Abstract
The decreasing number of young students pursuing science careers has become a rising concern worldwide, particularly in China. Educational programs with empirical evidence of promoting young students’ pursuit of science careers are still lacking. Here, drawing on the existing literature, we designed and implemented a 3-day quasi-apprenticeship program in a research botanical garden of China. We used a pre-post test design, with hypotheses based on the Theory of Planned Behavior and provided both quantitative and qualitative data to evaluate the efficacy of the program on 319 seventh- and eighth-grade Chinese students from 15 public schools. The quantitative findings by using generalized estimating equations indicated that students’ attitudes, subjective norms, science self-efficacy, and career intention were significantly enhanced after the program; the structural equation modeling result showed that the enhancement of career intention could be explained by increases in subjective norms and science self-efficacy. The qualitative findings also supported the notion that a high proportion of students mentioned gains in increased science self-efficacy from attending the program. We suggest a short-term program, engaging students in group work of authentic science practices with mentors in an authentic context, might be a cost-effective strategy for supporting Chinese young students’ pursuit of science careers. This study also provides valuable information, through both pedagogical and theoretical structure elements, for educators and researchers who design, deliver, and evaluate educational programs to promote secondary school students’ pursuit of science careers.
Similar content being viewed by others
Change history
05 September 2019
A Correction to this paper has been published: https://doi.org/10.1007/s11165-019-09890-0
References
Adam, F. (2014). Measuring national innovation performance. Berlin, Heidelberg: Springer.
Adedokun, O. A., Bessenbacher, A. B., Parker, L. C., Kirkham, L. L., & Burgess, W. D. (2013). Research skills and STEM undergraduate research students’ aspirations for research careers: mediating effects of research self-efficacy. Journal of Research in Science Teaching, 50(8), 940–951. https://doi.org/10.1002/tea.21102.
Adler-Baeder, F., Calligas, A., Skuban, E., Keiley, M., Ketring, S., & Smith, T. (2013). Linking changes in couple functioning and parenting among couple relationship education participants. Family Relations, 62(2), 284–297. https://doi.org/10.1111/fare.12006.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T.
Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32(4), 665–683. https://doi.org/10.1111/j.1559-1816.2002.tb00236.x.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423.
Archer, L., DeWitt, J., Osborne, J., Dillon, J., Willis, B., & Wong, B. (2010). “Doing” science versus “being” a scientist: Examining 10/11-year-old schoolchildren’s constructions of science through the lens of identity. Science Education, 94(4), 617–639. https://doi.org/10.1002/sce.20399.
Archer, L., DeWitt, J., & Willis, B. (2014). Adolescent boys’ science aspirations: masculinity, capital, and power. Journal of Research in Science Teaching, 51(1), 1–30. https://doi.org/10.1002/tea.21122.
Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: a meta-analytic review. British Journal of Social Psychology, 40(4), 471–499. https://doi.org/10.1348/014466601164939.
Arnold, J., Loan-Clarke, J., Coombs, C., Wilkinson, A., Park, J., & Preston, D. (2006). How well can the theory of planned behavior account for occupational intentions? Journal of Vocational Behavior, 69(3), 374–390. https://doi.org/10.1016/j.jvb.2006.07.006.
Aschbacher, P. R., Li, E., & Roth, E. J. (2010). Is science me? High school students' identities, participation and aspirations in science, engineering, and medicine. Journal of Research in Science Teaching, 47(5), 564–582. https://doi.org/10.1002/tea.20353.
Bandura, A. (1997). Self-efficacy: the exercise of control. New York: W. H. Freeman and Company.
Barmby, P., Kind, P. M., & Jones, K. (2008). Examining changing attitudes in secondary school science. International Journal of Science Education, 30(8), 1075–1093. https://doi.org/10.1080/09500690701344966.
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. https://doi.org/10.1037/0033-2909.88.3.588.
Burgin, S. R., & Sadler, T. D. (2013). Supporting student experiences in authentic scientific research. The Science Teacher, 80(9), 44–49.
