Abstract
Little is known about the factors that influence engagement for adolescents participating in informal youth science programs. This study examined longitudinal reciprocal associations between adolescents’ science engagement, interest, and growth mindset. Participants were adolescents (Mage = 15.06, SD = 1.82 years, 66.8% female) from the UK (n = 168) and the US (n = 299). A cross lagged path analysis indicated that participants’ science growth mindset at baseline was positively related to interest, and engagement at year 1, and science interest at year 1 was positively related to growth mindset at year 2. Additionally, girls had lower science growth mindsets than boys. This evidence suggests that informal programs may encourage positive STEM trajectories by fostering engagement, growth mindset and interest.
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References
Adams, J., Gupta, P., & Cotumaccio, A. (2015). Long Term Participants: A museum program enhanced girls' STEM interest, motivation and persistence. Afterschool Matters, 20, 13–20.
Ahmavaara, A., & Houston, D. M. (2007). The effects of selective schooling and self-concept on adolescents’ academic aspiration: An examination of Dweck’s self-theory. British Journal of Educational Psychology, 77(3), 613–632. https://doi.org/10.1348/000709906X120132.
Ainley, M. (2012). Students’ Interest and Engagement in Classroom Activities. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of Research on Student Engagement (pp. 283–302). Springer US. https://doi.org/10.1007/978-1-4614-2018-7_13.
Ainslie, P. J., & Huffman, S. L. (2019). Human resource development and expanding STEM career learning opportunities: Exploration, internships, and externships. Advances in Developing Human Resources, 21(1), 35–48. https://doi.org/10.1177/1523422318814487.
Aschbacher, P. R., Ing, M., & Tsai, S. M. (2013). Boosting student interest in science. Phi Delta Kappan, 95(2), 47–51. https://doi.org/10.1177/003172171309500211.
Bae, C. L., & Lai, M. H. C. (2020). Opportunities to participate in science learning and student engagement: A mixed methods approach to examining person and context factors. Journal of Educational Psychology, 112(6), 1128–1153. https://doi.org/10.1037/edu0000410.
Bostwick, K. C. P., Collie, R. J., Martin, A. J., & Durksen, T. L. (2017). Students’ growth mindsets, goals, and academic outcomes in mathematics. Zeitschrift für Psychologie, 225(2), 107–116. https://doi.org/10.1027/2151-2604/a000287. (Implicit Theories: The Role and Impact of Malleable Mindsets).
Bostwick, K. C. P., Collie, R. J., Martin, A. J., & Durksen, T. L. (2020). Teacher, classroom, and student growth orientation in mathematics: A multilevel examination of growth goals, growth mindset, engagement, and achievement. Teaching and Teacher Education, 94, 103100 https://doi.org/10.1016/j.tate.2020.103100.
Brotman, J. S., & Moore, F. M. (2008). Girls and science: A review of four themes in the science education literature. Journal of Research in Science Teaching, 45(9), 971–1002. https://doi.org/10.1002/tea.20241.
Callanan, M. A., Legare, C. H., Sobel, D. M., Jaeger, G. J., Letourneau, S., McHugh, S. R., Willard, A., Brinkman, A., Finiasz, Z., Rubio, E., Barnett, A., Gose, R., Martin, J. L., Meisner, R., & Watson, J. (2020). Exploration, explanation, and parent–child interaction in museums. Monographs of the Society for Research in Child Development, 85(1), 7–137. https://doi.org/10.1111/mono.12412.
Dai, T., & Cromley, J. G. (2014). Changes in implicit theories of ability in biology and dropout from STEM majors: A latent growth curve approach. Contemporary Educational Psychology, 39(3), 233–247. https://doi.org/10.1016/j.cedpsych.2014.06.003.
Darr, C. W. (2012). Measuring student engagement: the development of a scale for formative use. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 707–723). Springer US. https://doi.org/10.1007/978-1-4614-2018-7_34.
