The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
How Students Learn Statistics Revisited: A Current Review of Research on Teaching and Learning Statistics
Abstract
Summary: This paper provides an overview of current research on teaching and learning statistics, summarizing studies that have been conducted by researchers from different disciplines and focused on students at all levels. The review is organized by general research questions addressed, and suggests what can be learned from the results of each of these questions. The implications of the research are described in terms of eight principles for learning statistics from Garfield (1995) which are revisited in the light of results from current studies.
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Citations
Cites
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Cited by
Helping Doctors and Patients Make Sense of Health Statistics
Gigerenzer, G., Gaissmaier, W., Kurz-Milcke, E., Schwartz, L. M., & Woloshin, S. (2007) · Psychological Science in the Public Interest · doi:10.1111/j.1539-6053.2008.00033.x · Cited by 1,336
Legaki, N.-Z., Xi, N., Hamari, J., Karpouzis, K., & Assimakopoulos, V. (2020) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2020.102496 · Cited by 328
Cai, S., Liu, E., Yang, Y., & Liang, J. (2019) · British Journal of Educational Technology · doi:10.1111/bjet.12718 · Cited by 156
Conceptual difficulties when interpreting histograms: A review
Boels, L., Bakker, A., Van Dooren, W., & Drijvers, P. (2019) · Educational Research Review · doi:10.1016/j.edurev.2019.100291 · Cited by 47
Metadata
- Authors
- Garfield, J., & Ben‐Zvi, D.
- Venue
- International Statistical Review
- Publisher
- Wiley
- Published
- 2007-12
- Volume
- 75
- Issue
- 3
- Pages
- 372-396
- ISSN
- 0306-7734 (ISSN-L)
- 1751-5823
- OpenAlex
- W2119829842
- Cited by
- 549
- References
- 85
- FWCI
- 14.11
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
