Journal ArticleDOI
How Students Learn Statistics Revisited: A Current Review of Research on Teaching and Learning Statistics
Joan Garfield,Dani Ben-Zvi +1 more
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The authors provide 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, and suggest what can be learned from the results of each of these questions.Abstract:Â
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.read more
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Helping Doctors and Patients Make Sense of Health Statistics
TL;DR: In this paper, the authors discuss the importance of teaching statistical thinking and transparent representations in primary and secondary education as well as in medical school, and recommend using frequency statements instead of single-event probabilities, absolute risks instead of relative risks, mortality rates instead of survival rates, and natural frequencies instead of conditional probabilities.
Helping doctors and patients make sense of health statistics: towards an evidence-based society
TL;DR: Evidence is provided that statistical illiteracy is common to patients, journalists, and physicians and that information pamphlets, Web sites, leaflets distributed by the pharmaceutical industry, and even medical journals often report evidence in nontransparent forms that suggest big benefits of featured interventions and small harms.
Journal ArticleDOI
Statistical Education in the 21st Century: A Review of Challenges, Teaching Innovations and Strategies for Reform
TL;DR: In this article, the impact of this research has started to change course content and structure, in both course content, structure and course content in both the academic and non-academic domains.
Journal ArticleDOI
Statistics and the Modern Student
TL;DR: The introductory statistics course has traditionally targeted consumers of statistics with the intent of producing a citizenry capable of a critical analysis of basic published statistics, but this approach is predicated on providing data that the students see as real and relevant.
Journal ArticleDOI
Screencast Tutorials Enhance Student Learning of Statistics
TL;DR: Although the use of computer-assisted instruction has rapidly increased, there is little empirical research evaluating these technologies, specifically within the context of teaching statistics as discussed by the authors, which is a concern of ours.
References
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Book
Judgment Under Uncertainty: Heuristics and Biases
Amos Tversky,Daniel Kahneman +1 more
TL;DR: The authors described three heuristics that are employed in making judgements under uncertainty: representativeness, availability of instances or scenarios, and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available.
Book
How people learn: Brain, mind, experience, and school.
TL;DR: New developments in the science of learning as mentioned in this paper overview mind and brain how experts differ from novices how children learn learning and transfer the learning environment curriculum, instruction and commnity effective teaching.
Book
Statistical Methods for Psychology
TL;DR: The Statistical Methods for Psychology as discussed by the authors survey statistical techniques commonly used in the behavioral and social sciences, especially psychology and education, and is suitable for either a one-term or a full-year course, and has been used successfully for both.
Journal ArticleDOI
Judgment Under Uncertainty: Heuristics and Biases.
TL;DR: Three heuristics that are employed in making judgements under uncertainty are described: representativeness, availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development.