Burgin, S. R., Sadler, T. D., & Koroly, M. J. (2012). High school student participation in scientific research apprenticeships: variation in and relationships among student experiences and outcomes. Research in Science Education, 42(3), 439–467. https://doi.org/10.1007/s11165-010-9205-2.
Burgin, S. R., McConnell, W. J., & Flowers, A. M., III. (2015). ‘I actually contributed to their research’: the influence of an abbreviated summer apprenticeship program in science and engineering for diverse high-school learners. International Journal of Science Education, 37(3), 411–445. https://doi.org/10.1080/09500693.2014.989292.
Carlone, H. B., & Johnson, A. (2007). Understanding the science experiences of successful women of color: science identity as an analytic lens. Journal of Research in Science Teaching, 44(8), 1187–1218. https://doi.org/10.1002/tea.20237.
Chemers, M. M., Zurbriggen, E. L., Syed, M., Goza, B. K., & Bearman, S. (2011). The role of efficacy and identity in science career commitment among underrepresented minority students. Journal of Social Issues, 67(3), 469–491. https://doi.org/10.1111/j.1540-4560.2011.01710.x.
Chen, C., Wang, L., Chen, H., & Yu, G. (2014). An investigation on the status and problems of extracurricular learning activities of primary and middle school students in China. Educational Research, 6, 109–116.
Creswell, J. W. (2003). Research design, qualitative, quantitative, and mixed methods approaches. Thousand Oaks, CA: Sage Publications, Inc..
Dabney, K. P., Tai, R. H., & Scott, M. R. (2016). Informal science: family education, experiences, and initial interest in science. International Journal of Science Education, Part B, 6(3), 263–282. https://doi.org/10.1080/21548455.2015.1058990.
De Leeuw, A., Valois, P., Ajzen, I., & Schmidt, P. (2015). Using the theory of planned behavior to identify key beliefs underlying pro-environmental behavior in high-school students: implications for educational interventions. Journal of Environmental Psychology, 42, 128–138. https://doi.org/10.1016/j.jenvp.2015.03.005.
Deekens, V. M., Greene, J. A., & Lobczowski, N. G. (2018). Monitoring and depth of strategy use in computer-based learning environments for science and history. British Journal of Educational Psychology, 88(1), 63–79. https://doi.org/10.1111/bjep.12174.
DeWitt, J., & Archer, L. (2015). Who aspires to a science career? A comparison of survey responses from primary and secondary school students. International Journal of Science Education, 37(13), 2170–2192. https://doi.org/10.1080/09500693.2015.1071899.
DeWitt, J., Osborne, J., Archer, L., Dillon, J., Willis, B., & Wong, B. (2013). Young children’s aspirations in science: the unequivocal, the uncertain and the unthinkable. International Journal of Science Education, 35(6), 1037–1063. https://doi.org/10.1080/09500693.2011.608197.
Diamantopoulos, A., Sarstedt, M., Fuchs, C., Wilczynski, P., & Kaiser, S. (2012). Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective. Journal of the Academy of Marketing Science, 40(3), 434–449. https://doi.org/10.1007/s11747-011-0300-3.
Elliott, M. A., & Armitage, C. J. (2009). Promoting drivers’ compliance with speed limits: testing an intervention based on the theory of planned behaviour. British Journal of Psychology, 100(1), 111–132. https://doi.org/10.1348/000712608X318626.
Evers, A., & Sieverding, M. (2015). Academic career intention beyond the PhD: can the theory of planned behavior explain gender differences? Journal of Applied Social Psychology, 45(3), 158–172. https://doi.org/10.1111/jasp.12285.
Farland-Smith, D. (2012). Personal and social interactions between young girls and scientists: examining critical aspects for identity construction. Journal of Science Teacher Education, 23(1), 1–18. https://doi.org/10.1007/s10972-011-9259-7.
Flowers, S. K., Beyer, K. M., Pérez, M., & Jeffe, D. B. (2016). Early environmental field research career exploration: an analysis of impacts on precollege apprentices. CBE-Life Sciences Education, 15(4), ar67. https://doi.org/10.1187/cbe.15-11-0230.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312.
