From safety net to trampoline: elevating learning with growth mindset in healthcare simulation Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1186/s41077-023-00264-1
The Implicit Theory of Mindset proposes two different mindsets that sit at opposite ends of a spectrum: a fixed mindset versus a growth mindset. With a fixed mindset, an individual believes they are born with a certain amount of an attribute, and so their potential is both pre-determined and static. With a growth mindset, an individual believes their attributes are malleable and can strengthen over time with repeated effort, adaptable learning strategies, and challenge seeking. Adoption of a growth mindset is associated with improved academic success, more effective learning strategies, increased resilience in the face of adversity, and better mental wellbeing. The theoretical underpinning of psychological safety resonates with the Implicit Theory of Mindset as it infers that a significant number of simulation participants have a fixed mindset and are therefore more likely to be fearful of making an error. The simulation community agree that participants need to feel comfortable making errors for simulation to be successful. The key word here is comfortable . Participants feeling comfortable to make errors just scratches the surface of adopting a growth mindset. With a growth mindset, participants see errors as a positive in the simulation experience, an inevitability of the learning process, evidence that they are adequately challenging themselves to improve. Encouraging adoption of a growth mindset in participants is a powerful addition to the establishment of psychological safety because a growth mindset will re-frame participants’ experiences of social comparison from negative to positive and optimize information processing. We propose a novel idea: simulation educators should be explicit in the pre-brief about what a growth mindset is and its associated benefits to encourage its adoption during the simulation activity—a simulation growth mindset intervention. If this is not possible due to time constraints, an online module or article about growth mindset would be appropriate as pre-reading to encourage adoption of a growth mindset in participants. The message is not that a simulation growth mindset intervention should replace the focus on psychological safety but rather that it should be used synergistically to provide the highest quality simulation experience.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s41077-023-00264-1
- https://advancesinsimulation.biomedcentral.com/counter/pdf/10.1186/s41077-023-00264-1
- OA Status
- gold
- Cited By
- 6
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388567584
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388567584Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1186/s41077-023-00264-1Digital Object Identifier
- Title
-
From safety net to trampoline: elevating learning with growth mindset in healthcare simulationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-10Full publication date if available
- Authors
-
Samantha Rae Hopkins, Valerie Isobel Rae, Samantha Smith, Stephen Meldrum, Victoria Ruth TallentireList of authors in order
- Landing page
-
https://doi.org/10.1186/s41077-023-00264-1Publisher landing page
- PDF URL
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https://advancesinsimulation.biomedcentral.com/counter/pdf/10.1186/s41077-023-00264-1Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://advancesinsimulation.biomedcentral.com/counter/pdf/10.1186/s41077-023-00264-1Direct OA link when available
- Concepts
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Mindset, Psychology, Feeling, Social psychology, Mental health, Psychological resilience, Applied psychology, Computer science, Psychotherapist, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
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6Total citation count in OpenAlex
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2025: 1, 2024: 5Per-year citation counts (last 5 years)
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30Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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