- Open Access
Prevalence of a growth mindset among introductory astronomy students
Phys. Rev. Phys. Educ. Res. 20, 010140 – Published 10 May, 2024
DOI: https://doi.org/10.1103/PhysRevPhysEducRes.20.010140
Abstract
While many previous studies have indicated that encouraging a growth mindset can improve student learning outcomes, this conclusion’s applicability to college-level astronomy classrooms remains poorly understood owing to the variation in students’ overall and domain-specific learning attitudes. To address this, we surveyed undergraduate students in an introductory astronomy class about their attitudes towards learning astronomy over the course of five semesters. Overall, students felt an affinity for astronomy, felt moderately competent, perceived astronomy to be intermediate in terms of difficulty, and agreed strongly with standard statements reflecting a “growth mindset,” i.e., the belief that intelligence is malleable rather than fixed from birth. Their responses were stable over the course of the semester and did not appear to depend strongly on student demographics. The unexpected start of the COVID-19 pandemic and the associated shift to all-virtual learning correlated with a drop in their affinity for astronomy, a small decrease in their perceived competence, and an increase in the perceived difficulty of the topic. Their overall learning mindset showed negligible change during this time, emphasizing the stability of their belief in a growth mindset as compared to other measured learning attitudes. However, more nuanced questions about their behaviors and interpretations in the classroom, about how they felt “in the moment,” and about what factors were most important for their success in the class revealed significantly lower alignment with a growth mindset. This suggests that while introductory astronomy students may believe that they have a growth mindset, this mindset is not necessarily reflected in their self-reported classroom behaviors or measured responses to actual learning challenges.
Physics Subject Headings (PhySH)
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References (49)
- C. S. Dweck and E. L. Leggett, A social-cognitive approach to motivation and personality, Psychol. Rev. 95, 256 (1988).
- C. S. Dweck, Self-Theories (Psychology Press, London, 1999).
- Y.-y. Hong, C.-y. Chiu, C. S. Dweck, D. M.-S. Lin, and W. Wan, Implicit theories, attributions, and coping: A meaning system approach, J. Pers. Soc. Psychol. 77, 588 (1999).
- S. J. Heine, S. Kitayama, D. R. Lehman, T. Takata, E. Ide, C. Leung, and H. Matsumoto, Divergent consequences of success and failure in Japan and North America: An investigation of self-improving motivations and malleable selves, J. Pers. Soc. Psychol. 81, 599 (2001).
- L. S. Blackwell, K. H. Trzesniewski, and C. S. Dweck, Implicit theories of intelligence predict achievement across an adolescent transition: A longitudinal study and an intervention, Child Dev. 78, 246 (2007).
- J. L. Burnette, E. H. O’Boyle, E. M. VanEpps, J. M. Pollack, and E. J. Finkel, Mind-sets matter: A meta-analytic review of implicit theories and self-regulation, Psychol. Bull. 139, 655 (2013).
- D. Paunesku, G. M. Walton, C. Romero, E. N. Smith, D. S. Yeager, and C. S. Dweck, Mind-set interventions are a scalable treatment for academic underachievement, Psychol. Sci. 26, 784 (2015).
- P. A. Smiley, K. V. Buttitta, S. Y. Chung, V. X. Dubon, and L. K. Chang, Mediation models of implicit theories and achievement goals predict planning and withdrawal after failure, Motiv. Emot. 40, 878 (2016).
- Š. Bahník and M. A. Vranka, Growth mindset is not associated with scholastic aptitude in a large sample of university applicants, Pers. Indiv. Diff. 117, 139 (2017).
- A. X. Sánchez and L. Ríos, Analysis of student perceptions of classroom structure, belongingness, and motivation in an introductory physics course, presented at PER Conf. 2020, virtual conference, 10.1119/perc.2020.pr.Sanchez.
- M. Hoyert and C. O’Dell, Goal orientation and the aftermath of an academic failure, Int. J. Learn. Ann. Rev. 15, 245 (2008).
- A. Lisberg and B. Woods, Mentorship, mindset and learning strategies: An integrative approach to increasing underrepresented minority student retention in a STEM undergraduate program, J. STEM Educ. Innov. Res. 19, 14 (2018), https://www.jstem.org/jstem/index.php/JSTEM/article/view/2280.
