کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10458460 | 922264 | 2013 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Explicit feedback maintains implicit knowledge
ترجمه فارسی عنوان
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کلمات کلیدی
یادگیری نامتجانس، حافظه تشخیص، اقدامات ذهنی، دانش ناخودآگاه، یادگیری گرامری مصنوعی، بازخورد، آشنایی،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب شناختی
چکیده انگلیسی
The role of feedback was investigated with respect to conscious and unconscious knowledge acquired during artificial grammar learning (AGL). After incidental learning of training sequences, participants classified further sequences in terms of grammaticality and reported their decision strategy with or without explicit veridical feedback. Sequences that disobeyed the learning structure conformed to an alternative structure. Feedback led to an increase in the amount of reported conscious knowledge of structure (derived rules and recollections) but did not increase its accuracy. Conversely, feedback maintained the accuracy of unconscious knowledge of structure (intuition or familiarity-based responses) which otherwise degraded. Results support a dual-process account of AGL. They suggest that implicit learning of the to-be-rejected structure at test contaminates familiarity-based classifications whereas feedback allows competing familiarity signals to be contextualised, which is incompatible with theories that consider familiarity context-insensitive.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Consciousness and Cognition - Volume 22, Issue 3, September 2013, Pages 822-832
Journal: Consciousness and Cognition - Volume 22, Issue 3, September 2013, Pages 822-832
نویسندگان
Andy D. Mealor, Zoltan Dienes,