Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-25T05:06:59.026Z Has data issue: false hasContentIssue false

GENERALIZABILITY AND AUTOMATICITY OF SECOND LANGUAGE LEARNINGUNDER IMPLICIT, INCIDENTAL, ENHANCED, AND INSTRUCTED CONDITIONS

Published online by Cambridge University Press:  01 June 1997

Peter Robinson
Affiliation:
Aoyama Gakuin University

Abstract

This experimental study examines the extent to which 60 adult Japanese ESL learners were able to acquire a rule regulating the argument structure frames of novel verbs of English after exposure to grammatical examples of sentences containing the verbs. Training took place under conditions with no focus on form (implicit and incidental conditions) and with focus on form (enhanced and instructed conditions). The presentation of instances during training was manipulated as a test of predictions made by Logan's (1988, 1990, 1992) memory-based instance theory of automaticity. Results measured in reaction times show similar slopes for automaticity on trained examples in each condition but significant differences in the extent of learning, with the focus on form conditions outperforming the no focus on form conditions in transfer of learned knowledge to accurate judgments of new ungrammatical sentences. Implications are drawn from the results regarding the acquisition of rule-based versus memory-based knowledge from exposure to stimuli in each training condition and the influence of this knowledge on decision-making about grammaticality during the transfer task.

Type
Research Article
Copyright
© 1997 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

I am grateful to Gordon Logan of the Department of Psychology, University of Illinois, for his comments on this study and for assistance in fitting power functions to the reaction time data. I am also grateful to Robert DeKeyser of the University of Pittsburgh, Kevin Gregg of St. Andrew's University, Osaka, Jan Hulstijn and Rick de Graaff of the Free University, Amsterdam, and Russ Tomlin of the University of Oregon for their comments on the paper, as well as to Mamiko Fuji of Aoyama Gakuin University for her help with the data collection and entry, and Yuko Sakurai, also of Aoyama Gakuin University, for her help in translating the questionnaire responses.