This knowledge area covers the learning engineering process, a structured, iterative approach to designing and refining effective learning solutions, emphasizing data-driven decision-making, continuous improvement, and responsiveness to learner needs. This knowledge area describes the core phases of the process—problem identification (Challenge), needs assessment (Investigation), design and development (Creation), and implementation (Implementation)—as outlined in the Learning Engineering Toolkit (Goodell & Kolodner, 2022). By continuously collecting and analyzing data, and integrating feedback loops, learning engineers ensure that learning solutions evolve and adapt to optimize learner outcomes and meet educational goals.