exemplardriven
Exemplardriven is an adjective used to describe approaches that rely on exemplars—concrete, representative instances—as the primary driving inputs for decisions, design choices, assessments, or learning processes. The term is used across domains but is not a standardized technical term; its precise meaning varies by context.
In software and product development, exemplardriven design refers to a practice where real-world examples, case studies,
In education and training, exemplar-driven or case-based learning uses rich examples to stimulate problem solving and
In data science and artificial intelligence, exemplar-based methods rely on a memory of labeled exemplars; classification
Advantages of exemplardriven approaches include concreteness, context-rich guidance, and rapid iteration. Drawbacks involve bias toward available