This paper is from Session 9C: Using R for effective teaching of Statistics
which comes under Topic 9: Technology and multimedia in statistics education
Paper 9C3 (Tuesday 10th, 14:00-15:30)
Modeling First: A Modeling Approach To Teaching Introductory Statistics
Presenter
- James Stigler (University of California, Los Angeles, United States)
Co-author
- Ji Son (California State University, Los Angeles, United States)
Abstract
Students of introductory statistics gain some knowledge of a large assortment of concepts and statistical tests, yet often fail to comprehend the core concepts that link these concepts and procedures together. In order to give students a more coherent view of the field, and thus a more flexible understanding of statistics that can be applied appropriately across a number of situations, we set out to teach the introductory course as modeling, subjugating all other concepts and skills to the General Linear Model. In this paper we report on the design of the course, and on our initial experiences in trying to implement the course with students.