I

Implementation: The phase of the learning engineering process involving deploying a solution and collecting data to inform future iterations.

Inference Modeling: Drawing conclusions about learner characteristics, such as motivation or skill mastery, based on observed data.

Instructional Design (ID): The practice of creating learning experiences to support long term learning. It's a systems approach to analyzing, designing, developing, implementing, and evaluating any instructional experience. (ATD)

Iterative Design: A cyclic process of prototyping, testing, analyzing, and refining a learning solution to continuously improve experiences based on feedback and data.