Controlling the Instructional Structure in Generative AI Learning Evaluation Experiments
This commentary proposes a four-phase framework (Establish Relevance, Technical Details, Intuition, and Practice) for aligning the instructional structure of learning evaluation experiments, and examines how the probabilistic nature of large language models complicates, without invalidating, structural control in GenAI research.