Engaging Students in a Large Lecture: An Experiment using Sudoku Puzzles


Authors: 
Caroline Brophy and Lukas Hahn
Year: 
2013
URL: 
http://ww2.amstat.org/publications/jse/v22n1/brophy.pdf
Abstract: 

In this paper, we describe an in-class experiment that is easy to implement with large groups of
students. The experiment takes approximately 15-20 minutes to run and involves each student
completing one of four types of Sudoku puzzles and recording the time it takes to completion.
The resulting data set can be used as a teaching tool at an introductory level right through to an
advanced level of statistics. Basic methods for describing and displaying data as well as the
intricacies that arise with real data may be discussed in an introductory course. The range of
more sophisticated analyses that can be taught with the data set include chi-squared tests for
independence, ANOVA, t- and F-tests, logistic regression and survival analysis. We describe and
provide the tools to implement the experiment and illustrate several potential teaching topics
using a collected data set.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education

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