Using the Experience Sampling Method to Examine the Details of Dosage in School-Based Speech Sound Therapy

Artificial Intelligence-Assisted Speech Therapy for /ɹ/: A Single-Case Experimental Study

PURPOSE

This feasibility trial describes changes in rhotic production in residual speech sound disorder following ten 40-min sessions including artificial intelligence (AI)-assisted motor-based intervention with ChainingAI, a version of Speech Motor Chaining that predicts clinician perceptual judgment using the PERCEPT-R Classifier (Perceptual Error Rating for the Clinical Evaluation of Phonetic Targets). The primary purpose is to evaluate /ɹ/ productions directly after practice with ChainingAI versus directly before ChainingAI and to evaluate how the overall AI-assisted treatment package may lead to perceptual improvement in /ɹ/ productions compared to a no-treatment baseline phase.

METHOD

Five participants ages 10;7-19;3 (years;months) who were stimulable for /ɹ/ participated in a multiple (no-treatment)-baseline ABA single-case experiment. Prepractice activities were led by a human clinician, and drill-based motor learning practice was automated by ChainingAI. Study outcomes were derived from masked expert listener perceptual ratings of /ɹ/ from treated and untreated utterances recorded during baseline, treatment, and posttreatment sessions.

RESULTS

Listeners perceived significantly more rhoticity in practiced utterances after 30 min of ChainingAI, without a clinician, than directly before ChainingAI. Three of five participants showed significant generalization of /ɹ/ to untreated words during the treatment phase compared to the no-treatment baseline. All five participants demonstrated statistically significant generalization of /ɹ/ to untreated words from pretreatment to posttreatment. PERCEPT-clinician rater agreement (i.e., F1 score) was largely within the range of human-human agreement for four of five participants. Survey data indicated that parents and participants felt hybrid computerized-clinician service delivery could facilitate at-home practice.

CONCLUSIONS

This study provides evidence of participant improvement for /ɹ/ in untreated words in response to an AI-assisted treatment package. The continued development of AI-assisted treatments may someday mitigate barriers precluding access to sufficiently intense speech therapy for individuals with speech sound disorders.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.26662807.

Group Size: An Active Ingredient of School-Based Language Therapy

PURPOSE

This study explored the relation between therapy group size and language outcomes for children receiving school-based language therapy through an implementation science lens.

METHOD

Data for the current study were gathered as part of the Speech-Language Therapy Experiences in Public Schools study. Participants included 273 English-speaking kindergarten through second-grade children with language impairment receiving business-as-usual therapy on the caseloads of 75 speech-language pathologists. Data were collected over an academic year, including weekly therapy logs, speech-language pathology questionnaires, and pre- and post-language measures.

RESULTS

Descriptive analysis revealed that children primarily experienced small-group therapy sessions (two to four children); however, there was considerable variability in group size. Hierarchical general linear modeling indicated that caseload size did not explain group size variability. However, the number of student cancellations was positively associated with receipt of large-group sessions. Notably, a significant negative association was found between receipt of large-group sessions (i.e., five to 10 children) and language outcomes. Children who received more than the average number of sessions in large groups (i.e., more than 5% of total sessions) experienced 0.18 SD less language gain over the academic year compared to the mean (0.54 SD). No other group size configurations (i.e., individual, small group, and extra large) yielded significant associations with language outcomes.

CONCLUSIONS

The findings suggest that young children receiving language-based therapy in large groups make substantially fewer language gains over an academic year. These results have considerable implications for educational policy and clinical practice, which are discussed through an implementation science frame.

Introduction: Innovations in Treatment for Children With Speech Sound Disorders

PURPOSE

There is a clear need for effective and efficient interventions for children with speech sound disorder (SSD) that can be implemented in both clinical and school-based settings.

METHOD

This forum was created for any clinician who treats SSDs. We asked the invited authors to include immediately actionable information, such as therapy activities, tips for goal writing or progress monitoring, assessment processes, and frameworks for conversations with parents.

RESULTS

We have curated nine scientifically based articles that highlight the heterogeneity of SSDs and how various subpopulations require uniquely tailored interventions. Some children with SSDs require treatment approaches that are more heavily embedded in phonological theories (e.g., maximal or multiple oppositions) or that extend beyond speech production and include speech perception and phonological awareness skills. Clinicians also need to be mindful of not only which sounds are affected, but which kinds of errors a child is making. For instance, lateral lisps and residual speech sound errors should be evaluated and treated differently from other kinds of speech sound errors. There are certainly subpopulations of children with SSDs for whom there is extremely limited data upon which speech-language pathologists can base clinical decisions, such as children under the age of 3 years or children who are multilingual. Finally, there is a crucial need to better understand the social-emotional impacts of SSDs. Tools to aid in including social-emotional data within assessment and intervention outcomes are also included in this forum.

CONCLUSION

The traditional articulation approach is the most commonly used approach in school-based settings; however, there are many children for whom this approach is not appropriate. We hope to provide a robust resource for busy school-based speech-language pathologists who treat children with SSD-specifically, we hope clinicians embrace the opportunity to "think outside the box" of traditional articulation therapy.

Speech Sound Disorder Treatment Approaches Used by School-Based Clinicians: An Application of the Experience Sampling Method

PURPOSE

Children with speech sound disorders (SSDs) comprise a large portion of caseloads for school-based speech-language pathologists (SLPs). Despite the existence of several evidence-based SSD intervention approaches, the translation from research to practice is often limited by ecological validity because of various factors unique to school settings (e.g., scheduling constraints, caseload size, child availability). The purpose of this study was to use the experience sampling method (ESM) to examine the current practices of school-based SLPs when treating children with SSDs on their caseloads.

METHOD

SLPs (N = 106) from 42 different states working full-time in school-based K-12 settings participated in this study. At the beginning of the study, each SLP completed a one-time demographic survey about treatment practices for children with SSDs. The SLPs then participated in a series of brief surveys every day for one workweek using a specialized ESM phone application that randomly alerted participants to report on their treatment practices for children with SSDs.

RESULTS

Findings revealed that although most SLPs reported using a variety of SSD intervention approaches in a one-time survey, the majority of SLPs reported using one of three approaches in situ: the traditional articulation therapy approach, cycles, and minimal pairs. We also report a significant negative relationship between the years of experience of an SLP and the number of different approaches used.

CONCLUSIONS

This study is the first to use the ESM to determine which approaches school-based SLPs use to treat children with SSDs. Findings demonstrate that SLPs have knowledge of many different SSD approaches but tend to utilize only a few in school-based settings.