Improving STEM Outcomes for Young Children With Language Learning Disabilities

F

Father Flanagan's Boys' Home

Status

Terminated

Conditions

Specific Language Impairment

Treatments

Behavioral: Science + Grammar Intervention
Behavioral: Science + Vocabulary Intervention
Behavioral: Science + Phonological Awareness

Study type

Interventional

Funder types

Other

Identifiers

NCT03438760
1748298 (Other Grant/Funding Number)
17-07-XP

Details and patient eligibility

About

The sophisticated language of science can be a barrier to Science, Technology, Engineering, and Math (STEM) learning, especially for children who have specific language impairment (SLI). The purpose of this randomized controlled trial is to test vocabulary and grammar interventions embedded in a small-group inquiry-based science instruction for their potential to ameliorate language deficits that impede science learning. Participants will be 54 preschoolers or kindergartners with SLI. Proximal and distal probes will reveal their mastery of taught and generalized language and science concepts.

Full description

In this study the investigators focus on a subset of at-risk students who find the language of science to be a barrier to the learning of science. These are the nearly 3 million children in the U.S. who have a learning disability called specific language impairment (SLI). Children with SLI present with deficits in spoken grammar and vocabulary and they are 3.9 to 8.1 times more likely to have reading deficits than children in the general population. Specific Aim #1: To determine whether science-relevant language intervention enhances the learning of science concepts in young children who have SLI. Specific Aim #2: To determine whether science-relevant language intervention facilitates generalization of science concepts and practices in young children who have SLI. Fifty-four 4-to-7-year-olds who have not yet begun 1st grade, who are monolingual speakers of English, and who have SLI will participate. The investigators will adopt a Randomized Controlled Trial design, randomly assigning participants into three intervention conditions: science + phonological awareness practice (the control arm), science + vocabulary supports, and science + grammar supports, followed by a brief withdrawal phase in which all three groups receive science only instruction. Pre- and post-measures will reveal the extent of learning in each condition and comparisons between conditions will reveal whether the grammar and vocabulary supports improved learning. The hypothesis is that the language and learning of science are integrally related. Therefore, the investigators will use evidenced-based language interventions to improve the children's science-relevant language skills, with the prediction that this will cascade into changes in the acquisition of science concepts and practices: Children in the science + language intervention conditions will show greater gains in taught science concepts after the 4-week intervention period than children in the control arm. The benefit of the science + language interventions will remain after the language supports are withdrawn, that is, children in the science + language intervention conditions will show greater gains in taught science concepts during the withdrawal week than children in the control arm. Children in the science + language intervention conditions will show greater gains from pretest to posttest on measures of generalized science concepts and practice than children in the control arm. Children who demonstrate the greatest improvement in the use of the language targets will also demonstrate the greatest improvements in taught concepts, generalized concepts, and generalized practice knowledge. Children will benefit from language supports directed at vocabulary as well as those directed at grammar, but these supports may differently benefit the science learning process. The first step is to document that the language supported interventions resulted in improved language abilities by comparing performance on probes of grammar and vocabulary at posttest to pretest performance. The expectations are significant changes in vocabulary knowledge for the vocabulary intervention condition as compared to the other two conditions, and significant changes in use of complement clauses for the grammar intervention condition as compared to the other two conditions. The next step is to test the predictions associated with the specific aims via a series of binomial mixed models. Mixed models are appropriate for designs with unbalanced cell sizes due to missing data (due to non-response and dropout). There will be one model for targeted science concept outcomes with condition (control arm, science + vocabulary, science + grammar), language support (present, withdrawn), and condition x language support as the independent variables (Predictions 1 and 2). If data plotting suggests that effects are specific to the type of concepts being taught (e.g., physical science vs biological science), then we will build a second model to explore differences related to concept type. There will also be one model each for generalized concepts and generalized practice outcomes with condition (control arm, science + vocabulary, science + grammar) and time (pretest and posttest) as independent variables (Prediction 3). Within-subject correlation will be accounted for with random subject effects. Additional random effects will be determined by selecting the model with the best model fit (lowest AIC value). In each of the three models, it is further expected that amount of improvement in grammar and vocabulary are moderators between the outcome and the other factors (Prediction 4). To assess this prediction, performance on the language tests will be included as covariates. The expectation is that performance on the language probes after instruction will be a significant predictor of science learning, and that including performance on the language probes as a covariate will eliminate the effect of condition because language performance will be the main factor predicting science performance. These models also allow comparison of the effectiveness of the grammar- and vocabulary-supported conditions (Prediction 5).