Dweck, C. S. (1999). Self-theories: their role in motivation, personality, and development (Essays in Social Psychology). Psychology Press.
Dweck, C. S. (2017). The Journey to Children’s Mindsets—and Beyond. Child Development Perspectives, 11(2), 139–144. https://doi.org/10.1111/cdep.12225.
Enders, C. K. (2010). Applied missing data analysis. Guilford.
Fall, A.-M., & Roberts, G. (2012). High school dropouts: Interactions between social context, self-perceptions, school engagement, and student dropout. Journal of Adolescence, 35(4), 787–798. https://doi.org/10.1016/j.adolescence.2011.11.004.
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059.
Fredricks, J. A., Hofkens, T., Wang, M. T., Mortenson, E., & Scott, P. (2018). Supporting girls’ and boys’ engagement in math and science learning: A mixed methods study. Journal of Research in Science Teaching, 55(2), 271–298. https://doi.org/10.1002/tea.21419.
Greene, K. M., Lee, B., Constance, N., & Hynes, K. (2013). Examining youth and program predictors of engagement in out-of-school time programs. Journal of Youth and Adolescence, 42(10), 1557–1572. https://doi.org/10.1007/s10964-012-9814-3.
Grigg, S., Perera, H. N., McIlveen, P., & Svetleff, Z. (2018). Relations among math self efficacy, interest, intentions, and achievement: A social cognitive perspective. Contemporary Educational Psychology, 53, 73–86. https://doi.org/10.1016/j.cedpsych.2018.01.007.
Habig, B., & Gupta, P. (2021). Authentic STEM research, practices of science, and interest development in an informal science education program. International Journal of STEM Education, 8(1), 57 https://doi.org/10.1186/s40594-021-00314-y.
Harackiewicz, J., Durik, A., Barron, K., Linnenbrink-Garcia, L., & Tauer, J. (2008). The role of achievement goals in the development of interest: reciprocal relations between achievement goals, interest, and performance. Journal of Educational Psychology, 100, 105–122. https://doi.org/10.1037/0022-0663.100.1.105.
Hoffman, A. J., McGuire, L., Rutland, A., Hartstone-Rose, A., Irvin, M. J., Winterbottom, M., Balkwill, F., Fields, G. E., & Mulvey, K. L. (2020). The Relations and Role of Social Competencies and Belonging with Math and Science Interest and Efficacy for Adolescents in Informal STEM Programs. Journal of Youth and Adolescence, 54, 314–323.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1–55. https://doi.org/10.1080/10705519909540118.
Huang, X., Zhang, J., & Hudson, L. (2018). Impact of math self-efficacy, math anxiety, and growth mindset on math and science career interest for middle school students: The gender moderating effect. European Journal of Psychology of Education. https://doi.org/10.1007/s10212-018-0403-z.
Lee, C. S., Hayes, K. N., Seitz, J., DiStefano, R., & O’Connor, D. (2016). Understanding motivational structures that differentially predict engagement and achievement in middle school science. International Journal of Science Education, 38(2), 192–215. https://doi.org/10.1080/09500693.2015.1136452.
Lee, Y.-k, & Seo, E. (2019). Trajectories of implicit theories and their relations to scholastic aptitude: A mediational role of achievement goals. Contemporary Educational Psychology, 59, 101800 https://doi.org/10.1016/j.cedpsych.2019.101800.
Lewis, M. D., & Granic, I. (2000). Emotion, development, and self-organization: Dynamic systems approaches to emotional development. Cambridge University Press. https://doi.org/10.1017/CBO9780511527883.
Liu, A. S., & Schunn, C. D. (2018). The effects of school-related and home-related optional science experiences on science attitudes and knowledge. Journal of Educational Psychology, 110(6), 798–810. https://doi.org/10.1037/edu0000251.
Mesler, R. M., Corbin, C. M., & Martin, B. H. (2021). Teacher mindset is associated with development of students’ growth mindset. Journal of Applied Developmental Psychology, 76, 101299 https://doi.org/10.1016/j.appdev.2021.101299.
