courses." (Jane Watson, The International Journal on Mathematics Education, Vol. 41, 2009)

"The main goal of the book ... is to reconciliate the research results with practical suggestions for teachers. ... Teachers of introductory statistics courses at the high school or college level will find in this book ideas, activities, research summaries directly applicable in classrooms. ... Unquestionably, the book will be ... a worthy resource filling in the gap between the researchers and the practitioners in the fast expanding field of statistics education." (Mihai Cipu, Zentralblatt MATH, Vol. 1156, 2009)

Foreword Roxy Peck Preface Joan Garfield and Dani Ben-Zvi Part I. The Foundations of Statistics Education Chapter 1 The Discipline of Statistics Education Chapter 2 The Research on Teaching and Learning Statistics Chapter 3 Creating a Statistical Reasoning Learning Environment Chapter 4 Assessment in Statistics Education Chapter 5 Using Technology to Improve Student Learning of Statistics Part II. From Research to Practice: Developing the Big Ideas of Statistics Introduction to Part II Connecting Research to Teaching Practice Chapter 6 Learning to Reason about Data Chapter 7 Learning to Reason about Statistical Models and Modeling Chapter 8 Learning to Reason about Distribution Chapter 9 Learning to Reason about Center Chapter 10 Learning to Reason about Variability Chapter 11 Learning to Reason about Comparing Groups Chapter 12 Learning to Reason about Samples and Sampling Distributions Chapter 13 Learning to Reason about Statistical Inference Chapter 14 Learning to Reason about Covariation Part III. Implementing Change through Collaboration Introduction to Part III The Role of Collaboration in Improving Statistics Education: In Learning, in Teaching, and in Research Chapter 15 Collaboration in the Statistics Classroom Chapter 16 Collaboration in Teaching and Research ReferencesResources Tables of Activities Author Index Subject Index

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



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