Simulation approaches for informal inference: Models to develop understanding

Hollylynne S. Lee (1) , Dung Tran (1) , Jennifer Nickell (1) , Helen Doerr (2)

1 NC State - North Carolina State University [Raleigh]
2 Syracuse University

Simulation approaches to inference have gained prominence in statistics education. In this paper we combine a theoretical analysis of the ways researchers and curriculum developers have represented models of simulation processes with an empirical analysis of the ways teachers represent models of the process they believe would be helpful to students. Our results cumulate in suggestions for a more explicit framework for using a simulation approach to inference.

Mots clés: Teachers; modelling; technology; informal inference

Domaines: Education; Histoire et perspectives sur les mathématiques [math.HO]

Hollylynne S. Lee, Dung Tran, Jennifer Nickell, Helen Doerr. Simulation approaches for informal inference: Models to develop understanding. CERME 9 - Ninth Congress of the European Society for Research in Mathematics Education, Charles University in Prague, Faculty of Education; ERME, Feb 2015, Prague, Czech Republic. pp.707-714. ⟨hal-01287093⟩