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Sik K, Cummins J, Job V. An implicit measure of growth mindset uniquely predicts post-failure learning behavior. Sci Rep 2024; 14:3761. [PMID: 38355614 PMCID: PMC10867018 DOI: 10.1038/s41598-024-52916-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/25/2024] [Indexed: 02/16/2024] Open
Abstract
Research on implicit theories of intelligence (a.k.a. intelligence mindset) has shown that endorsing a stronger growth mindset (the belief that intelligence can be improved) is adaptive in the face of difficulties. Although the theory presumes implicit processes (i.e., unaware beliefs, guiding behaviors and actions automatically), the concept is typically assessed with self-reports. In this project we brought together research on intelligence mindset with research on implicit social cognition. Harnessing recent innovations from research on implicit measures, we assessed intelligence mindsets on an implicit level with a mousetracking Propositional Evaluation Paradigm. This measure captures the spontaneous truth evaluation of growth- and fixed-mindset statements to tap into implicit beliefs. In two preregistered laboratory studies (N = 184; N = 193), we found that implicitly measured growth mindsets predicted learning engagement after an experience of failure above and beyond the explicitly measured growth mindset. Our results suggest that implicit and explicit aspects of intelligence mindsets must be differentiated. People might be in a different mindset when making learning-related decisions under optimal conditions (i.e., with ample time and capacity) or under suboptimal conditions (i.e., when time pressure is high). This advancement in the understanding of implicit theories of intelligence is accompanied with substantial implications for theory and practice.
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Affiliation(s)
- Kata Sik
- Department of Occupational, Economic, and Social Psychology, University of Vienna, 1010 Wächtergasse 1, Vienna, Austria
| | - Jamie Cummins
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
- Institute of Psychology, University of Bern, Bern, Switzerland
| | - Veronika Job
- Department of Occupational, Economic, and Social Psychology, University of Vienna, 1010 Wächtergasse 1, Vienna, Austria.
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Lee YK, Yue Y, Perez T, Linnenbrink-Garcia L. Dweck's Social-Cognitive Model of Achievement Motivation in Science. LEARNING AND INDIVIDUAL DIFFERENCES 2024; 110:102410. [PMID: 38405100 PMCID: PMC10887275 DOI: 10.1016/j.lindif.2024.102410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Dweck's social-cognitive model has long been used as a basis for achievement motivation research. However, few studies have examined the comprehensive model with interactions between perceived ability and achievement goals, and even fewer studies have focused on this model in a science academic context. With a sample of undergraduates (n = 1,036), the relations among mindsets, science academic self-efficacy, achievement goals, and achievement-related outcomes in science were examined. Fixed mindset related to performance goals. Growth mindset related to mastery goals and the number of courses completed. There was a significant indirect effect of growth mindset on interest value via mastery goals. Contrary to Dweck's model, the relation of performance goals to outcomes did not vary as a function of science academic self-efficacy. The findings provide empirical evidence for a more nuanced understanding of Dweck's model. They provide practical insights for how to support undergraduate students who are pursuing science-related career.
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Affiliation(s)
- You-kyung Lee
- Department of Education, Sookmyung Women’s University
| | - Yuanyuan Yue
- Educational Foundations and Leadership, Old Dominion University
| | - Tony Perez
- Educational Foundations and Leadership, Old Dominion University
| | - Lisa Linnenbrink-Garcia
- Department of Counseling, Educational Psychology, and Special Education, Michigan State University
- Department of Education and the Brain & Motivation Research Institute (bMRI), Korea University
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3
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Howard N, Edwards R, Boutis K, Alexander S, Pusic M. Twelve Tips for using Learning Curves in Health Professions Education Research. MEDEDPUBLISH 2023; 13:269. [PMID: 38058299 PMCID: PMC10696298 DOI: 10.12688/mep.19723.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/18/2023] [Indexed: 12/08/2023] Open
Abstract
Learning curves can be used to design, implement, and evaluate educational interventions. Attention to key aspects of the method can improve the fidelity of this representation of learning as well as its suitability for education and research purposes. This paper addresses when to use a learning curve, which graphical properties to consider, how to use learning curves quantitatively, and how to use observed thresholds to communicate meaning. We also address the associated ethics and policy considerations. We conclude with a best practices checklist for both educators and researchers seeking to use learning curves in their work.
