Successive Approximation Model (SAM)

From Canonica AI

Introduction

The Successive Approximation Model (SAM) is a modern, flexible, and iterative approach to instructional design. It is an alternative to the traditional ADDIE model, which is a linear and rigid process. SAM was developed by Michael Allen, a pioneer in the e-learning industry, to address the limitations of the ADDIE model. The SAM model is designed to meet the rapidly changing needs of the learning and development industry.

A visual representation of the Successive Approximation Model (SAM) showing its iterative process.
A visual representation of the Successive Approximation Model (SAM) showing its iterative process.

Overview of SAM

SAM is characterized by its iterative, agile, and collaborative approach. It consists of three main phases: the Preparation phase, the Iterative Design phase, and the Iterative Development phase. Each phase is repeated as many times as necessary until the desired learning outcome is achieved. This iterative process allows for continuous improvement and adaptation, making SAM a flexible and efficient model for instructional design.

Preparation Phase

The Preparation phase is the initial stage of the SAM model. This phase involves gathering information about the project, including the learning objectives, target audience, and available resources. The Preparation phase also involves identifying potential challenges and constraints that may affect the project. This information is then used to create a project plan, which outlines the scope, timeline, and resources needed for the project.

Iterative Design Phase

The Iterative Design phase is the second stage of the SAM model. This phase involves creating a prototype of the learning solution, which is then tested and reviewed by stakeholders. The feedback received is used to refine and improve the prototype. This iterative process continues until the prototype meets the learning objectives and satisfies the stakeholders.

Iterative Development Phase

The Iterative Development phase is the final stage of the SAM model. This phase involves developing the final learning solution based on the approved prototype. The learning solution is then implemented and evaluated to ensure it meets the learning objectives. Any necessary adjustments are made based on the evaluation results. This iterative process continues until the learning solution is effective and efficient.

Benefits of SAM

The SAM model offers several benefits over traditional instructional design models. Its iterative approach allows for continuous improvement and adaptation, making it a flexible and efficient model. SAM also promotes collaboration and involvement of stakeholders throughout the design process, ensuring that the learning solution meets the needs of the learners. Additionally, SAM allows for rapid development and implementation of learning solutions, making it a suitable model for the fast-paced learning and development industry.

Limitations of SAM

Despite its benefits, the SAM model also has some limitations. Its iterative process can be time-consuming and resource-intensive, making it less suitable for projects with tight deadlines or limited resources. SAM also requires active involvement of stakeholders throughout the design process, which may not always be feasible. Furthermore, the success of the SAM model depends on the skills and expertise of the instructional designer, making it less effective in the hands of inexperienced designers.

Conclusion

The Successive Approximation Model (SAM) is a powerful tool for instructional design. Its iterative, agile, and collaborative approach allows for the development of effective and efficient learning solutions. However, like any model, SAM has its limitations and may not be suitable for all projects. Therefore, instructional designers should carefully consider the needs and constraints of their projects before choosing a design model.

See Also