What is a primary distinction of the Successive Approximation Model (SAM) compared to the ADDIE approach?

The Successive Approximation Model (SAM) is characterized by its iterative nature, which is its primary distinction from the more linear ADDIE approach. In SAM, the design process involves going through the phases of design and development in cycles, allowing for continuous refinement based on feedback and testing. This iterative process enables designers to make adjustments and improvements based on real-time data and stakeholder input, ultimately leading to a more effective and responsive learning experience.

In contrast, the ADDIE model follows a more sequential path where each phase—Analysis, Design, Development, Implementation, and Evaluation—is typically completed before moving on to the next. While feedback can be incorporated, the linear structure of ADDIE often results in less flexibility to adapt to changes as they arise during the development process compared to the iterative nature of SAM.

This distinction highlights how SAM’s focus on iteration and ongoing assessment can lead to more dynamic and responsive design practices, making it particularly well-suited to complex and evolving learning environments.