Guo, G. (2014). The theory and practice study of informal science curriculum and its development—a case study of senior high school X in city C (doctoral dissertation). In Northeast Normal University. China: Changchun.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. Englewood Cliffs, NJ: Printice Hall.
Hardeman, W., Johnston, M., Johnston, D., Bonetti, D., Wareham, N., & Kinmonth, A. L. (2002). Application of the theory of planned behaviour in behaviour change interventions: a systematic review. Psychology and Health, 17(2), 123–158. https://doi.org/10.1080/08870440290013644a.
Hazari, Z., Sonnert, G., Sadler, P. M., & Shanahan, M. C. (2010). Connecting high school physics experiences, outcome expectations, physics identity, and physics career choice: a gender study. Journal of Research in Science Teaching, 47(8), 978–1003. https://doi.org/10.1002/tea.20363.
Hu, S., & Chen, J. (2016). Place-based inter-generational communication on local climate improves adolescents’ perceptions and willingness to mitigate climate change. Climatic Change, 138(3–4), 425–438. https://doi.org/10.1007/s10584-016-1746-6.
Huang, S. F., Zheng, W. L., Liao, J. Y., Huang, C. M., Lin, T. Y., & Guo, J. L. (2018). The effectiveness of a theory-based drama intervention in preventing illegal drug use among students aged 14–15 years in Taiwan. Health Education Journal, 77(4), 470–481. https://doi.org/10.1177/0017896918768647.
Hughes, R. M., Nzekwe, B., & Molyneaux, K. J. (2013). The single sex debate for girls in science: a comparison between two informal science programs on middle school students’ STEM identity formation. Research in Science Education, 43(5), 1979–2007. https://doi.org/10.1007/s11165-012-9345-7.
Kanter, D. E., & Konstantopoulos, S. (2010). The impact of a project-based science curriculum on minority student achievement, attitudes, and careers: the effects of teacher content and pedagogical content knowledge and inquiry-based practices. Science Education, 94(5), 855–887. https://doi.org/10.1002/sce.20391.
Karimi, S., Biemans, H. J., Lans, T., Chizari, M., & Mulder, M. (2016). The impact of entrepreneurship education: a study of Iranian students’ entrepreneurial intentions and opportunity identification. Journal of Small Business Management, 54(1), 187–209. https://doi.org/10.1111/jsbm.12137.
Kothe, E. J., Mullan, B. A., & Butow, P. (2012). Promoting fruit and vegetable consumption. Testing an intervention based on the theory of planned behaviour. Appetite, 58(3), 997–1004. https://doi.org/10.1016/j.appet.2012.02.012.
Levêque, J. G., & Burns, R. C. (2017). A structural equation modeling approach to water quality perceptions. Journal of Environmental Management, 197, 440–447. https://doi.org/10.1016/j.jenvman.2017.04.024.
Lindahl B. (2007). A longitudinal study of students’ attitudes towards science and choice of career. NARST annual conference, April 15–18, 2007. New Orleans.
Maltese, A. V., & Tai, R. H. (2011). Pipeline persistence: examining the association of educational experiences with earned degrees in STEM among US students. Science Education, 95(5), 877–907. https://doi.org/10.1002/sce.20441.
McEachan, R. R. C., Conner, M., Taylor, N. J., & Lawton, R. J. (2011). Prospective prediction of health-related behaviours with the theory of planned behaviour: a meta-analysis. Health Psychology Review, 5, 97–144. https://doi.org/10.1080/17437199.2010.521684.
McHugh, M. L. (2012). Interrater reliability: the kappa statistic. Biochemia Medica: Biochemia Medica, 22(3), 276–282.
OECD. (2016). PISA 2015 results (volume I): excellence and equity in education. Paris: OECD Publishing. https://doi.org/10.1787/9789264266490-en.
Osborne, J., Simon, S., & Collins, S. (2003). Attitudes towards science: a review of the literature and its implications. International Journal of Science Education, 25(9), 1049–1079. https://doi.org/10.1080/0950069032000032199.
Petrescu, M. (2013). Marketing research using single-item indicators in structural equation models. Journal of Marketing Analytics, 1(2), 99–117. https://doi.org/10.1057/jma.2013.7.
