The Teaching and Learning of Statistics (PDF)

Name: The Teaching and Learning of Statistics
Brand: Springer-Verlag GmbH
SKU: 73482119
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This stimulating overview of current innovations in teaching and learning statistics reflects both ongoing trends in the field and the increasing relevance of statistics in our data-driven era. A global panel of scholars, educators, and researchers documents wide-scale challenges such as students integrating statistical and contextual knowledge and teachers developing statistical literacy. The editors and contributors make it clear that the wider uses of statistics are not only applicable to the STEM subjects, but also to critical thinking and reasoning across disciplines, tasks, and interests. The diversity of statistics education is itself on display in terms of curriculum choices, pedagogical strategies, assessment methods, and technological support.

Among the topics covered:

Learning to integrate statistical and work-related reasoning.

Mathematical modeling for critical statistics education.

Connections between statistical thinking and critical thinking.

Students' sense-making of graphical representation in a basic statistics module.

Undergraduate students' conceptions of variability in a dynamic computer-based environment.

Preservice teachers' difficulties with statistical writing.

Teaching and Learning Statistics captures a watershed moment in education, and is a worthy resource for mathematics teachers and researchers, particularly those interested in statistics education.

Autoren-Porträt

Dani Ben-Zvi is an associate professor at the University of Haifa in the Faculty of Education, member of the Technology in Education Graduate Department, and member of the Mathematics Education Graduate Department. He is also the co-founder of the International Collaboration for Research on Statistical Reasoning, Thinking and Literacy, and co-chairs it with his co-editor, Katie Makar. His research interests include statistical reasoning and technology enhanced learning. He received his Ph.D. from the Weizmann Institute of Science in 2001 at the Department of Science Teaching. Dr Katie Makar is a senior lecturer in mathematics education at the University of Queensland. Her research looks at teaching of mathematics through inquiry. She is also known internationally for her work on statistical reasoning and informal statistical inference at the primary school level. She has done consulting work on teaching with inquiry, reasoning in chance and data, teacher professional standards and middle years curriculum. Her teaching includes courses in mathematics education, interdisciplinary curriculum, teacher professionalism, and statistics. Previously, she taught secondary mathematics for fifteen years in the US and Asia before finishing her PhD in 2004.

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Bibliographische Angaben

2015, 1st ed. 2016, 334 Seiten, Englisch
Herausgegeben: Dani Ben-Zvi, Katie Makar
Verlag: Springer-Verlag GmbH
ISBN-10: 3319234706
ISBN-13: 9783319234700
Erscheinungsdatum: 24.12.2015

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Dateiformat: PDF
Grösse: 11 MB
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Sprache:

Englisch

Pressezitat

“The investigations cover a broad range of issues regarding the education of students in statistics at the secondary and higher education levels, along with a few sections focused on the primary level. … the book provides an effective compendium of studies regarding statistics education over a broad spectrum of teaching strategies. Summing Up: Highly recommended. Upper-division graduates through faculty.” (N. W. Schillow, Choice, Vol. 53 (11), July, 2016)

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