SPEAKER: Carl Lee, Department of Mathematics, Central Michigan University, Mt. Pleasant, Michigan
TITLE: Motivation and Active Learning in Introductory Statistics
ABSTRACT:
In this talk, I will examine students' motivations in introductory statistics
courses and propose a framework for developing an active learning environment.
An interview study was conducted to investigate student motivations and
expectations. The study was conducted in four different types of
institutions. Interviews were conducted two to three months after
completing an introductory statistics course. Interviewees were chosen
to represent the grade distribution by selecting three students from each
grade level of A, B, and C or lower. Students' motivations are analyzed
and classified into five types based on the existing motivation theories.
Four scenarios that commonly occur in introductory statistics are analyzed
using existing motivation frameworks. It is suggested that learning
goals, instructor's expectation of students, and instructor's caring for
students' learning progress are important strategies for motivations.
Based on the observation, a framework is proposed for developing an active
learning environment that may help to motivate and engage students in the
process of learning in an introductory statistics course.
COFFEE: 3:45 p.m., 104 Snedecor Hall
* This seminar is funded by the Center for Teaching Excellence at Iowa
State University