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Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
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Published on: January 29, 2020

Explicit feedback maintains implicit knowledge.

Andy D Mealor1, Zoltan Dienes

  • 1Sackler Centre for Consciousness Science and the School of Psychology, University of Sussex, Falmer, Brighton, UK.

Consciousness and Cognition
|June 18, 2013
PubMed
Summary
This summary is machine-generated.

Feedback enhances conscious knowledge but not accuracy in artificial grammar learning (AGL). It maintains unconscious knowledge accuracy, supporting dual-process theories of learning and memory.

Keywords:
Artificial grammar learningFamiliarityFeedbackImplicit learningRecognition memorySubjective measuresUnconscious knowledge

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Learning Sciences

Background:

  • Artificial grammar learning (AGL) investigates implicit and explicit knowledge acquisition.
  • Understanding the role of feedback in AGL is crucial for distinguishing conscious and unconscious learning processes.
  • Previous research suggests feedback can influence explicit knowledge but its effect on implicit knowledge is debated.

Purpose of the Study:

  • To investigate the impact of explicit veridical feedback on conscious and unconscious knowledge during AGL.
  • To determine if feedback affects the accuracy and reported awareness of learned grammatical structures.
  • To test the compatibility of findings with dual-process theories of AGL and context-insensitivity of familiarity.

Main Methods:

  • Participants underwent incidental learning of artificial grammar sequences.
  • Post-learning, participants classified new sequences for grammaticality with or without feedback.
  • Decision strategies were reported, distinguishing conscious knowledge (rules, recollections) from unconscious knowledge (intuition, familiarity).

Main Results:

  • Feedback increased reported conscious knowledge but did not improve its accuracy.
  • Feedback maintained the accuracy of unconscious knowledge, which would otherwise decline.
  • Findings suggest implicit learning of alternative structures can interfere with familiarity-based judgments.

Conclusions:

  • Results support a dual-process model of AGL, differentiating conscious and unconscious knowledge.
  • Feedback helps contextualize familiarity signals, contradicting theories of context-insensitive familiarity.
  • The study highlights the complex interplay between feedback, conscious awareness, and implicit learning.