The lack of flexibility in the ADDIE model can lead to several implications. It can make the model rigid and linear, which means it has to be followed in a set order. This can make it difficult to adapt to changes or unexpected circumstances that arise during the learning process. It can also be time-consuming and costly, as it may require more resources to follow the model strictly. Furthermore, the lack of flexibility does not lend itself to iterative design, which can limit the potential for continuous improvement and innovation in the learning process.
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There are many advantages to ADDIE. ADDIE is commonly used, proven to be effective for learning, and widely accepted. It's also a key foundation for most other learning models, and is easy to measure in terms of time spent and associated cost. The disadvantages are that the model can be rigid and linear since its original intent was meant to be followed in a set order. It can also be time-consuming, costly, and doesn't lend itself to iterative design because it's not as flexible to adapt to changes. (Slide 3)
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