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Affiliation(s)
- Neva Howard
- Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA
| | - Roger Edwards
- Health Professions, MGH Institute of Health Professions, Boston, MA, 02129, USA
| | - Kathy Boutis
- Pediatrics, University of Toronto, Toronto, Ontario, M5G 1X8, Canada
| | - Seth Alexander
- School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599, USA
| | - Martin Pusic
- Pediatrics, Harvard University, Boston, Massachusetts, 02115, USA
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Kim MH. A bioecological perspective on mindset. CONTEMPORARY EDUCATIONAL PSYCHOLOGY 2023. [DOI: 10.1016/j.cedpsych.2023.102173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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Kim MH, Karr JE. Examining associations between intelligence mindset, mental health symptom severity, and academic self-efficacy and performance. CURRENT PSYCHOLOGY 2023; 43:1-14. [PMID: 36855645 PMCID: PMC9951835 DOI: 10.1007/s12144-023-04399-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/11/2023] [Indexed: 03/02/2023]
Abstract
Individuals possess different beliefs regarding the malleability of intelligence, also known as intelligence mindsets. Despite evidence demonstrating a link between a growth mindset of intelligence-the belief that intelligence can develop through effort-and academic achievement, this link has not been closely examined from a mental health perspective. Given the increasing prevalence of mental health conditions, such as anxiety and depression, among undergraduate students, an important question is whether the well-established link between mental health symptom severity and academic outcomes depends on the intelligence mindset beliefs that individuals possess. A growth mindset of intelligence might buffer the negative impact of anxiety and depression on academic outcomes, whereas a fixed mindset-the belief that intelligence cannot be changed-might exacerbate this negative relationship. The present study examined data collected from 660 undergraduate psychology students in the United States to test whether intelligence mindset beliefs moderated the relationship between mental health symptom severity and various indicators of academic outcomes: academic self-efficacy, GPA, and perceived academic standing. Results revealed that intelligence mindset beliefs did not moderate the observed negative association between mental health symptom severity and academic outcomes. Findings indicate that promoting a growth mindset of intelligence might not be a particularly effective strategy for buffering university students from the negative impact of anxiety and depression on academic outcomes. However, this conclusion is limited by the cross-sectional design of the study, and future prospective research is necessary to further clarify the relationship between intelligence mindset, mental health, and academic outcomes.
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Affiliation(s)
- Matthew H. Kim
- Department of Psychology, University of Kentucky, Kastle Hall, Lexington, KY 40506 USA
| | - Justin E. Karr
- Department of Psychology, University of Kentucky, Kastle Hall, Lexington, KY 40506 USA
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Evolving the blank slate. Behav Brain Sci 2022; 45:e155. [PMID: 36098399 DOI: 10.1017/s0140525x21001680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
We support Uchiyama et al. in the value of genetics, sample diversification, and context measurement. Against the example of vitamins, we highlight the intransigence of many phenotypes. We caution that while culture can mask genetic differences, the dependence of behaviour on genetics is reinvented and unmasked by novel challenges across generations.
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Coppersmith NA, Esposito AC, Yoo PS. The Potential Application of Mindset Theory to Surgical Education. JOURNAL OF SURGICAL EDUCATION 2022; 79:845-849. [PMID: 35474256 DOI: 10.1016/j.jsurg.2022.03.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 02/24/2022] [Accepted: 03/19/2022] [Indexed: 06/14/2023]
Abstract
Mindset theory proposes that individuals hold a range of beliefs regarding the malleability of attributes such as intellect and skill. Within surgery, mindset theory has been discussed as a way of understanding achievement in both the cognitive and technical aspects of learning surgery. A review of the literature reveals a limited body of research that has addressed the mindsets of surgeons or by extension, tied those mindsets to outcomes. Within health professions education, mindset theory has been studied more broadly, but the benefits of mindset theory are largely assumed and drawn from education research regarding children and adolescents. Though mindset theory has gained traction, there has been debate regarding the traits associated with growth and fixed mindsets. The strongest evidence from primary and secondary education shows that low socioeconomic status and academically at-risk students can benefit the most from mindset interventions, and these findings may extend to surgical learning as well. Mindset theory offers an interesting lens to better understand surgical education, but more research is needed to characterize the mindsets of surgeons and understand how these mindsets influence performance and outcomes.
