The Effects of Input Mode on the Implicit Learning of Classifier-Noun Collocations

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Abstract Summary

The present study explored the effect of input mode on the implicit learning of semantic distinction of articles. 65 participants were exposed to large amount of article-noun collocations  with different input modes. Results indicated that input combining the verbal  and nonverbal mode facilitated the implicit learning of the shape-based semantic distinctions of the target articles.

Submission ID :
AILA611
Submission Type
Abstract :

The feasibility and mechanism of implicit learning by adult learners have been the focus of second language acquisition research. The present study adopted the artificial grammar paradigm and online reaction-time tasks to test the implicit learning of shape-based semantic distinctions. It compared the pure verbal mode (written words) with the verbal+non verbal mode (written words + pictures) to investigate the effect of input mode on semantic implicit learning.  65 participants were  exposed to large amount of article-noun collocations with different input modes. The results showed participants receiving the written word+picture input learned the target meaning implicitly, whereas the participants receiving the pure written word input did not, indicating that verbal+non verbal input was more effective in enhancing the implicit learning of shape-based semantic distinctions. This study lends initial support to the efficacy of using multimedia input in improving semantic implicit learning.

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Beijing Institute of Technology
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