The challenge of developing statistical literacy, reasoning and thinking
By Dani Ben-Zvi, Joan Garfield. 2004
596 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ee374e607e414b964f10e91a2675670b17fbfa53
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Dani Ben-Zvi
- K. Makar
- Arthur Bakker
- Jere Confrey
- Sibel Kazak
- Fiona Fidler
- Joan Garfield
- Geoff Cumming
Citations in the corpus
- How Students Learn Statistics Revisited: A Current Review of Research on Teaching and Learning Statistics (2007, background): “These arguments challenge statisticians and statistics educators to carefully define the unique characteristics of statistics, and in particular, the distinctions between statistical literacy, reasoning and thinking (Ben-Zvi & Garfield, 2004).”
- A Thirty-Year Reflection on Constructivism in Mathematics Education in Pme (2006, methodology): “For instance, statistics is a relatively new curricular area in which the new content and approaches to data analysis in statistics education develop as the field of statistics changes with the new techniques of data exploration and data analysis tools (Ben-Zvi & Garfield, 2004; Biehler, 2001).”
- Learning to reason from samples (2015, unknown): “…special issues of statistics and mathematics education journals: reasoning about variability in Statistical Education Research Journal (SERJ) (Ben-Zvi & Garfield, 2004a, b, c; Garfield & Ben-Zvi, 2005); reasoning about distribution in SERJ (Pfannkuch & Reading, 2006); informal inferential…”
- STUDENTS’ PERCEPTIONS OF STATISTICS: AN EXPLORATION OF ATTITUDES, CONCEPTUALIZATIONS, AND CONTENT KNOWLEDGE OF STATISTICS (2012, background): “Ben-Zvi and Garfield (2004) defined statistical thinking as " understanding of why and how statistical investigations are conducted… when and how to use appropriate methods of data analysis such as numerical summaries and visual displays of data " (p. 7).”
- What Does Research Suggest About the Teaching and Learning of Introductory Statistics at the College Level? A Review of the Literature (2008, background): “Researchers have found that use of specific technology tools can help illuminate difficulties in understanding particular concepts such as sampling distributions (Chance, delMas and Garfield, 2004) and standard deviation (delMas and Liu, 2005).”
- Statistical Education in the 21st Century: A Review of Challenges, Teaching Innovations and Strategies for Reform (2012, background): “There is a growing recognition of the importance of statistical literacy across different aspects of our daily lives and in the past few years statistics educators have emphasised the place of statistical literacy in statistics education reforms (see e.g. Gal, 2002; Ben-Zvi and Garfield, 2004).”
- REASONING ABOUT SHAPE AS A PATTERN IN VARIABILITY (2004, background): “Apart from physical experimentation, mental experimentation is important, for instance when answering questions about hypothetical situations (Bakker & Gravemeijer, 2004).”
- A FRAMEWORK FOR THINKING ABOUT INFORMAL STATISTICAL INFERENCE (2009, background): “Bakker and his colleagues (Bakker & Gravemeijer, 2004) have argued that by focusing on shape, students are able to shift their attention on holistic aspects of distributions.”