JSM 2004 - Toronto

Abstract #301769

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Activity Number: 280
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Education
Abstract - #301769
Title: Maximizing Learning of Statistics in Distance Courses
Author(s): Steven M. LaLonde*+
Companies: Rochester Institute of Technology
Address: 98 Lomb Memorial Dr., Rochester, NY, 14623-5604,
Keywords: distance ; online ; education ; evaluation ; graduate ; applied
Abstract:

The Center for Quality and Applied Statistics at the Rochester Institute of Technology has long been known for producing applied statisticians that have an immediate impact on their company's research and manufacturing quality goals. In years past, many of the part-time graduate students were full-time employees at companies such as Kodak and Xerox, but changes in local employment situation have required the Center to look elsewhere for students. The Center has responded by accepting more full-time students and by offering the master's degree program in distance format. Enrollment in distance sections of courses now represents over half of the course hour equivalents. This paper illustrates some of the ways in which distance learning is maximized with sychronous and asynchronous discussions, team projects, courseware, and professionally prepared lectures delivered on tape and CD. Evaluation in the distance format is also addressed with a discussion of take home tests, proctored tests, projects, and grading for participation in discussions.

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Revised March 2004