ARTIFICIAL GRAMMAR LEARNING BY 9 TO 11-YE AR-OLD CHILDREN

Authors
Citation
Jp. Fischer, ARTIFICIAL GRAMMAR LEARNING BY 9 TO 11-YE AR-OLD CHILDREN, Annee Psychologique, 97(2), 1997, pp. 207-236
Citations number
30
Categorie Soggetti
Psychology
Journal title
ISSN journal
00035033
Volume
97
Issue
2
Year of publication
1997
Pages
207 - 236
Database
ISI
SICI code
0003-5033(1997)97:2<207:AGLB9T>2.0.ZU;2-E
Abstract
In experiment 1, ice demonstrate that children can learn an artificial grammar in the standard conditions (see, for example, Reber, 1993). T his implicit learning capacity does not develop in the examined age-pe riod (9 to 11). Children's verbal explanations came under the three cl assical models of artificial grammar learning: abstraction of rules, c omparison with training exemplars, and memorization of fragments. Howe ver, a complementary analysis shows that children's adherence to some grammatical rules plays a major role. In experiment 2, toe use the sam e artificial grammar and learning items as in experiment 1. But, havin g discovered a system of imperfectly valid rules used by the children, we constructed a new set of test items. This new set is designed for checkmating the rule system of experiment 1 if the (new) children cont inue to use it. The results conform to the prediction: the 10- and 11- year-old children judged as grammatical the test items which were not, and conversely judged grammatical items as non-grammatical. Two other factors are taken into consideration in these experiments: the simila rity and association (as measured by associative strength) between the learning items and the test items. The results suggest, if these fact ors are not confounded with grammaticality, that they have little impa ct on the judgment of grammaticality. Furthermore, in the present rese arch they appear rather as a by-product of children's adherence to the rules. In the conclusion, we emphasize the questionable status - whic h is exacerbated by experiment 2 - of the notion of an <<imperfectly v alid>> rule. We also underline that in artificial grammar learning, th e grammar and the learning items do not alone determine the test perfo rmance.