Abstract
Knowledge about chemistry self-concepts of secondary school students is still limited although it could help to better understand students’ achievement and career choices. The present article explores three aspects of chemistry self-concepts of secondary school students in Germany: the relations of chemistry self-concept with (i) gender and cultural background, (ii) learning goal orientations in chemistry, and (iii) the perceptions of linguistic abilities and the perception of the social context of chemistry class. Regarding (i), literature suggested that boys and students belonging to the dominant ethnic groups would have stronger self-concepts than girls and students belonging to non-dominant ethnic groups. Contrary to our expectations, the present study did not show significant effects for gender and ethnic background. Rather, the study reveals an interaction effect: boys without migration background tend to score higher than girls. In the group of students with a Turkish migration background, this relation is inversed: girls tend to hold stronger chemistry self-concepts than boys. Possible reasons for this, as well as implications for research and chemistry teaching, are discussed. Moreover, regarding (ii) and (iii), the study shows that chemistry self-concept seems to be closely related to learning goal orientations, the perception of the relationship with the chemistry teacher, and the perception of abilities in chemistry language. This underlines the importance of chemistry self-concept for learning processes.
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References
Archer, L., DeWitt, J., Osborne, J., Dillon, J., Willis, B., & Wong, B. (2013). ‘Not girly, not sexy, not glamorous’: Primary school girls’ and parents’ constructions of science aspirations. Pedagogy, Culture & Society, 21(1), 171–194. https://doi.org/10.1080/14681366.2012.748676
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
Baron, A. S., Schmader, T., Cvencek, D., & Meltzoff, A. N. (2014). The gendered self-concept: How implicit gender stereotypes and attitudes shape self-definition. In P. J. Leman & H. R. Tenenbaum (Eds.), Gender and development (pp. 109–132). Psychology Press.
Batyra, A. (2017a). Gender gaps in student achievement in Turkey: Evidence from the Programme for International Student Assessment (PISA) 2015. http://en.egitimreformugirisimi.org/wp-content/uploads/2017/03/PISA-%C4%B0NG%C4%B0L%C4%B0ZCE.pdf
Batyra, A. (2017b). Gender gaps in student achievement in Turkey: Evidence from Trends in International Mathematics and Science Study (TIMSS) 2015. https://aydindoganvakfi.org.tr/static/media/images/files/TIMSS_ENG.pdf
Bauer, C. F. (2005). Beyond ‘student attitudes’: Chemistry self-concept inventory for assessment of the affective component of student learning. Journal of Chemical Education, 82(12), 1864–1870. https://doi.org/10.1021/ed082p1864
Bauer, C. F. (2008). Attitude toward chemistry: A semantic differential instrument for assessing curriculum impacts. Journal of Chemical Education, 85(10), 1440–1445. https://doi.org/10.1021/ed085p1440
Bless, H., Wänke, M., Bohner, G., Fellhauer, R. F., & Schwarz, N. (1994). Need for cognition: Eine Skala zur Erfassung von Engagement und Freude bei Denkaufgaben. Zeitschrift Für Sozialpsychologie, 147–154.
Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116–131. https://doi.org/10.1037/0022-3514.42.1.116
Dishon-Berkovits, M. (2014). A study of motivational influences on academic achievement. Social Psychology of Education, 17(2), 327–342. https://doi.org/10.1007/s11218-014-9257-7
Dweck, C. S. (2000). Self-theories: Their role in motivation, personality, and development. Psychology Press.
Eccles, J. S., & Wang, M.-T. (2016). What motivates females and males to pursue careers in mathematics and science? International Journal of Behavioral Development, 40(2), 100–106. https://doi.org/10.1177/0165025415616201
Enders, C. K., & Tofighi, D. (2007). Centering predictor variables in cross-sectional multilevel models: A new look at an old issue. Psychological Methods, 12(2), 121–138. https://doi.org/10.1037/1082-989X.12.2.121
Inchley, J., Currie, D., Young, T., Samdal, O., Torsheim, T., Augustson, L., Mathison, F., et al. (Eds.). (2016). Growing up unequal: Gender and socioeconomic differences in young people’s health and well-being. Health Behaviour in School-Aged Children (HBSC) study. International report from the 2013/2014 survey. World Health Organization.
Jansen, M., Schroeders, U., & Lüdtke, O. (2014). Academic self-concept in science: Multidimensionality, relations to achievement measures, and gender differences. Learning and Individual Differences, 30(11), 11–21. https://doi.org/10.1016/j.lindif.2013.12.003
Jurik, V., Gröschner, A., & Seidel, T. (2013). How student characteristics affect girls’ and boys’ verbal engagement in physics instruction. Learning and Instruction, 23, 33–42. https://doi.org/10.1016/j.learninstruc.2012.09.002
Kline, P. (2000). The handbook of psychological testing (2nd ed.). Routledge.
Markic, S., & Childs, P. E. (2016). Language and the teaching and learning of chemistry. Chemistry Education Research and Practice, 17(3), 434–438. https://doi.org/10.1039/C6RP90006B
Marsh, H. W., Byrne, B. M., & Shavelson, R. J. (1988). A multifaceted academic self-concept: Its hierarchical structure and its relation to academic achievement. Journal of Educational Psychology, 80(3), 366–380.