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Affiliation(s)
- Nathan A Coppersmith
- Department of Surgery, Yale University School of Medicine, New Haven, Connecticut
| | - Andrew C Esposito
- Department of Surgery, Yale University School of Medicine, New Haven, Connecticut
| | - Peter S Yoo
- Department of Surgery, Yale University School of Medicine, New Haven, Connecticut.
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Ku YR, Stager C. Rethinking the Multidimensionality of Growth Mindset Amid the COVID-19 Pandemic: A Systematic Review and Framework Proposal. Front Psychol 2022; 13:572220. [PMID: 35846666 PMCID: PMC9284032 DOI: 10.3389/fpsyg.2022.572220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Accepted: 06/03/2022] [Indexed: 11/18/2022] Open
Abstract
Students, staff, and faculty in higher education are facing unprecedented challenges due to the COVID-19 pandemic. Recent data revealed that a good number of academic activities and opportunities were disrupted as a result of the COVID-19 pandemic and its variants. While much uncertainty remains for the next academic year, how higher education institutions and their students might improve responses to the rapidly changing situation matters. This systematic review and framework proposal aim to update previous empirical work and examine the current evidence for the effectiveness of growth mindset interventions in young adults. To this end, a systematic search identified 20 empirical studies involving 5, 805 young adults. These studies examined growth mindset within ecologically valid educational contexts and various content areas. Generally, these findings showed that brief messages of growth mindset can improve underrepresented students' academic performance and facilitate other relevant psychological constructs. In addition, we argue, although growth mindset has been identified as a unitary concept, it is comprised of multiple interdependent skills, such as self-control, self-efficacy, and self-esteem. Understanding the nature of growth mindset may contribute to successful mindset implementation. Therefore, this article presents a practical framework to help educators in higher education rethink the multidimensionality of growth mindset and to provide their students with alternative routes to achieve their goals. Finally, additional articles were discussed to help evaluate growth mindset interventions in higher education.
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Affiliation(s)
- Yun-Ruei Ku
- Educational Studies in Psychology, Research Methodology, and Counseling University of Alabama, Tuscaloosa, AL, United States
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Zhang JW, Kessler E, Braasch JL. Self-compassion mindsets can predict statistics course performance via intelligence mindsets and statistics anxiety. LEARNING AND INDIVIDUAL DIFFERENCES 2021. [DOI: 10.1016/j.lindif.2021.102047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Sun X, Nancekivell S, Gelman SA, Shah P. Growth mindset and academic outcomes: a comparison of US and Chinese students. NPJ SCIENCE OF LEARNING 2021; 6:21. [PMID: 34282154 PMCID: PMC8290023 DOI: 10.1038/s41539-021-00100-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 07/01/2021] [Indexed: 06/13/2023]
Abstract
Chinese students are more likely than US students to hold a malleable view of success in school, yet are more likely to hold fixed mindsets about intelligence. We demonstrate that this apparently contradictory pattern of cross-cultural differences holds true across multiple samples and is related to how students conceptualize intelligence and its relationship with academic achievement. Study 1 (N > 15,000) confirmed that US students endorsed more growth mindsets than Chinese students. Importantly, US students' mathematics grades were positively related to growth mindsets with a medium-to-large effect, but for Chinese students, this association was slightly negative. Study 2 conceptually replicated Study 1 findings with US and Chinese college samples, and further discovered that cross-cultural differences in intelligence mindset beliefs corresponded to how students defined intelligence. Together, these studies demonstrated systematic cross-cultural differences in intelligence mindset and suggest that intelligence mindsets are not necessarily associated with academic motivation or success in the same way across cultures.
