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Successive Approximation Model (SAM)

SAM Overview

“Rapid prototyping has gained traction within Instructional Design as a response to the limiting factors of ADDIE.” (Herrholz, 2020). The Successive Approximation Model (SAM) is one of these rapid prototyping models. Is is a recursive model that is designed for responsiveness and speed. Working models of portions of the learning experience are created quickly and feedback is requested and incorporated early on. (Successive Approximation Model (SAM), n.d.) This type of process creates flexible learning experiences.

SAM Implications for Instructional Design

Preparation Phase

In the Preparation Phrase, information is gathered. The target audience is studied and existing resources are surveyed. The scope and goals (especially noting the most important coals) are determined, and a high-level course framework is constructed. At the end of this phase, a mulit-stakeholders brainstorming session is done to kickstart the design stage.

Iterative Design Phase

IDs make a draft of the structure and strategies, as well as rough course material to be used in the course. Different experts may be responsible for different pieces here (Herrholtz, 2020). Stakeholders provide feedback. The draft is refined. This process repeats until a relative level of agreement at to what the structure and strategies are to be is achieved.  

Iterative Development Phase

Based upon was created and any insights from stakeholders gained in the design phase the instructional materials are refined or created, And a complete prototype is finished, evaluated, and revised. The revised version is implemented (perhaps to a small group) and evaluated. Feedback from the evaluation is used to improve the instructional materials. The improved learning experience is implemented and evaluated. Evaluation of the course should happen regularly even after the course is “finished” being developed to make sure it stays relevant and engaging.

“Whatever you create is almost always ideal as long as you pay attention to detail and listen to feedback.” (Pappas, C, 2024) This strong statement shows how important it is to deliberate everything and to incorporate feedback.

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It may be difficult for Instructional Designers (IDs) to grasp that so many testing and evaluation phases are necessary. This iteration is what makes SAM so good at effectively meeting learning objectives. It may be tempting to short circuit the process to meet a deadline, but this would not take full advantage of SAM (Pappas, C., 2021).

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Because of this non-linear nature, SAM may be difficult for newer instructional designers to grasp.  

IDs need to be involved many stakeholders early and often. SAM advocates see the benefit in identifying problems early. This can save time and money by not having parts of the learning experience that are developed using or as an extension of a faulty design that happened early (Pappas, C., 2021).

Strengths and Limitations of SAM in Higher Education (Opinion)

In higher education courses tend to be long and complex. Havin a complete outline early, as is the case with SAM, may help keep a focus on the overall learning goals and how things fit together. With other models, you may be more likely to get lost in the details.

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For some courses in higher education, the responsiveness of the SAM model could be a huge benefit. Some courses are based on concepts about which not much, if any, new knowledge is being created. As such revisions to the course may not need to be as frequent. I think this mindset probably permeates instructional design in academia to some extent whether it is warranted or not. SAM could promote frequent course revisions when they are called for.

 

 

One limitation is that there may be a lack of cohesion in the learning experience. This can come from including many stakeholders with potentially disparate ideas or from taking smaller chunks of a larger course to refine and incorporating them back into the old course. Because higher education courses are long and complex, this could be more likely to be problematic.

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In higher education it can be a long and slow process to secure funds and new perceived infringements on others’ time may prove even more difficult. As such, the iterative process may be too resource intensive for higher education.

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 One other limitation in higher education is that a course start date may cause the iterative process to be shortened, losing iterations. If the process is not properly planned for or a hiccup happens, the course still has to start when it is scheduled -- and having “something” might seem enough such that urgency may not be put behind the iterations.

Herrholtz, K. (March 6, 2020). Rapid Instructional Design with SAM. Retrieved from https://elearningindustry.com/sam-successive-approximation-model-for-rapid-instructional-design

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Pappas, C. (January 16, 2021). 7 Tips to Implementing the SAM Model in eLearning. Retrieved from https://elearningindustry.com/tips-implement-sam-model-in-elearning

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Pappas, C. (March 9, 2024). SAM Model: An Agile Approach to Instructional Design. Retrieved from https://elearningindustry.com/addie-vs-sam-model-best-for-next-elearning-project(elearningindustry.com)

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Successive Approximation Model (SAM). (n.d.) Retrieved on May 5. 2024) from https://dli.kennesaw.edu/resources/idmodels/sam.php#:~:text=The%20Successive%20Approximation%20Model%20%28SAM%29%20is%20a%20simplified,recursive%20rather%20than%20linear%20process%20for%20course%20development.

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