- I. D. Beatty, S. J. Sedberry, W. J. Gerace, J. E. Strickhouser, M. A. Elobeid, M. J. Kane, I. D. Beatty, S. J. Sedberry, W. J. Gerace, J. E. Strickhouser, M. A. Elobeid, and M. J. Kane, Improving STEM self-efficacy with a scalable classroom intervention targeting growth mindset and success attribution, presented at PER Conf. 2019, Provo, UT, 10.1119/perc.2019.pr.Beatty.
- D. Nallapothula, J. B. Lozano, S. Han, C. Herrera, H. W. Sayson, M. Levis-Fitzgerald, and J. Maloy, M-LoCUS: A scalable intervention enhances growth mindset and internal locus of control in undergraduate students in STEM, J. Microbiol. Biol. Educ. 21, 30 (2020).
- B. Chambers, J. Lowe, and L. Muldrow, Dissemination of growth mindset principles and attitudes in the division of science and mathematics at a liberal arts college, J. STEM Educ. Innov. Res. 23, 35 (2022), https://www.jstem.org/jstem/index.php/JSTEM/article/view/2536.
- J. Aronson, C. B. Fried, and C. Good, Reducing the effects of stereotype threat on African American college students by shaping theories of intelligence, J. Exp. Soc. Psychol. 38, 113 (2002).
- C. Good, J. Aronson, and M. Inzlicht, Improving adolescents’ standardized test performance: An intervention to reduce the effects of stereotype threat, J. Appl. Dev. Psychol. 24, 645 (2003).
- D. S. Yeager and G. M. Walton, Social-psychological interventions in education: They’re not magic, Rev. Educ. Res. 81, 267 (2011).
- D. S. Yeager, P. Hanselman, G. M. Walton, J. S. Murray, R. Crosnoe, C. Muller, E. Tipton, B. Schneider, C. S. Hulleman, C. P. Hinojosa, D. Paunesku, C. Romero, K. Flint, A. Roberts, J. Trott, R. Iachan, J. Buontempo, S. M. Yang, C. M. Carvalho, P. R. Hahn, M. Gopalan, P. Mhatre, R. Ferguson, A. L. Duckworth, and C. S. Dweck, A national experiment reveals where a growth mindset improves achievement, Nature (London) 573, 364 (2019).
- G. Orosz, S. Péter-Szarka, B. Bőthe, I. Tóth-Király, and R. Berger, How not to do a mindset intervention: Learning from a mindset intervention among students with good grades, Front. Psychol. 8, 311 (2017).
- V. F. Sisk, A. P. Burgoyne, J. Sun, J. L. Butler, and B. N. Macnamara, To what extent and under which circumstances are growth mind-sets important to academic achievement? Two meta-analyses, Psychol. Sci. 29, 549 (2018).
- Y. Wang, G. A. Rocabado, J. E. Lewis, and S. E. Lewis, Prompts to promote success: Evaluating utility value and growth mindset interventions on general chemistry students’ attitude and academic performance, J. Chem. Educ. 98, 1476 (2021).
- A. Fink, M. J. Cahill, M. A. McDaniel, A. Hoffman, and R. F. Frey, Improving general chemistry performance through a growth mindset intervention: Selective effects on underrepresented minorities, Chem. Educ. Res. Pract. 19, 783 (2018).
- J. L. Burnette, J. Billingsley, G. C. Banks, L. E. Knouse, C. L. Hoyt, J. M. Pollack, and S. Simon, A systematic review and meta-analysis of growth mindset interventions: For whom, how, and why might such interventions work?, Psychol. Bull. 149, 174 (2022).
- C. R. Kinlaw and B. Kurtz-Costes, The development of children’s beliefs about intelligence, Dev. Rev. 23, 125 (2003).
- E. Gonida, G. Kiosseoglou, and A. Leondari, Implicit theories of intelligence, perceived academic competence, and school achievement: Testing alternative models, Am. J. Psychol. 119, 223 (2006).
- E. A. Gunderson, N. Hamdan, N. S. Sorhagen, and A. P. D’Esterre, Who needs innate ability to succeed in math and literacy? Academic-domain-specific theories of intelligence about peers versus adults, Develop. Psychol. 53, 1188 (2017).
