The Psychological and Neural Mechanisms of Growth Mindset on Feedback Learning

Yaqi YANG

Research output: Other Conference ContributionsConference Paper (other)Other Conference Paper

Abstract

Can we learn from mistakes? During the past decades, Carol Dweck and her colleagues dedicated to finding the answers. They implicit the theories of intelligence(Dweck, 1999) differ two kinds of mindset, which are associated with the attitude and reaction to failure (Dweck, 1999; Utman, 1997). For individuals with fixed-mindset, who believe that their intelligence and abilities are innate and fixed, failure means they cannot do or do not good at it. They are afraid of failure, refuse to accept challenges and difficulties, and are unwilling to make more attempts. For individuals with a growthmindset, who believe that intelligence is unknown, and can be continuously improved through hard work and training (Dweck, 2007). They regard difficulties and failures as a feedback and more likely learn from their mistakes.

In machine learning area, reinforcement learning theory has been developed to describe how organisms are able to learn action-outcome associations (Barto and Sutton 1997). Feedback-related Negativity (FRN) associated with a
mistake is predictive of whether this mistake will be repeated, or learned from (van der Helden et al., 2010).

To better understand the neural mechanisms of learning behavior in different mindset, this study designed a social feedback experiment to investigate how people processing positive and negative evaluation from others. The electroencephalography(EEG) research method and preliminary finds will be introduced.
Original languageEnglish
Publication statusPublished - 1 Apr 2022
EventPostgraduate Conference on Interdisciplinary Learning : Rethinking Postgraduate Studies in Post-Pandemic Societies - Lingnan University, Hong Kong
Duration: 1 Apr 20222 Apr 2022
https://www.ln.edu.hk/sgs/_content/media/pgdcon2022/pgdcon21_progbook.pdf

Conference

ConferencePostgraduate Conference on Interdisciplinary Learning : Rethinking Postgraduate Studies in Post-Pandemic Societies
Country/TerritoryHong Kong
Period1/04/222/04/22
Internet address

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