The changing nature of education has forced educators to rethink the role of classrooms in student learning. Prior research has shown that the environmental and structural design of education centers impact student learning. With a dozen variables to deal with, classroom designers are faced with the daunting task of selecting one plan from the thousands that are possible. This paper demonstrates how tradespace exploration (TSE), an analytical methodology used by NASA and the DoD to design spacecraft and other complex systems, can be applied to the design of classrooms. To demonstrate the TSE methodology, a predictive model was built based on historical data collected by prior researchers on third and fifth grader test performance and data along 86 descriptive variables that they used to characterize the school and classrooms. An analysis of main effects using a multi-way ANOVA allowed the larger data set to be reduced to 8 composite independent variables that are predictive of student tests scores. This model was then used to generate thousands of possible school and classroom design permutations and predict the resulting student test scores. This allowed the authors to identify the Pareto frontier of designs that yield the greatest benefits for a given investment. The case study described in this paper demonstrates how this approach could be applied to enable decision-makers to identify a more effective allocation of resources or determine when changes in total investment are likely to have a significant impact on desired performance.