Assessment to identify learner‐specific prompt and prompt‐fading procedures for children with autism spectrum disorder

Schnell et al. (2020) ran a quick test to see which prompt style each child learned fastest with. They worked with kids with autism and tried different prompt types and fading plans. The whole learner assessment took about five minutes.

After the mini-test, the team picked the prompt that won for that child and used it to teach new tasks. They tracked how fast each kid reached mastery.

Every single child hit mastery fastest with least-to-most prompt fading, no matter which prompt type had looked best in the five-minute screen. The quick screen still helped by showing which prompt to use, but the fading direction stayed the same.

In plain words: assess if you want, but starting small and adding help only when needed is the clear winner.

The result lines up with Leaf et al. (2016) and Robertson et al. (2014), who also saw least-to-most prompting win for kids with autism. Roncati et al. (2019) adds a twist: kids move faster with the prompt they have seen most often. Because least-to-most is common in classrooms, kids may already be primed for it.

Bacon et al. (1998) looked at adults with ID and found the opposite—most-to-least worked better for chores. That sounds like a clash, but the tasks were different. Schnell’s kids learned play and language tasks, not lunch-making. Task type, not just diagnosis, seems to steer the best fading plan.

Arthur et al. (2024) jumps one step ahead. They now train staff to switch fading plans on the fly. The 2020 paper tells you what to pick; the 2024 paper shows how to teach your team to do it well.

You can save time and skip long prompt comparisons. Run a five-minute probe if you like data, or simply start with least-to-most fading and watch the learner. Either way, you are using the method that worked for every kid in this study. Pair that with Arthur’s new staff-training package and your RBTs will know when to stay small-to-big and when to pivot.