10th International
Conference on
Teaching Statistics
8 – 13 July 2018
Kyoto, Japan
Full topic list
This is a session of Topic 3: Statistics education at the post-secondary level


Session 3H (Monday 9th, 16:00-17:30,   Level 3 - Conference Room C)

Distributions to spatial statistics: New approaches to teaching statistic


Organizer


Abstract

Many students struggle with key statistical concepts and with seeing the connections to their own lives. Traditional lecture does not appear to be the most effective approach for many students. In this session, the speakers explore new approaches to teaching statistics at the undergraduate, graduate, and post-graduate levels with the common goal of improving students’ conceptual understanding. The approaches range from helping students learn through induced errors, cognitive dissonance, creation of casual explanations, and focusing on the analysis of scientific problems. They will address questions such as: Can you induce students to make a mistake and use this as a teaching strategy to help them better understand statistical concepts? How can you use public health issues to explain concepts such as spatial correlation and predictive distribution? What if we focused on a causal explanation approach to help students understand the relationship between sampling variability and sample size? The speakers will discuss their curriculum design, proposed learning trajectories, and what they have learned from qualitative and quantitative examination of their students.


Papers

PaperTitlePresenter / Co-author(s)
3H1Developing students’ causal understanding of sampling variability: A design research studyEthan Brown (United States)
Robert delMas (United States)
3H2Learning through Induced Errors: A Garden-path Approach to Introductory StatisticsJohn Blake (Japan)
3H3Using a problem-driven approach for teaching statistics at the African Institute for Mathematical SciencesEmanuele Giorgi (United Kingdom)