MeaningCloud for child development assessment
Digital Humanities Committee Seed Grant, Seton Hall University
In Dr. Singleton's lab they study typically developing children, children with language delay and children who have feeding disorders. In one of her studies they examined caregiver stress and attitude as reflected in their talk across the course of feeding evaluation. In this proposed MeaningCloud project Dr. Singleton will analyze whether caregiver talk varies over time as a reflection of stress and attitude about a child's development and behavior. This analysis will provide validation of the previous study.
Brief Project Description: The main aim of this MeaningCloud project is to identify whether caregiver talk varies over time as a reflection of stress and attitude about their child’s development and behavior. Through this research program, students use MeaningCloud to analyze various language variables from transcripts of caregiver-child-clinician interactions during clinical feeding evaluations. For the purpose of this pilot study the variable “over time” refers to 3 phases of evaluation. Students transcribe samples of video recorded interactions to determine the parameters required by MeaningCloud to apply analyses (e.g., length of sample, format of sample, visualization of results). Students then participate in the MeaningCloud analyses and interpretation of the data. The secondary aim of the project is to explore the feasibility for teaching graduate students of speech-language pathology to use MeaningCloud in GMSL6522, Early Intervention. Graduate clinicians could benefit from learning MeaningCloud to document changes in caregiver stress and attitude (i.e., as reflected in their talk) as children make parallel improvements with a variety of interventions over (developmental) time.
Singleton, Nina Capone, "MeaningCloud for child development assessment" (2017). Digital Humanities. 24.
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