- R. W. Robins and J. L. Pals, Implicit self-theories in the academic domain: Implications for goal orientation, attributions, affect, and self-esteem change, Self Identity 1, 313 (2002).
- T. Dai and J. G. Cromley, Changes in implicit theories of ability in biology and dropout from STEM majors: A latent growth curve approach, Contemp. Educ. Psychol. 39, 233 (2014).
- M. J. Scott and G. Ghinea, On the domain-specificity of mindsets: The relationship between aptitude beliefs and programming practice, IEEE Trans. Ed. 57, 169 (2014).
- A. E. Flanigan, M. S. Peteranetz, D. F. Shell, and L.-K. Soh, Implicit intelligence beliefs of computer science students: Exploring change across the semester, Contemp. Educ. Psychol. 48, 179 (2017).
- R. L. Shively and C. S. Ryan, Longitudinal changes in college math students’ implicit theories of intelligence, Social Psychol. Educ. 16, 241 (2013).
- A. Malespina, C. D. Schunn, and C. Singh, To whom do students believe a growth mindset applies?, presented at PER Conf. 2022, Grand Rapids, MI, 10.1119/perc.2022.pr.Malespina.
- A. Malespina, C. D. Schunn, and C. Singh, Bioscience students’ internalized mindsets predict grades and reveal gender inequities in physics courses, Phys. Rev. Phys. Educ. Res. 19, 020135 (2023).
- L. B. Limeri, N. T. Carter, J. Choe, H. G. Harper, H. R. Martin, A. Benton, and E. L. Dolan, Growing a growth mindset: Characterizing how and why undergraduate students’ mindsets change, Int. J. STEM Educ. 7, 35 (2020).
“Survey of Attitudes Toward Astronomy” by Michael Zeilik; http://www.flaguide.org/tools/attitude/astpr.htm.
- C. Schau, J. Stevens, T. L. Dauphinee, and A. D. Vecchio, The development and validation of the survey of antitudes toward statistics, Educ. Psychol. Meas. 55, 868 (1995).
- M. Zeilik, C. Schau, N. Mattern, S. Hall, K. W. Teague, and W. Bisard, Conceptual astronomy: A novel model for teaching postsecondary science courses, Am. J. Phys. 65, 987 (1997).
- M. Zeilik, C. Schau, and N. Mattern, Conceptual astronomy. II. Replicating conceptual gains, probing attitude changes across three semesters, Am. J. Phys. 67, 923 (1999).
“Mindset Quiz” by Emily Diehl, https://classroom20.com/forum/topics/motivating-students-with?commentId=649749%3AComment%3A1167061.
- G. Hacisalihoglu, D. Stephens, S. Stephens, L. Johnson, and M. Edington, Enhancing undergraduate student success in STEM fields through growth-mindset and grit, Educ. Sci. 10, 279 (2020).
- D. A. Cook, R. M. Castillo, B. Gas, and A. R. Artino, Measuring achievement goal motivation, mindsets and cognitive load: Validation of three instruments’ scores, Med. Educ. 51, 1061 (2017).
- S. J. Troche and A. Kunz, The factorial structure and construct validity of a German translation of Dweck’s implicit theories of intelligence scale under consideration of the wording effect, Psychol. test and assessment modeling 62, 386 (2020), https://boris.unibe.ch/153429/.
- https://www.qualtrics.com.
- S.-J. Leslie, A. Cimpian, M. Meyer, and E. Freeland, Expectations of brilliance underlie gender distributions across academic disciplines, Science 347, 262 (2015).
- C. S. Dweck, Mindset: The New Psychology of Success (Random House, New York, 2006).
- Z. Y. Kalender, E. Marshman, C. D. Schunn, T. J. Nokes-Malach, and C. Singh, Framework for unpacking students’ mindsets in physics by gender, Phys. Rev. Phys. Educ. Res. 18, 010116 (2022).
- R. E. Scherr, M. Plisch, K. E. Gray, G. Potvin, and T. Hodapp, Fixed and growth mindsets in physics graduate admissions, Phys. Rev. Phys. Educ. Res. 13, 020133 (2017).
- A. J. Little, B. Humphrey, A. Green, A. Nair, and V. Sawtelle, Exploring mindset’s applicability to students’ experiences with challenge in transformed college physics courses, Phys. Rev. Phys. Educ. Res. 15, 010127 (2019).