Topics and Trends in Current Statistics Education Research: International Perspectives

ISBN-13: 9783030034719 / Angielski / Twarda / 2019 / 422 str.

Gail Burrill; Dani Ben-Zvi

Spis treści

Front Matter

Foreword

Senior statistics education scholar

 Table of Contents

 List of Contributors

 Introduction

Gail and Dani

 Part I: Student Understanding

Chapter 1

Budgett, Stephanie

s.budgett@auckland.ac.nz

Visualizing Chance: Tackling Conditional Probability Misconceptions

Chapter 2

Büscher, Christian

christian.buescher@math.tu-dortmund.de

Students’ Development of Measures

Chapter 3

Orta Amaro, José Antonio

jaortaa@gmail.com

Students’ Reasoning about Variation in Risk Context

Chapter 4

Aridor, Keren

kerenaridor@gmail.com

Students’ Aggregate Reasoning with Covariation

Part II: Teaching for Understanding

Chapter 5

Manor Braham, Hana

hana.manor@gmail.com

Design for Reasoning with Uncertainty in Informal Statistical Inference

Chapter 6

Burrill, Gail

burrill@msu.edu

The Role of Technology in Building Conceptual Images of Fundamental Concepts in Statistics

Chapter 7

Schindler, Maike

maike.schindler@oru.se

Informal Inferential Reasoning and the Social. How an Inferentialist Epistemology can Contribute to Understanding Students’ Informal Inferences.

Chapter 8

Arnold, Pip

parnold@cognitioneducation.com

Posing Comparative Investigative Questions

Part III: Teachers’ Knowledge (preservice and inservice)

Chapter 9

De Vetten, Arjen

a.j.de.vetten@vu.nl

The Growing Samples Heuristic: Exploring Pre-service Teachers’ Reasoning about Informal Statistical Inference when Generalizing from Samples of increasing Size

Chapter 10

Vermette, Sylvain

sylvain.vermette@uqtr.ca

Teachers’ Statistical Knowledge: The Case of Variability

Chapter 11

Peters, Susan A.

s.peters@louisville.edu

Secondary Teachers’ Learning: Measures of Variation

Chapter 12

Madden, Sandra Renee

smadden@educ.umass.edu

Exploring Secondary Teacher Statistical Learning: Professional Learning in a Blended Format Statistics and Modeling Course

Chapter 13

Frischemeier, Daniel

dafr@math.upb.de

Statistical reasoning of preservice teachers when comparing groups with TinkerPlots

Part IV: Teachers’ Beliefs

Chapter 14

Henriques, Ana

achenriques@ie.ul.pt

Teachers’ Perspectives on Tasks and Technology to Promote Statistical Reasoning

Chapter 15

Idris, Khairiani

yani.stain@gmail.com

A Study of Indonesian Pre-service English as a Foreign Language Teachers Values on Learning Statistics

Part V: Curriculum

Chapter 16

Pratt, Dave

D.Pratt@ioe.ac.uk

A MOOC for Adult Learners of Mathematics and Statistics

Chapter 17

Zapata-Cardona, Lucia

minervaluka@hotmail.com

Critical Citizenship in Colombian Statistics Textbooks

Chapter 18

Weiland, Travis

tweiland@umassd.edu

A Case for Critical Statistics Education

Chapter 19

Özmen, Zeynep Medine

zmozmen@ktu.edu.tr

Comparing the Statistical Literacy of Students in Different Undergraduate Programs in Terms of Statistical Process

Index

Blurb

This book focuses on international research in statistics education, providing a solid understanding of the challenges in learning statistics. It presents the teaching and learning of statistics in various contexts, including designed settings for young children, students in formal schooling, tertiary level students, and teacher professional development. The book describes research on what to teach and platforms for delivering content (curriculum), strategies on how to teach for deep understanding, and includes several chapters on developing conceptual understanding (pedagogy and technology), teacher knowledge and beliefs, and the challenges teachers and students face when they solve statistical problems (reasoning and thinking). This new research in the field offers critical insights for college instructors, classroom teachers, curriculum designers, researchers in mathematics and statistics education as well as policy makers and newcomers to the field of statistics education.

Statistics has become one of the key areas of study in the modern world of information and big data. The dramatic increase in demand for learning statistics in all disciplines is accompanied by tremendous growth in research in statistics education. Increasingly, countries are teaching more quantitative reasoning and statistics at lower and lower grade levels within mathematics, science and across many content areas. Research has revealed the many challenges in helping learners develop statistical literacy, reasoning, and thinking, and new curricula and technology tools show promise in facilitating the achievement of these desired outcomes.