The Best of Both Worlds: A Hybrid Statistics Course


Book: 
Journal of Statistics Education
Authors: 
Ward, B.
Category: 
Volume: 
12(3)
Pages: 
Online
Year: 
2004
URL: 
http://www.amstat.org/publications/jse/v12n3/ward.html
Abstract: 

This study compares students' performance and attitudes in a hybrid (blend of online and face-to-face) model of Elementary Statistics and a traditional (face-to-face) model of the same course. Performance was measured by test, quiz, project, and final exam grades. Attitude was measured by the results of a course survey administered at the end of the semester. Both models of the course required the same textbook and statistical computer package, were taught by the same instructor, and had similar demographic characteristics such as gender, major, and classification. Significant differences were found in an extra credit grade comprised of points earned on interactive worksheets, and attitudes toward the course. There was no significant difference in students' performance as measured by grades. The value of hybrid courses as a viable option in distance education and their potential benefits to students and the educational institution are discussed.

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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