Cross-situational statistically based word learning intervention for late-talking toddlers
Mary Alt1, Christina Meyers1, Trianna Oglivie1
1University of Arizona, United States.
This study shows that a word learning intervention using cross-situational statistical learning significantly improved vocabulary acquisition in toddlers with language delays. Children learned more words faster than expected, indicating potential for this approach.
Area of Science:
- Developmental Psychology
- Linguistics
- Speech-Language Pathology
Background:
- Late-talking toddlers often experience vocabulary delays.
- Cross-situational statistical learning is a mechanism for word acquisition.
- Interventions can leverage statistical learning principles for language development.
Purpose of the Study:
- To evaluate an input-based word learning intervention for late-talking toddlers.
- The intervention was designed using principles of cross-situational statistical learning.
- To assess the efficacy of this intervention on vocabulary acquisition.
Main Methods:
- Four late-talking toddlers received 7-10 weeks of bi-weekly intervention.
- The intervention focused on input and cross-situational statistical learning.
- Vocabulary gains were measured using parent reports and language samples.
Main Results:
- Children learned significantly more target words than control words.
- A large treatment effect size was observed.
- Vocabulary percentile scores increased, showing faster-than-literature rates of word learning.
Conclusions:
- Cross-situational statistical learning interventions show promise for improving toddler vocabulary.
- This approach may offer a viable treatment for late-talking toddlers.
- Further research is needed to explore limitations and optimize intervention strategies.
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