An implicit measure of growth mindset uniquely predicts post-failure learning behavior

Area of Science:

• Psychology
• Social Cognition
• Educational Psychology

Background:

• Implicit theories of intelligence, or mindsets, posit that beliefs about the malleability of intelligence influence responses to challenges.
• Traditional assessment relies on explicit self-report measures, potentially missing automatic or unaware belief systems.
• Integrating implicit social cognition methods offers a novel approach to understanding intelligence mindsets.

Purpose of the Study:

• To develop and validate an implicit measure of intelligence mindsets using a mousetracking paradigm.
• To investigate whether implicitly measured growth mindsets predict learning engagement following failure.
• To examine the relationship between implicit and explicit intelligence mindsets.

Main Methods:

• Utilized a mousetracking Propositional Evaluation Paradigm to assess spontaneous truth evaluation of growth and fixed mindset statements.
• Conducted two preregistered laboratory studies with a total of 377 participants (N=184; N=193).
• Assessed implicit and explicit intelligence mindsets and measured learning engagement after an induced failure experience.

Main Results:

• Implicitly measured growth mindsets significantly predicted learning engagement after failure.
• This predictive power remained significant even after accounting for explicitly measured growth mindsets.
• Findings suggest a differentiation between implicit and explicit aspects of intelligence mindsets.

Conclusions:

• Implicit intelligence mindsets play a crucial role in adaptive learning behaviors, particularly after experiencing setbacks.
• The study highlights the necessity of distinguishing between implicit and explicit intelligence mindsets for a comprehensive understanding.
• Results have significant implications for both theoretical conceptualizations and practical interventions in education and psychology.