TOWARDS A SUITABLY DESIGNED INSTRUCTION ON STATISTICAL REASONING: UNDERSTANDING SAMPLING DISTRIBUTION WITH TECHNOLOGY

Authors: 
Djordje Kadijevich, Vlasta Kokol-Voljc and Zsolt Lavicza
Type: 
Proceedings
Pages: 
online
Year: 
2008
Publisher: 
Proceedings from the joint ICMI/IASE Study Statistics in School Mathematics.<br>Challenges for Teaching and Teacher Education
URL: 
http://www.ugr.es/~icmi/iase_study/Files/Contents.htm
Abstract: 

Earlier studies on sampling distribution, its founding concepts, misconceptions about sampling distributions, and the use of simulation highlighted that (1) learning of statistics requires an understanding of multifaceted issues and relations among them; (2) learning may be examined in terms of task, technique, theory, and learner's profile, each of which is influenced by instructional context; and (3) learning environments should be designed to stimulate flexible travelling along the network of these issues. Considering these emerging findings we attempt to outline a possible instructional design to teach sampling distribution with technology. Suggestions for training teachers in statistics education are included.

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