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Affiliation(s)
- Xin Sun
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA.
| | - Shaylene Nancekivell
- Department of Psychology, University of North Carolina Greensboro, Greensboro, NC, USA
| | - Susan A Gelman
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Priti Shah
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
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Donohoe C, Topping K, Hannah E. Mindset in the secondary school classroom: interaction with social value of effort and contingencies of self-worth. EDUCATIONAL PSYCHOLOGY IN PRACTICE 2021. [DOI: 10.1080/02667363.2021.1905613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- C. Donohoe
- School of Education and Social Work, University of Dundee, Dundee, UK
| | - K.J. Topping
- School of Education and Social Work, University of Dundee, Dundee, UK
| | - E. Hannah
- School of Education and Social Work, University of Dundee, Dundee, UK
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Lu C, Ghoman SK, Cutumisu M, Schmölzer GM. Mindset Moderates Healthcare Providers' Longitudinal Performance in a Digital Neonatal Resuscitation Simulator. Front Pediatr 2020; 8:594690. [PMID: 33665174 PMCID: PMC7921319 DOI: 10.3389/fped.2020.594690] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 12/31/2020] [Indexed: 11/13/2022] Open
Abstract
Background: Simulation education can benefit healthcare providers (HCPs) by providing opportunities to practice complex neonatal-resuscitation tasks in low-stake environments. To our knowledge, no study investigated the role of growth mindset on longitudinal performance on neonatal resuscitation before and after simulation-based training. Objectives: This study examines whether 1) the RETAIN digital/table-top simulators facilitate HCPs' neonatal resuscitation knowledge gain, retention, and transfer and 2) growth mindset moderates HCPs' longitudinal performance in neonatal resuscitation. Methods: Participants were n = 50 HCPs in a tertiary perinatal center in Edmonton, Canada. This longitudinal study was conducted in three stages including 1) a pretest and a mindset survey, immediately followed by a posttest using the RETAIN digital simulator from April to August 2019; 2) a 2-month delayed posttest using the same RETAIN neonatal resuscitation digital simulator from June to October 2019; and 3) a 5-month delayed posttest using the low-fidelity table-top neonatal resuscitation digital simulator from September 2019 to January 2020. Three General Linear Mixed Model (GLMM) repeated-measure analyses investigated HCPs' performance on neonatal resuscitation over time and the moderating effect of growth mindset on the association between test time points and task performance. Results: Compared with their pretest performance, HCPs effectively improved their neonatal resuscitation knowledge after the RETAIN digital simulation-based training on the immediate posttest (Est = 1.88, p < 0.05), retained their knowledge on the 2-month delayed posttest (Est = 1.36, p < 0.05), and transferred their knowledge to the table-top simulator after 5 months (Est = 2.01, p < 0.05). Although growth mindset did not moderate the performance gain from the pretest to the immediate posttest, it moderated the relationship between HCPs' pretest and long-term knowledge retention (i.e., the interaction effect of mindset and the 2-month posttest was significant: Est = 0.97, p < 0.05). The more they endorsed a growth mindset, the better the HCPs performed on the posttest, but only when they were tested after 2 months. Conclusions: Digital simulators for neonatal resuscitation training can effectively facilitate HCPs' knowledge gain, maintenance, and transfer. Besides, growth mindset shows a positive moderating effect on the longitudinal performance improvement in simulation-based training. Future research can be conducted to implement growth-mindset interventions promoting more effective delivery of technology-enhanced, simulation-based training and assessment.
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Affiliation(s)
- Chang Lu
- Centre for Research in Applied Measurement and Evaluation, University of Alberta, Edmonton, AB, Canada.,Department of Educational Psychology, Faculty of Education, University of Alberta, Edmonton, AB, Canada
| | - Simran K Ghoman
- Centre for the Studies of Asphyxia and Resuscitation, Neonatal Research Unit, Royal Alexandra Hospital, Edmonton, AB, Canada.,Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Maria Cutumisu
- Centre for Research in Applied Measurement and Evaluation, University of Alberta, Edmonton, AB, Canada.,Department of Educational Psychology, Faculty of Education, University of Alberta, Edmonton, AB, Canada.,Centre for the Studies of Asphyxia and Resuscitation, Neonatal Research Unit, Royal Alexandra Hospital, Edmonton, AB, Canada.,Department of Computing Science, Faculty of Science, University of Alberta, Edmonton, AB, Canada
| | - Georg M Schmölzer
- Centre for the Studies of Asphyxia and Resuscitation, Neonatal Research Unit, Royal Alexandra Hospital, Edmonton, AB, Canada.,Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
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