- Rapid Prototyping: A quick creation of prototypes to test concepts, gather feedback, and refine learning solutions.
- Reflective Practice: The habit of continually evaluating one's own experiences and actions to improve future performance.
- Reinforcement Learning (RL): A branch of machine learning where an autonomous agent learns to make decisions by performing actions within an environment to maximize a cumulative reward. Unlike supervised learning, where the model is given the "right answer" (labels), an RL agent learns through trial and error. It receives feedback in the form of rewards (positive) or penalties (negative) and must figure out which sequence of actions leads to the best long-term outcome. RL techniques may be used in adaptive instructional systems where the system continuously learns from interactions to optimize content and conditions for future learner outcomes.
- Retrieval Practice: A learning strategy where actively recalling information improves long-term retention more effectively than passive review.