- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05678634
Optimizing Feedback-based Learning in Children With Developmental Language Disorder
May 27, 2026 updated by: Yael Arbel, MGH Institute of Health Professions
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) passively exposes learners to error corrections (corrective recast).
Children will engage in two nonword-object paired-associate learning tasks.
In one task, feedback will promote active self-correction, which is in line with declarative learning.
In the other task, feedback will passively expose the learner to corrective feedback in a manner consistent with teaching approaches aiming at reducing awareness of errors.
The project will determine whether children with DLD learn better when feedback prompts self-correction or when they are exposed to passive corrections.
Electrophysiological measures will indicate whether passive corrections (corrective recast) are processed as negative feedback by children with DLD.
For both aims, behavioral indicators of response to feedback will be complemented by electrophysiological measures of feedback processing that can determine the involvement of the striatum and MTL brain systems during the learning process.
This work is scientifically and clinically significant because elucidating what manipulations optimize feedback-based learning will enhance our understanding of the impaired learning mechanism in DLD and will provide clinical guidance on what type of feedback to use during an intervention.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
- 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
- Behavioral: Word learning task with passive feedback
Study Type
Interventional
Enrollment (Estimated)
100
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Research Coordinator
- Phone Number: (617) 724-7363
- Email: cnglead@mghihp.edu
Study Locations
-
-
Massachusetts
-
Boston, Massachusetts, United States, 02129
- Recruiting
- MGH Institute of Health Professions
-
Contact:
- Research Coordinator
- Phone Number: (617) 724-7363
- Email: cnglead@mghihp.edu
-
Principal Investigator:
- Yael Arbel, PhD
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
8 years to 12 years (Child)
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- English as the primary language Nonverbal intelligence quotient (IQ) score on the Wechsler Intelligence Scale for Children-5th Edition (WISC-V) Standard Score >70 Identification Core score on the Test of Integrated Language & Literacy Skills (TILLS) equal to or less than 34
Exclusion Criteria:
- Hearing loss or other known neurological deficits, or diagnoses (e.g., Autism, Traumatic Brain Injury)
- Evidence of color blindness as measured by the EnChroma computer base color blindness screening test for children
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Children with developmental language disorder
|
Children will complete a paired associate learning task on a computer.
Each response on half of the blocks will be followed by performance feedback.
Feedback will be provided 500 ms following a response (button press)
Children will complete a paired associate learning task on a computer.
Each response on half of the blocks will be followed by performance feedback.
Feedback will be provided 5000 ms following a response (button press)
Children will complete a probabilistic learning task on a computer.
Each response on half of the blocks will be followed by feedback.
Feedback will be provided 500 ms following a response (button press)
Children will complete a probabilistic learning task on a computer.
Each response on half of the blocks will be followed by feedback.
Feedback will be provided 5000 ms following a response (button press)
Children will complete a two-choice nonword learning task in which they will be tasked with learning to associate novel objects with novel nonword names through trial and error guided by feedback.
Each response will be followed by feedback either indicating that the response is correct or prompting the child to try again (i.e., to correct an error)
Children will complete a two-choice nonword learning task in which they will be tasked with learning to associate novel objects with novel nonword names.
Regardless of response accuracy on each trial, each response will be followed by a visual presentation of the correct response.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy (percent correct) on a two-choice paired associate test immediately after the task
Time Frame: Immediately after learning task
|
Accuracy on a two-choice paired-associate test following each of the learning conditions.
The structure of a test trial will be similar to the structure of a task trial but it will not include feedback.
This measure will evaluate learning outcomes.
|
Immediately after learning task
|
|
Accuracy (percent correct) on a two-choice paired associate test 1 week after the task
Time Frame: 1 week after the learning task
|
Accuracy on a two-choice paired-associate test a week after the completion of each learning task.
The structure of a test trial will be similar to the structure of a task trial but it will not include feedback.
This measure will evaluate learning retention.
|
1 week after the learning task
|
|
FRN amplitude
Time Frame: During each learning task
|
The amplitude (in microvolts) of the feedback related negativity (FRN) event related potential
|
During each learning task
|
|
N170 amplitude
Time Frame: During each learning task
|
The amplitude (in microvolts) of the N170 event related potential
|
During each learning task
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Yael Arbel, PhD, MGH Institute of Health Professions
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
July 20, 2023
Primary Completion (Estimated)
October 1, 2027
Study Completion (Estimated)
October 1, 2027
Study Registration Dates
First Submitted
January 3, 2023
First Submitted That Met QC Criteria
January 4, 2023
First Posted (Actual)
January 10, 2023
Study Record Updates
Last Update Posted (Actual)
May 29, 2026
Last Update Submitted That Met QC Criteria
May 27, 2026
Last Verified
May 1, 2026
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2022P003376
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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