Prokop, P., Prokop, M., & Tunnicliffe, S. D. (2007a). Is biology boring? Student attitudes toward biology. Journal of Biological Education, 42(1), 36–39. https://doi.org/10.1080/00219266.2007.9656105.
Prokop, P., Tuncer, G., & Kvasničák, R. (2007b). Short-term effects of field programme on students’ knowledge and attitude toward biology: a Slovak experience. Journal of Science Education and Technology, 16(3), 247–255. https://doi.org/10.1007/s10956-007-9044-8.
Rozek, C. S., Svoboda, R. C., Harackiewicz, J. M., Hulleman, C. S., & Hyde, J. S. (2017). Utility-value intervention with parents increases students’ STEM preparation and career pursuit. Proceedings of the National Academy of Sciences, 114(5), 909–914. https://doi.org/10.1073/pnas.1607386114.
Sadler, T. D., Burgin, S., McKinney, L., & Ponjuan, L. (2010). Learning science through research apprenticeships: a critical review of the literature. Journal of Research in Science Teaching, 47(3), 235–256. https://doi.org/10.1002/tea.20326.
Sainsbury, K., Mullan, B., & Sharpe, L. (2015). Predicting intention and behaviour following participation in a theory-based intervention to improve gluten free diet adherence in coeliac disease. Psychology and Health, 30(9), 1063–1074. https://doi.org/10.1080/08870446.2015.1022548.
Sakurai, R., Jacobson, S. K., Matsuda, N., & Maruyama, T. (2015). Assessing the impact of a wildlife education program on Japanese attitudes and behavioral intentions. Environmental Education Research, 21(4), 542–555. https://doi.org/10.1080/13504622.2014.898246.
Sánchez, J. C. (2013). The impact of an entrepreneurship education program on entrepreneurial competencies and intention. Journal of Small Business Management, 51(3), 447–465. https://doi.org/10.1111/jsbm.12025.
Schlaegel, C., & Koenig, M. (2014). Determinants of entrepreneurial intent: a meta-analytic test and integration of competing models. Entrepreneurship Theory and Practice, 38, 291–332. https://doi.org/10.1111/etap.12087.
Shang, X. (2010). The effect of worksheet on museum learning (master dissertation). In Beijing Normal University. China: Beijing.
Sheldrake, R. (2018). Changes in children’s science-related career aspirations from age 11 to age 14. Research in Science Education, 1–30. https://doi.org/10.1007/s11165-018-9739-2
Shi, C. H., & Zhao, Y. D. (2017). Research on the willingness of Chinese adolescents to pursuit science career and its influence factors. Global Science, Technology and Economy Outlook, 32(3), 54–58. https://doi.org/10.3772/j.issn.1009-8623.2017.03.009.
Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis: modeling change and event occurrence. New York: Oxford University Press.
Stake, J. E., & Mares, K. R. (2001). Science enrichment programs for gifted high school girls and boys: predictors of program impact on science confidence and motivation. Journal of Research in Science Teaching, 38(10), 1065–1088. https://doi.org/10.1002/tea.10001.
Steg, L., & Vlek, C. (2009). Encouraging pro-environmental behaviour: an integrative review and research agenda. Journal of Environmental Psychology, 29(3), 309–317. https://doi.org/10.1016/j.jenvp.2008.10.004.
Steiger, J. H. (1990). Structural model evaluation and modification: an interval estimation approach. Multivariate Behavioral Research, 25(2), 173–180. https://doi.org/10.1207/s15327906mbr2502_4.
Tai, R. H., Liu, C. Q., Maltese, A. V., & Fan, X. (2006). Planning early for careers in science. Science, 312, 1143–1144. https://doi.org/10.1126/science.1128690.
The Centre People’s Government of the People’s Republic of China. (2010a). The national medium- and long-term talent development plan (2010–2020). Beijing: The Centre People’s Government of the People’s Republic of China http://www.gov.cn/jrzg/2010-06/06/content_1621777.htm. Accessed 20 March 2013.
