Reducing high attrition rate in a business statistics course using an interpretive approach encompassing diverse teaching and learning styles: Working paper series--03-11

Abstract

An interpretive-learner-centered approach is implemented to improve students learning and address the issue of high attrition rate for a business statistics course. It focuses on the interpretation and implications of statistical results through real business problems and data while the mechanical steps of computation via formulae are relegated to the background. The philosophy that "students are responsible for their education" is embraced; thus, a mastery approach to learning was adopted utilizing pre-lecture, post-lecture and lab web quizzes all with multiple attempts allowed. Cooperative learning serves as a common thread in the design through the use of teams in lectures, labs and on two team projects. The projects result in business reports where all statistical jargon is translated into everyday language. Results from data collected on students learning style, pre and post assessments indicate a significant reduction in attrition rate and improved student learning