Muenks, K., Wigfield, A., Yang, J. S., & O’Neal, C. R. (2017). How true is grit? Assessing its relations to high school and college students’ personality characteristics, self-regulation, engagement, and achievement. Journal of Educational Psychology, 109(5), 599–620. https://doi.org/10.1037/edu0000153.
Muthén, L. K., & Muthén, B. O. (2013). Mplus User’s Guide. Seventh Edition. Muthén & Muthén.
National Research Council. (2009). Learning science in informal environments: People, places, and pursuits. National Academies Press.
Ortiz Alvarado, N. B., Rodríguez Ontiveros, M., & Ayala Gaytán, E. A. (2019). Do Mindsets Shape Students’ Well-Being and Performance? The Journal of Psychology, 153(8), 843–859. https://doi.org/10.1080/00223980.2019.1631141.
Park, D., Tsukayama, E., Yu, A., & Duckworth, A. L. (2020). The development of grit and growth mindset during adolescence. Journal of Experimental Child Psychology, 198, 104889 https://doi.org/10.1016/j.jecp.2020.104889.
Patall, E. A., Vasquez, A. C., Steingut, R. R., Trimble, S. S., & Pituch, K. A. (2016). Daily interest, engagement, and autonomy support in the high school science classroom. Contemporary Educational Psychology, 46, 180–194. https://doi.org/10.1016/j.cedpsych.2016.06.002.
Renninger, K. A., & Bachrach, J. E. (2015). Studying triggers for interest and engagement using observational methods. Educational Psychologist, 50(1), 58–69. https://doi.org/10.1080/00461520.2014.999920.
Romero, C., Master, A., Paunesku, D., Dweck, C. S., & Gross, J. J. (2014). Academic and emotional functioning in middle school: The role of implicit theories. Emotion, 14(2), 227–234. https://doi.org/10.1037/a0035490.
Sadler, P. M., Sonnert, G., Hazari, Z., & Tai, R. (2012). Stability and volatility of STEM career interest in high school: A gender study. Science Education, 96(3), 411–427. https://doi.org/10.1002/sce.21007.
Schmidt, J. A., Shumow, L., & Kackar-Cam, H. Z. (2017). Does mindset intervention predict students’ daily experience in classrooms? A comparison of seventh and ninth graders’ trajectories. Journal of Youth and Adolescence, 46(3), 582–602. https://doi.org/10.1007/s10964-016-0489-z.
Schwan, S., Grajal, A., & Lewalter, D. (2014). Understanding and engagement in places of science experience: Science museums, science centers, zoos, and aquariums. Educational Psychologist, 49(2), 70–85. https://doi.org/10.1080/00461520.2014.917588.
Selig, J. P., & Little, T. D. (2012). Autoregressive and cross-lagged panel analysis for longitudinal data. In Handbook of developmental research methods. (pp. 265–278). The Guilford Press.
Seo, E., Shen, Y., & Alfaro, E. C. (2019). Adolescents’ beliefs about math ability and their relations to STEM career attainment: Joint consideration of race/ethnicity and gender. Journal of Youth and Adolescence, 48(2), 306–325. https://doi.org/10.1007/s10964-018-0911-9.
Shaby, N., Assaraf, O. B.-Z., & Tal, T. (2017). The particular aspects of science museum exhibits that encourage students’ engagement. Journal of Science Education and Technology, 26(3), 253–268. https://doi.org/10.1007/s10956-016-9676-7.
Shively, R. L., & Ryan, C. S. (2013). Longitudinal changes in college math students’ implicit theories of intelligence. Social Psychology of Education, 16(2), 241–256. https://doi.org/10.1007/s11218-012-9208-0.
Todor, I. (2014). Investigating “the old stereotype” about boys/girls and mathematics: gender differences in implicit theory of intelligence and mathematics self-efficacy beliefs. Procedia - Social and Behavioral Sciences, 159, 319–323. https://doi.org/10.1016/j.sbspro.2014.12.380.