The Centre People’s Government of the People’s Republic of China. (2010b). The national plan for medium- and long-term education reform and development (2010–2020). Beijing: The Centre People’s Government of the People’s Republic of China http://www.gov.cn/jrzg/2010-07/29/content_1667143.htm. Accessed 20 March 2013.
Touloumis, A. (2014). R package multgee: a generalized estimating equations solver for multinomial responses. arXiv preprint arXiv:1410.5232.
Trafimow, D., & Finlay, K. A. (1996). The importance of subjective norms for a minority of people: between subjects and within-subjects analyses. Personality and Social Psychology Bulletin, 22(8), 820–828. https://doi.org/10.1177/0146167296228005.
Uitto, A. (2014). Interest, attitudes and self-efficacy beliefs explaining upper-secondary school students’ orientation towards biology-related careers. International Journal of Science and Mathematics Education, 12, 1425–1444. https://doi.org/10.1007/s10763-014-9516-2.
Vishnumolakala, V. R., Southam, D. C., Treagust, D. F., Mocerino, M., & Qureshi, S. (2017). Students’ attitudes, self-efficacy and experiences in a modified process-oriented guided inquiry learning undergraduate chemistry classroom. Chemistry Education Research and Practice, 18(2), 340–352. https://doi.org/10.1039/C6RP00233A.
Weber, R. P. (1990). Basic content analysis. Newbury Park, CA: Sage.
Yanowitz, K. L. (2016). Students’ perceptions of the long-term impact of attending a “CSI science camp”. Journal of Science Education and Technology, 25(6), 916–928. https://doi.org/10.1007/s10956-016-9635-3.
Yin, R. (2003). Case study research: design and methods (3rd ed.). Thousand Oaks, CA: Sage.
Zhai, J. Q., & Zhu, H. X. (2015). A survey on Chinese secondary students’ aspirations in science. Studies on Science Popularization, 10(1), 42–48.
Zhang, D. H., & Tang, X. (2017). The influence of extracurricular activities on middle school students’ science learning in China. International Journal of Science Education, 39(10), 1381–1402. https://doi.org/10.1080/09500693.2017.1332797.
Zhao, B., & Chen, L. (2018). An investigation on enhancement effect of the Youth University Science Camp on campers’ scientific literarcy. Studies on Science Populariztion, 4, 61–73.
Zhou, J., & Zhang, Z. M. (2013). The value of science communication activities to school science education: a case study of a science communication activity themed with “water saving and protection”. Science Populariztion, 8(2), 61–65. https://doi.org/10.19293/j.cnki.1673-8357.2013.02.011.
Acknowledgements
The authors thank especially Wenya Zhao, Hui Ji, and all other TREP project members, and all participating students and teachers involved in this study, because the project could have not been achieved without them. The authors also thank Richard T. Corlett, Christina Lumsden, and Francis Commercon for their careful reading and comments on this manuscript.
Funding
This study was supported by the Chinese Academy of Sciences 135 Program (grant number 2017XTBG-F04) and the Chinese Union of Botanical Gardens (grant number KFJ-1W-NO1-11).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The authors declare that they have no conflict of interest.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The original version of this article was revised: 1) In Table 1, “program-related changes” in the second column should be placed in the last column to make the expression “ Students’ written descriptions of program-related changes” complete; 2) In paragraph 3 line 4 in the section of Qualitative Findings, as for the sentence “Despite some inconsistences, views, attitude and interest are highly correlated”, “views,” should be deleted for clarity; 3) Appendix 2 includes Tables 10 and 11. Hence, the title “Appendix 2 Summary of quantitative findings for seventh- and eighth-grade students” should be placed in the front of Table 10. The said corrections have been applied to the present article.
Appendices
Appendix 1
Appendix 2 Summary of quantitative findings for seventh- and eighth-grade students
Rights and permissions
About this article
Cite this article
Zhao, J., Hu, S., He, H. et al. Becoming a Biologist: the Impact of a Quasi-Apprenticeship Program on Chinese Secondary School Students’ Career Intention. Res Sci Educ 51 (Suppl 2), 669–695 (2021). https://doi.org/10.1007/s11165-019-9832-1
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11165-019-9832-1