The use of matrix training to promote generative language with children with autism
| Autor: | Sarah E. Frampton, Sarah C. Wymer, Bethany Hansen, M. Alice Shillingsburg |
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| Rok vydání: | 2016 |
| Předmět: |
050103 clinical psychology
Sociology and Political Science Generalization Diagonal Tact medicine.disease_cause computer.software_genre Matrix (mathematics) Jumping Noun medicine 0501 psychology and cognitive sciences Applied Psychology Communication business.industry 05 social sciences medicine.disease Philosophy Autism Artificial intelligence business Psychology computer Generative grammar Natural language processing 050104 developmental & child psychology |
| Zdroj: | Journal of Applied Behavior Analysis. 49:869-883 |
| ISSN: | 0021-8855 |
| DOI: | 10.1002/jaba.340 |
| Popis: | Matrix training consists of planning instruction by arranging components of desired skills across 2 axes. After training with diagonal targets that each combine 2 unique skill components, responses to nondiagonal targets, consisting of novel combinations of the components, may emerge. A multiple-probe design across participants was used to evaluate matrix training with known nouns (e.g., cat) and verbs (e.g., jumping) with 5 children with autism spectrum disorders (ASD). Following baseline of Matrix 1 and a generalization matrix, diagonal targets within Matrix 1 were trained as noun-verb combinations (e.g., cat jumping). Posttests showed recombinative generalization within Matrix 1 and the generalization matrix for 4 participants. For 1 participant, diagonal training across multiple matrices was provided until correct responding was observed in the generalization matrix. Results support the use of matrix training to promote untrained responses for learners with ASD and offer a systematic way to evaluate the extent of generalization within and across matrices. |
| Databáze: | OpenAIRE |
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