Designing courses by incorporating student preferences should make the curriculum more relevant and highly satisfying to students. Student preferences can be measured and incorporated into course design using conjoint analysis. As an illustration, the authors designed an appropriate course for M.B.A.-level multivariate analysis. Five attributes were considered for this purpose: course content, level of mathematical and statistical sophistication, student career orientation, level of computer application, and class format.
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