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INTEREST, ATTITUDES AND SELF-EFFICACY BELIEFS EXPLAINING UPPER-SECONDARY SCHOOL STUDENTS’ ORIENTATION TOWARDS BIOLOGY-RELATED CAREERS

  • ANNA UITTOEmail author
Article

Abstract

The aim of the study was to discover the contribution of students’ interest in school biology, as well as their self-efficacy and attitudes towards different science subjects and mathematics when explaining students’ orientation towards biology-related careers at upper-secondary school. The data of 321 K-11 students (49 % women) were analyzed. Human biology and gene technology was the most interesting topics of biology among the students. The students’ self-efficacy belief was highest in geography and lowest in mathematics. Male students had higher self-efficacy in mathematics and science subjects, but in biology, no gender difference was found. Self-efficacy in biology and geography intercorrelated, as did self-efficacy in mathematics, physics, and chemistry. Regression analysis revealed that interest and self-efficacy in biology and positive attitudes to biology as school subjects explained girls’ orientation towards a biology-related career, as did low self-efficacy in physics and geography. For boys, only interest in biology, positive attitudes to biology as a school subject, and self-efficacy in biology explained their biology-related career orientation. The students’ attitudes and self-efficacy beliefs in science subjects should be taken into account in secondary school biology education, because gender stereotypes and low self-efficacy beliefs may affect students’ future career plans.

Key words

attitude biology chemistry geography interest mathematics physics self-efficacy upper-secondary school 

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Supplementary material

10763_2014_9516_MOESM1_ESM.docx (15 kb)
Appendix 1 The factor items, KMO, Cronbach’s alpha, and the range of factor loadings used to measure students’ interest in different topics of biology (DOCX 15 kb)
10763_2014_9516_MOESM2_ESM.docx (15 kb)
Appendix 2 The factor items, the range of factor loadings, and Cronbach’s alpha used to measure students’ attitudes towards science subjects, geography and mathematics. Bg biology, Phy physics, Ch chemistry, Ge geography, Ma mathematics, KMO = 0.75 – 0.82 (DOCX 14 kb)
10763_2014_9516_MOESM3_ESM.docx (14 kb)
Appendix 3 The items used to measure students’ general academic self-efficacy, Cronbach’ s alpha = 0.79,R reversed items. Range of communalities for the single factor solution is 0.25 – 0.48, KMO = 0.8 (DOCX 14 kb)
10763_2014_9516_MOESM4_ESM.docx (14 kb)
Appendix 4 The items used to measure students’ self-efficacy beliefs in different science subjects. Bg biology, Phy physics, Ch chemistry, Ge geography, Ma mathematics, R reversed items. Range of communalities for the single factor solution is 0.18 – 0.67, KMO = 0.75 – 0.89 (DOCX 14 kb)

