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NCT05678634 · ClinicalTrials.gov registry record · NA
Optimizing Feedback-based Learning in Children With Developmental Language Disorder
A NA study of Developmental Language Disorder, sponsored by MGH Institute of Health Professions.
- Recruiting
- Registry status
- NA
- Development phase
- 100
- Enrollment target
- 1
- Study location
NCT05678634 is a NA study of Developmental Language Disorder that is actively recruiting participants, run by MGH Institute of Health Professions. The registered enrollment target is 100 participants, below the 177-participant average among 17 other Developmental Language Disorder trials with a reported enrollment target (44% lower). The trial reports 1 study location across 1 state.
The verdict
NCT05678634, a NA study of Developmental Language Disorder, is actively recruiting participants, sponsored by MGH Institute of Health Professions.
- RECRUITING
- Registry status
- NA
- Development phase
- 100 participants
- Enrollment target
- 1
- Study location
Study Summary
This project aims to optimize a critical but understudied ingredient of language intervention provided to children with developmental language disorder (DLD) - feedback. The project will bridge a gap between previous findings in our lab of inefficient feedback processing in DLD and clinical practice by identifying the conditions under which feedback-based learning can be improved in DLD. The investigators hypothesize that the effectiveness of feedback can be significantly enhanced for children with DLD when it is tailored to their unique learning strengths. The rationale for this project is based on evidence that feedback-based learning can be improved by enhancing the dominance of an intact learning system. The project will achieve its aim by manipulating (1) the timing of the feedback (immediate vs. delayed) and (2) the level of the learner's involvement in error correction dictated by feedback (active vs. passive correction). Aim 1 will determine the effect of manipulating feedback timing on learning in 140 school-age children (8-12 years) with DLD. While immediate feedback is processed by the striatum, which is also implicated in implicit learning, delaying the feedback by a few seconds shifts feedback processing to the mediate temporal lobe (MTL)-based declarative learning system. Evidence that delaying feedback improves learning in DLD would support the hypothesis of the implicit deficit theory that intervention should capitalize on declarative learning mechanisms. The project will test a novel alternative feedback-learning parity hypothesis whereby feedback-based learning is optimized when the timing of the feedback is aligned with the dominant learning system at a given time (i.e., immediate feedback during striatal-based probabilistic learning; delayed feedback during MTL-based declarative learning). Within the same group of children, Aim 2 will compare feedback-based learning in children with DLD when feedback (a) prompts active self-correction or (b) pass
Conditions Studied
Interventions
- BEHAVIORAL Declarative learning with immediate feedback
- BEHAVIORAL Declarative learning with delayed feedback
- BEHAVIORAL Probabilistic learning with immediate feedback
- BEHAVIORAL Probabilistic learning with delayed feedback
- BEHAVIORAL Word learning task with active feedback
Study Locations (1)
Massachusetts
- MGH Institute of Health Professions - Boston
Trial Details
| Field | Value |
|---|---|
| Enrollment Target | 100 participants |
| Start Date | 2023-07-20 |
| Est. Completion | 2027-10-01 |
| Phase | NA |
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Full Details on ClinicalTrials.gov ↗What the Registry Record Tells You About NCT05678634
The ClinicalTrials.gov registry entry for NCT05678634 describes a study currently listed as recruiting, categorized as NA. The registered enrollment target is 100 participants, a figure that helps gauge the scale of data the investigators plan to collect, below the 177-participant average among 17 other Developmental Language Disorder trials with a reported enrollment target (44% lower). The listed sponsor is MGH Institute of Health Professions, which has 16 total studies on file at ClinicalTrials.gov.
The record links to 1 condition, with Developmental Language Disorder appearing as the primary indexed condition, and to 5 interventions - of which Declarative learning with immediate feedback is the first listed.
NCT05678634 reports 1 study location spanning 1 distinct geographic area - top geographies include Massachusetts.
Frequently Asked Questions
What is clinical trial NCT05678634 about?
NCT05678634 is a clinical study titled "Optimizing Feedback-based Learning in Children With Developmental Language Disorder". This project aims to optimize a critical but understudied ingredient of language intervention provided to children with developmental language disorder (DLD) - feedback. The project will bridge a gap between previous findings in our lab of inefficient feedback processing in DLD and clinical practice...
What is the current status of trial NCT05678634?
This trial is currently recruiting. It is a NA study. The enrollment target is 100 participants. The study started on 2023-07-20. Estimated completion is 2027-10-01.
What conditions does trial NCT05678634 study?
This clinical trial studies the following conditions: Developmental Language Disorder.
What interventions are being tested in trial NCT05678634?
The interventions under investigation include: Declarative learning with immediate feedback (BEHAVIORAL), Declarative learning with delayed feedback (BEHAVIORAL), Probabilistic learning with immediate feedback (BEHAVIORAL), Probabilistic learning with delayed feedback (BEHAVIORAL), Word learning task with active feedback (BEHAVIORAL).
Who is sponsoring clinical trial NCT05678634?
This trial is sponsored by MGH Institute of Health Professions, which has 16 total clinical trials registered on ClinicalTrials.gov.
Where is trial NCT05678634 being conducted?
This trial has 1 study location across Massachusetts. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.
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Read our methodology - how this data is sourced, computed, and verified.
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