ASSESSING STUDENT LEARNING IN FIRST-YEAR QUANTITATIVE COURSES<br>AT BABSON COLLEGE: EXPERIMENTAL DESIGN


Authors: 
RYBOLT, William H. and MCKENZIE Jr., John D.
Pages: 
online
Year: 
2007
Publisher: 
Proceedings of IASE satellite conference
URL: 
http://www.swinburne.edu.au/lss/statistics/
Abstract: 

From 2001-2006 we used a number of approaches to assess how well our first-year students learn<br>statistics and mathematics when introduced to different teaching methods. The topics introduced in<br>their two courses include those found in a standard applied probability and statistics course. For<br>example, descriptive linear regression. Most of these assessments have been based upon analyses of<br>opinions and examination results from the students. This paper reports on designing experiments to<br>determine whether electronic quizzes enhance student learning. A second paper presents the<br>implementation of these experiments and a preliminary analysis of the data from these experiments.

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

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