A major part of architectural design exploration is physical prototyping. It is when you can get much clear insight of the abstract thought and inspect the idea through different lenses, most often the three fundamentals of building outlined by Vitruvius: Firmatis or robustness and durability, Utilitas or the functionality and Venustas, aesthetical aspects: how building should delight the users and raise their spirits. Although you would explore that idea in a 3D modeling tool or by sketching, the understanding you get from a real prototype holds more intuitive information, even if it is a scaled one. You would face the multi-dimensionality of the design, the constraints and opportunities, and the fact that you need knowledge or contribution from other domains like material science and engineering.
Besides, each architectural project in a design studio is usually site-specific. That would map various forces into the design, including directionality, climatic features, adjacencies, etc. All would define and frame the project within a particular array of solutions. Along with that and more than built projects, thousands of projects are not built; yet, they expanded the imagination, creativity, research borders and offered new insights into the field due to their uncontextualized concerns. The abstraction layer of such questions has afforded opportunities for unbiased thinking that might aid emerging novel solutions or more intriguing questions.
Given this analogy, I think case-based learning can clarify a subject by often simplifying and, in some cases, reducing it to specific circumstances. It reveals the nature of real-life problems requiring multivariate and multidisciplinary thinking, analyzing and synthesizing, and dealing with more complexity and high dimensionality. This approach needs to be accompanied by theorizing and abstraction to provide creativity, imagination, and interpretation opportunities. Going back and forth from deductive to inductive methods can extend the cognition and enable it for theoretical and empirical learning.