Innovations in statistical modeling to connect data, chance and context

Statistical modeling is emerging as a fertile research environment in which to promote and learn about student statistical reasoning processes. We outline a paradigm shift toward a modeling perspective that is occurring in statistics education research and how statistical modeling processes involve...

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Bibliographic Details
Published in:ZDM Vol. 50; no. 7; pp. 1113 - 1123
Main Authors: Pfannkuch, Maxine, Ben-Zvi, Dani, Budgett, Stephanie
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2018
Springer
Springer Nature B.V
Subjects:
Computer Software
Context
Core curriculum
Data Analysis
Education
Educational Environment
Educational Research
Educational Technology
Hypothesis testing
Instructional Innovation
Learning
Mathematical Models
Mathematics
Mathematics Education
Mathematics Instruction
Reasoning
School environment
Software
Statistical inference
Statistical models
Statistics
Statistics Education
Students
Survey Paper
Teaching Methods
Thinking Skills
Statistics Education Researchers
TinkerPlots
Prebuilt Models
Statistical Modeling Process
Konold
ISSN:1863-9690, 1863-9704
Online Access:Get full text
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Summary:Statistical modeling is emerging as a fertile research environment in which to promote and learn about student statistical reasoning processes. We outline a paradigm shift toward a modeling perspective that is occurring in statistics education research and how statistical modeling processes involve connecting data, chance and context. The innovative task and software designs and theoretical frameworks that are under development for explicating student reasoning and pedagogy are discussed. In conclusion, we reflect on statistics education research.
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ISSN:1863-9690
1863-9704
DOI:10.1007/s11858-018-0989-2