This is a session of Topic 7: Technology in Statistics education Full topic list
(Tuesday 4th, 16:00-18:00)
The role of simulations in Statistics education
Organiser
Abstract
Effective teaching of statistics actively engages students with processes: question formation, experimental design, data gathering and manipulation, data analysis, inference, and decision making. Simulations afford opportunities for active engagement that allows for repeated practice, visualization, concretization of the hypothetical, variation of parameters, experimentation with alternative methods, and/or use of repeated sampling techniques. Computer simulations are particularly attractive in the statistics classroom to the extent that they lower mechanical overhead and increase flexibility and realism.
Questions abound. What are paradigmatic examples of the use of simulations in teaching statistics, and to what extent do we know whether and why they “work”? Can we illustrate ways in which simulations can take advantage of new technologies to be even more effective as teaching tools? In what ways can simulations involve students working cooperatively, or extend beyond classroom boundaries to allow large scale cooperation?
Papers
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