Inter-Disciplinary Project Using the Taxonomy of Significant Learning
Professors from the University of Oklahoma in Engineering, Geosciences, and Meteorology recently created a set of inter-disciplinary courses that (a) taught computer engineers about the applications of their computer programs and (b) taught students in the geosciences and meteorology about the data collection and computer processing behind the data they use in their professions. When creating these courses, they used the Taxonomy of Significant Learning to formulate their learning goals. They also emphasized active learning with numerous hands-on exercises for the five main themes of the program: data collection, data processing, data display, data interpretation, and radar system design.
Source: The August 2010 issue (Vol. 53, No. 3) of IEEE Transactions on Education, pp. 504-515.