Impacts of Digitalization on Content and Goals of Statistics Education

Author:

Biehler RolfORCID,Frischemeier DanielORCID,Gould RobertORCID,Pfannkuch MaxineORCID

Publisher

Springer International Publishing

Reference68 articles.

1. Arnold P (2013) Statistical investigative questions – an enquiry into posing and answering investigative questions from existing data. Doctor of Philosophy, The University of Auckland, Auckland. https://researchspace.auckland.ac.nz/handle/2292/21305

2. Arnold P, Franklin C (2021) What makes a good statistical question? J Stat Data Sci Educ 29(1):122–130. https://doi.org/10.1080/26939169.2021.1877582

3. Arnold P, Pfannkuch M, Wild C, Regan M, Budgett S (2011) Enhancing students’ inferential reasoning: from hands-on to “movies”. J Stat Educ 19(2):1–32. http://www.amstat.org/publications/jse/v19n2/pfannkuch.pdf

4. Bakker A, Gravemeijer K (2004) Learning to reason about distributions. In: Ben-Zvi D, Garfield J (eds) The challenge of developing statistical literacy, reasoning and thinking. Kluwer Academic Publishers, Dordrecht, pp 147–168

5. Bargagliotti A, Franklin C, Arnold P, Gould R, Johnson L, Perez L, Spangler D (2020) Pre-K-12 guidelines for assessment and instruction in statistics education (GAISE) report II. American Statistical Association. https://www.amstat.org/asa/files/pdfs/GAISE/GAISEIIPreK-12_Full.pdf

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1. Mathematics teaching, learning, and assessment in the digital age;ZDM – Mathematics Education;2024-07-10

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