This paper is from Session 3E: Learning to teach data-based statistics at school and tertiary level

which comes under Topic 3: Learning to teach statistics

Other papers under session 3E ... 3E1: Towards evaluation criteria for coherence of a data-based statistics... 3E2: Some issues of data production in teaching statistics

(Monday 12th, 11:00-12:30)

Models of teacher preparation designed around the GAISE Framework

Presenter

• Christine Franklin (University of Georgia, United States)

Co-author

• Gary Kader (Appalachian State University, United States)

Abstract

Statistical literacy is a must have competency for any citizenry to thrive in an information rich society. Sound statistical reasoning skills take time to develop and cannot be honed in a single general-purpose statistics course. To acquire proficiency in statistics foundational concepts should be introduced and nurtured in the elementary grades, and strengthened and expanded throughout the middle, high school and post-secondary grades. In this paper, examples will be presented that illustrate developmental learning trajectories for statistical concepts as proposed in the American Statistical Association’s Guidelines for Assessment and Instruction in Statistics Education (GAISE) Report: A Pre-K-12 Curriculum Framework (2007). The GAISE Report describes a cohesive and coherent framework for statistical education at Grades PreK-12 in the United States. Models of teacher preparation that integrate both the content and pedagogical knowledge as proposed in the GAISE Framework will be described.

Other papers under session 3E ... 3E1: Towards evaluation criteria for coherence of a data-based statistics... 3E2: Some issues of data production in teaching statistics