Marsh, H. W. (1990). Causal ordering of academic self-concept and academic achievement: A multiwave, longitudinal panel analysis. Journal of Educational Psychology, 82(4), 646–656. https://doi.org/10.1037/0022-0663.82.4.646
Marsh, H. W., & Craven, R. G. (2006). Reciprocal effects of self-concept and performance from a multidimensional perspective: Beyond seductive pleasure and unidimensional perspectives. Perspectives on Psychological Science, 1(2), 133–163. https://doi.org/10.1111/j.1745-6916.2006.00010.x
Ng, K. T., Lay, Y. F., Areepattamannil, S., Treagust, D. F., & Chandrasegaran, A. L. (2012). Relationship between affect and achievement in science and mathematics in Malaysia and Singapore. Research in Science & Technological Education, 30(3), 225–237. https://doi.org/10.1080/02635143.2012.708655
Nielsen, S. E., & Yezierski, E. J. (2016). Beyond academic tracking: Using cluster analysis and self-organizing maps to investigate secondary students’ chemistry self-concept. Chemistry Education Research and Practice, 17(4), 711–722. https://doi.org/10.1039/C6RP00058D
Nieswandt, M. (2007). Student affect and conceptual understanding in learning chemistry. Journal of Research in Science Teaching, 44(7), 908–937.
OECD. (2005). PISA 2003 technical report. OECD Publishing. https://doi.org/10.1787/9789264010543-en
OECD. (2009a). Chart A4.6 tertiary graduates in science-related fields among 25-34 year-olds in employment, by gender (2009). https://doi.org/10.1787/888932460192
OECD. (2009b). PISA 2006 technical report. OECD Publishing.
OECD. (2014). PISA 2012 technical report. OECD Publishing.
Raufelder, D., Sahabandu, D., Martínez, G. S., & Escobar, V. (2015). The mediating role of social relationships in the association of adolescents’ individual school self-concept and their school engagement, belonging and helplessness in school. Educational Psychology, 35(2), 137–157. https://doi.org/10.1080/01443410.2013.849327
Riegle-Crumb, C., Moore, C., & Ramos-Wada, A. (2011). Who wants to have a career in science or math? Exploring adolescents’ future aspirations by gender and race/ethnicity. Science Education, 95(3), 458–476. https://doi.org/10.1002/sce.20431
Rüschenpöhler, L., & Markic, S. (2019a). Self-concept research in science and technology education: Theoretical foundation, measurement instruments, and main findings. Studies in Science Education, 55(1), 37–68. https://doi.org/10.1080/03057267.2019.1645533
Rüschenpöhler, L., & Markic, S. (2019b). A mixed methods approach to culture-sensitive academic self-concept research. Education Sciences, 9(3), 240. https://doi.org/10.3390/educsci9030240
Rüschenpöhler, L., & Markic, S. (2020). Secondary school students’ chemistry self-concepts: Gender and culture, and the impact of chemistry self-concept on learning behaviour. Chemistry Education Research and Practice, 21(1), 209–219. https://doi.org/10.1039/C9RP00120D
Shavelson, R. J., Hubner, J. J., & Stanton, G. C. (1976). Self-concept: Validation of construct interpretations. Review of Educational Research, 46(3), 407–441. https://doi.org/10.3102/00346543046003407
Sheldrake, R. (2016). Students’ intentions towards studying science at upper-secondary school: The differential effects of under-confidence and over-confidence. International Journal of Science Education, 38(8), 1256–1277. https://doi.org/10.1080/09500693.2016.1186854
Statistisches Bundesamt. (2013). Bevölkerung und Erwerbstätigkeit Bevölkerung mit Migrationshintergrund: Ergebnisse des Mikrozensus 2013. Statistisches Bundesamt.
Wood, L. C., Ebenezer, J., & Boone, R. (2013). Effects of an intellectually caring model on urban African American alternative high school students’ conceptual change and achievement in chemistry. Chemistry Education Research and Practice, 14(4), 390–407. https://doi.org/10.1039/C3RP00021D
World Medical Association. (2013). World Medical Association declaration of Helsinki: Ethical principles for medical research involving human subjects. Journal of the American Medical Association, 310(20), 2191. https://doi.org/10.1001/jama.2013.281053
Xu, X., & Lewis, J. E. (2011). Refinement of a chemistry attitude measure for college students. Journal of Chemical Education, 88(5), 561–568. https://doi.org/10.1021/ed900071q
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This research was partly funded by a grant of the internal research funding at Ludwigsburg University of Education.
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Rüschenpöhler, L., Markic, S. (2021). Psychological Patterns in Chemistry Self-Concept: Relations with Gender and Culture. In: Levrini, O., Tasquier, G., Amin, T.G., Branchetti, L., Levin, M. (eds) Engaging with Contemporary Challenges through Science Education Research. Contributions from Science Education Research, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-74490-8_13
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