Which type of task analysis is used when teaching multiple tasks that involve a high variability of steps?

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When teaching multiple tasks that involve a high variability of steps, total task chaining is the most suitable approach. This method involves breaking down a task into its individual steps and teaching the entire sequence in one session. It allows for the simultaneous practice of all steps, which is particularly beneficial when tasks do not follow a linear sequence or when the steps may change from one instance to another.

Utilizing total task chaining means that the learner receives immediate feedback on each step throughout the performance of the entire task. This helps to enhance the learner’s understanding and retention of the task as a whole, accommodating the variation present in tasks. This approach is often employed in complex skills where a learner can benefit from performing all parts of a task together, rather than sequentially focusing on one part at a time.

In contrast, forward chaining and backward chaining techniques focus on teaching specific parts of a task sequentially, which may not be as effective in situations where the sequence or the context of the steps varies significantly. Therefore, in scenarios with a lot of variability, total task chaining stands out as the most effective method for fostering skill acquisition.

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