Analysis of student data indicates, according to one definition of learning styles, that global learners respond more favorably to an online, open-ended learning environment than sequential learners. Industrial engineering students were observed before, during, and after engagement in an online forecasting module. Simple ordered logistic regression models of attitudes were found to be consistent functions of the extent to which students are considered to be global versus sequential learners. Furthermore, significance can be observed even when controlling for additional factors such as gender, other learning style dichotomies, preliminary confidence about forecasting knowledge, and problem solving performance.
Sponsor: CELDi Research Team: Scott J. Mason Universities Involved: University of Oklahoma Start Date: 11/15/03 End Date: 12/31/04 Summary: This research focuses on Supply/Value Chain “Best Practices” investigation and documentation after a segmentation of the topic into the following areas; supplier relations, transportation, inventory management, warehousing/distribution, customer relations, information technologies. […]