Upadyaya, K., & Salmela-Aro, K. (2013). Development of school engagement in association with academic success and well-being in varying social contexts: A review of empirical research. European Psychologist, 18(2), 136–147. https://doi.org/10.1027/1016-9040/a000143. (School Success).
Wang, M.-T., & Eccles, J. S. (2013). School context, achievement motivation, and academic engagement: A longitudinal study of school engagement using a multidimensional perspective. Learning and Instruction, 28, 12–23. https://pallas2.tcl.sc.edu/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=psyh&AN=2013-26474-003&site=ehost-live.
Wang, M.-T., Fredricks, J. A., Ye, F., Hofkens, T. L., & Linn, J. S. (2016). The Math and Science Engagement Scales: Scale development, validation, and psychometric properties. Learning and Instruction, 43, 16–26. https://doi.org/10.1016/j.learninstruc.2016.01.008.
Wang, M. T., & Eccles, J. S. (2012). Adolescent behavioral, emotional, and cognitive engagement trajectories in school and their differential relations to educational success. Journal of Research on Adolescence, 22(1), 31–39. https://doi.org/10.1111/j.1532-7795.2011.00753.x.
Yeager, D. S., Hanselman, P., Walton, G. M., Murray, J. S., Crosnoe, R., Muller, C., Tipton, E., Schneider, B., Hulleman, C. S., Hinojosa, C. P., Paunesku, D., Romero, C., Flint, K., Roberts, A., Trott, J., Iachan, R., Buontempo, J., Yang, S. M., Carvalho, C. M., Hahn, P. R., Gopalan, M., Mhatre, P., Ferguson, R., Duckworth, A. L., & Dweck, C. S. (2019). A national experiment reveals where a growth mindset improves achievement. Nature, 573(7774), 364–369. https://doi.org/10.1038/s41586-019-1466-y.
Yuan, K.-H., & Bentler, P. M. (2000). Robust mean and covariance structure analysis through iteratively reweighted least squares. Psychometrika, 65(1), 43–58. https://doi.org/10.1007/BF0229418.
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The authors would like to thank our practitioner partners at Centre of the Cell, EdVenture, Florence Nightingale Museum, Riverbanks Zoo & Garden, ThinkTank Science Museum, and Virginia Aquarium & Marine Science Center.
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A.J. developed the hypotheses, performed the statistical analysis, and drafted the manuscript; C.J.M. helped draft the manuscript; M.Z. helped collect the data and draft the manuscript; F.L. helped collect the data and draft the manuscript; LM helped collect the data and draft the manuscript; AJH helped collect the data and draft the manuscript; F.B. conceptualized the project and helped draft the manuscript; K.P.B. helped draft the manuscript; L.B. helped draft the manuscript; M.D. helped draft the manuscript; G.F. helped draft the manuscript; H.S. helped draft the manuscript; E.O. helped draft the manuscript; M.W. conceptualized the project and helped draft the manuscript; A.R. conceptualized the project and helped draft the manuscript; A.H.R. conceptualized the project and helped draft the manuscript; K.L.M. helped with the conceptualization of the project, data collection, analyses and drafting the manuscript. All authors have read and approved the final version of this manuscript.
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This work was supported in the United States by the National Science Foundation [Grant Number: DRL-1831593]; and collaboratively in the United Kingdom by the Wellcome Trust [Grant Number: 206259/Z/17/Z] and the Economic and Social Research Council.
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Joy, A., Mathews, C.J., Zhao, M. et al. Interest, Mindsets and Engagement: Longitudinal Relations in Science Orientations for Adolescents in Informal Science Programs. J Youth Adolescence 52, 1088–1099 (2023). https://doi.org/10.1007/s10964-023-01734-5
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DOI: https://doi.org/10.1007/s10964-023-01734-5