Enrollment

36 patients

Sex

All

Ages

4 to 7 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Age between 4 and 7 years
  • Not yet begun first grade
  • Speaks English as their primary language
  • Has SLI confirmed by 1) a standard score of 94 or lower on the Structured Photographic Expressive Language Test, 3rd edition (SPELT-III, Dawson, Stout, & Eyer, 2003) OR below a scaled score of 7 on the Diagnostic Evaluation of Language Variance™-Norm Referenced (DELV-NR, Seymour, Roeper, & de Villiers, 2005) syntax subtest; AND 2) performing below age-relevant cutoffs on the Dollaghan and Campbell (1998) Nonword Repetition Task OR enrollment on a clinical caseload.
  • Nonverbal matrices t score of 35 or higher on the Developmental Abilities Scale
  • Passes a pure-tone audiometric screening administered according to the standards of the American Speech-Language-Hearing Association (ASHA, 1997)
  • Can produce simple sentences that contain a subject and a verb.
  • Performs with less than 40% accuracy on expressive probes of complement clauses prior to study onset
  • Performs with less than 40% accuracy on vocabulary definition probes prior to study onset

Exclusion criteria

  • Other diagnosed neurodevelopmental disorders (e.g., autism, Down syndrome) via parent report or significant sensory or motor impairments (e.g., severe vision impairment uncorrectable by glasses)
  • Exposure to a language other than English at home or school more than 20% of the time.

Trial design

Primary purpose

Treatment

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

36 participants in 3 patient groups, including a placebo group

Science + Phonological Awareness
Placebo Comparator group
Description:
In all conditions, science is taught via the Full Option Science System Next Generation Edition (FOSS, 2015, https://www.fossweb.com/) curriculum that involves 1) Prediction, 2) Experiment, 3) Journal/Reflection, and 4) dialogic reading centered around a given theme such as plant life. In the control condition, a minimum of six phoneme identifications and five rhymes will be incorporated into each lesson of this curriculum. While these activities are likely to improve the children's awareness of the sounds of the language (a foundational skill for learning to read), they are not likely to improve their access to the science being taught. Therefore, this intervention constitutes a placebo.
Treatment:
Behavioral: Science + Phonological Awareness
Science + Grammar Intervention
Experimental group
Description:
In the science + grammar condition, focused stimulation, an intervention commonly used to target expressive language, will be used to treat complement clauses during the FOSS activities. The approach is incidental, rather than explicit. The active ingredients are models and recasts of the target structure. Recasts occur when an examiner responds to a child's naturally occurring utterance by expanding or extending the child's utterance to include a target grammatical structure. Recasts and/or models will be provided at an average rate of one per minute, an accepted therapeutic dose.
Treatment:
Behavioral: Science + Grammar Intervention
Science + Vocabulary Intervention
Experimental group
Description:
This arm involves Robust Vocabulary Instruction, an explicit approach that emphasizes multiple and rich encounters in authentic contexts to promote depth of semantic knowledge of 20 words that pertain to scientific practices applicable to the FOSS lessons. The children receive a cumulative exposure of at least 20 times per word (a minimum of 5 times per each of four lessons) and at least 4 chances to produce the word (a minimum of 1 chance per each of four lessons).
Treatment:
Behavioral: Science + Vocabulary Intervention

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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