Designing Adaptive Learning Environments with Learning Design

Contemporary learning theory suggests that individual learners differ in the way they learn and that learning must be tailored to the individual learner. Consequently, learning environments must have the flexibility to adapt themselves for the individual learner. This chapter has discussed several different learner-characteristic, driven adaptive learning strategies and how these strategies can be completely implemented within the constraints of the existing LD specification. Adaptive strategies discussed include 1) Synchronous vs. Asynchronous, 2) Rule-Example vs. Example-Rule, and 3) Feedback adaptation. This chapter has also detailed some of the ways in which implementing adaptive strategies entirely within LD can prove insufficient, and suggested one way around these problems.