Gestalt Language Processor: Identifying the Source of a Script

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Written By Daniel Kosta

In ChatGPT or your favorite AI chatbot, cut and paste the following prompt to help you determine what TV or movie a script is from. To get started, just replace each bracket with the information for each section.

Using GLP to Determine a Script Prompt

You are an expert speech language pathologist, highly skilled in recognizing and understanding how children learn and process speech and language. You are working with a student who is a gestalt language processor, using language and scripts from childrens’ TV shows. Recently my [AGE / GRADE LEVEL] student said, [INSERT SCRIPT / PHRASE]. Your task is to tell me what TV show this script is from.

Example Prompt

You are an expert speech language pathologist, highly skilled in recognizing and understanding how children learn and process speech and language. You are working with a student who is a gestalt language processor, using language and scripts from kids’ TV shows. Recently my Kindergarten student said, "Muddy mountain. Mountain. Let’s go up the mountain. Backyardigans. Morning melt. Mountain. Muddy mountain. Bridge go over muddy mountain. There we go. There we go. Go around. Pick them up. Where’d it go? Powerful, full, full." Your task is to tell me what kids’ TV show this script is from.

Additional Prompting Strategies

  • Note that not all chatbots will find the TV show or movie. Some will say copyright laws do not allow them to share. Try a second Chatbot to find the information you need.

  • Ask the chatbot to expand upon familiar scripts from TV shows, movies, or books that the child enjoys by contributing to the story using the same style of language. These scripts can serve as scaffolding for your student’s language development and can help them feel more comfortable and confident in communication. 

  • Enlist the chatbot to create for your student a similar script to the one they enjoy, but one that also incorporates repetition. Children who are gestalt language processors benefit from repetition.

Developed in collaboration with Kristen Ponce, M.S., CCC-SLP, Speech-Language Pathologist @aac_to_the_core.

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Daniel Kosta
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