References

  1. Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W.H. Freeman.Google Scholar
  2. Baram-Tsabari, A., Sethi, R. J., Bry, L. & Yarden, A. (2010). Identifying students’ interests in biology using a decade of self-generated questions. Eurasia Journal of Mathematics, Science & Technology Education, 6(1), 63–75.Google Scholar
  3. Britner, S. L. (2008). Motivation in high school science students: A comparison of gender differences in life, physical, and earth science classes. Journal of Research in Science Teaching, 45(8), 955–970.CrossRefGoogle Scholar
  4. Britner, S. L. & Pajares, F. (2006). Sources of science self-efficacy beliefs of middle school students. Journal of Research in Science Teaching, 43(5), 485–499.CrossRefGoogle Scholar
  5. Bybee, R. & McRae, B. (2011). Scientific literacy and student attitudes: Perspectives from PISA 2006 science. International Journal of Science Education, 33(1), 7–26.CrossRefGoogle Scholar
  6. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale: Erlbaum.Google Scholar
  7. Eagly, A. & Chaiken, S. (1993). The psychology of attitudes. Fort Worth: Harcourt Brace Jovanovich College Publishers.Google Scholar
  8. Finnish National Board of Education, National core curriculum for basic education (2004). Helsinki, Finland.Google Scholar
  9. Finnish National Board of Education, National core curriculum for upper secondary schools (2003). Helsinki, Finland.Google Scholar
  10. Gedrovics, J., Wäreborn, I. & Jeronen, E. (2006). Science subjects choice as a criterion of students’ attitudes to science. Journal of Baltic Science Education, 1(9), 74–85.Google Scholar
  11. Häussler, P. & Hoffmann, L. (2000). A curricular frame for physics education: Development, comparison with students’ interests, and impact on students’ achievement and self-concept. Science Education, 84, 689–705.CrossRefGoogle Scholar
  12. Hidi, S. & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41(2), 111–127.CrossRefGoogle Scholar
  13. Ji, P. Y., Lapan, R. T. & Tate, K. (2004). Vocational interests and career efficacy expectations in relation to occupational sex-typing beliefs for eighth grade students. Journal of Career Development, 31, 143–154.CrossRefGoogle Scholar
  14. Kjærnsli, M. & Lie, S. (2011). Students’ preference for science careers: international comparisons based on PISA 2006. International Journal of Science Education, 33(1), 121–144.CrossRefGoogle Scholar
  15. Krapp, A. (2002). An educational-psychological theory of interest and its relation to SDT. In E. L. Deci & R. M. Ryan (Eds.), Handbook of Self-Determination Research (pp. 405–427). Rochester: University of Rochester Press.Google Scholar
  16. Krapp, A. & Prezel, M. (2011). Research on interest in science: Theories, methods, and findings. International Journal of Science Education, 33(1), 27–50.CrossRefGoogle Scholar
  17. Krapp, A., Hidi, S. & Renninger, A. (1992). Interest, learning and development. In K. A. Renninger, S. Hidi & A. Krapp (Eds.), The role of interest in learning and development (pp. 3–25). Hillsdale: Erlbaum.Google Scholar
  18. Lavonen, J., Juuti, K., Meisalo, V., Byman, R. & Uitto, A. (2005). Pupil interest in physics: A survey in Finland. NorDiNa : Nordic studies in science education, 2, 72–85.Google Scholar
  19. Lavonen, J., Gedrovics, J., Byman, R., Meisalo, V., Juuti, K. & Uitto, A. (2008). Students’ motivational orientations and career choice in science and technology. A comparative investigation in Finland and Latvia. Journal of Baltic Science Education, 7(2), 86–102.Google Scholar
  20. Lent, R. W., Brown, S. D. & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45, 79–122.CrossRefGoogle Scholar
  21. Louis, R. A. & Mistele, J. M. (2012). Differences in scores and self-efficacy by student gender in mathematics and science. International Journal of Science and Mathematics Education, 10(5), 1163–1190.CrossRefGoogle Scholar
  22. Lyons, T. (2006). The puzzle of falling enrolments in physics and chemistry courses: Putting some pieces together. Research in Science Education, 36, 285–311.CrossRefGoogle Scholar
  23. Masnick, A. M., Valenti, S. S., Cox, B. D. & Osman, C. J. (2010). Multidimensional scaling analysis of students’ attitudes about science careers. International Journal of Science Education, 32(5), 653–667.CrossRefGoogle Scholar
  24. Miller, P. H., Slawinski Blessing, J. & Schwartz, S. (2006). Gender differences in high-school students’ views about science. International Journal of Science Education, 28(4), 363–381.CrossRefGoogle Scholar
  25. Nagy, G., Trautwein, U., Baumert, J., Köller, O. & Garrett, J. (2006). Gender and course selection in upper secondary education: Effects of academic self-concept and intrinsic value. Educational Research and Evaluation, 12(4), 323–345.CrossRefGoogle Scholar
  26. Osborne, J. & Collins, S. (2001). Pupils’ views of the role and value of the science curriculum: a focus-group study. Internal Journal of Science Education, 23(5), 441–467.CrossRefGoogle Scholar
  27. 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.CrossRefGoogle Scholar
  28. Peters, M. L. (2013). Examining the relationships among classroom climate, self-efficacy, and achievement in undergraduate mathematics: A multi-level analysis. International Journal of Science and Mathematics Education, 11(2), 459–480.CrossRefGoogle Scholar
  29. Prokop, P., Prokop, M. & Tunnicliffe, S. D. (2007). Is biology boring? Student attitudes toward biology. Journal of Biological Education, 42(1), 36–39.CrossRefGoogle Scholar
  30. Roesken, B., Hannula, M. S. & Pehkonen, E. (2011). Dimensions of students’ views of themselves as learners of mathematics 2011. ZDM Mathematics education, 43(4), 497–506.CrossRefGoogle Scholar
  31. Ryan, R. M. & Deci, E. D. (2000). Intrinsic and extrinsic motivations: classic definitions and new directions. Contemporary Educational Psychology, 25, 54–67.CrossRefGoogle Scholar
  32. Schreiner, C. & Sjøberg, S. (2007). Science education and youth’s identity construction—two incompatible projects? In D. Corrigan, J. Dillon & R. Gunstone (Eds.), The Re-emergence of Values in the Science Curriculum (pp. 1–17). Rotterdam: Sense Publishers.Google Scholar
  33. Schwarzer, R. & Jerusalem, M. (1995). Generalized self-efficacy scale. In J. Weinman, S. Wright & M. Johnston (Eds.), Measures in health psychology: A user’s portfolio. Causal and control beliefs (pp. 35–37). Windsor: NFER-NELSON.Google Scholar
  34. Shapka, J., Domene, J. F. & Keating, D. P. (2006). Trajectories of career aspirations through adolescence and young adulthood: Early math achievement as a critical filter. Educational Research and Evaluation, 12(4), 347–358.CrossRefGoogle Scholar
  35. Statistics Finland (2012). Naiset ja miehet Suomessa 2011. Helsinki, Finland: Tilastokeskus. In Finnish. Retrieved December, 2013, from http://www.stat.fi/tup/julkaisut/tiedostot/julkaisuluettelo/yyti_namisu_201100_2012_6057_net.pdf.
  36. Trumper, R. (2006). Factors affecting junior high school students’ interest in biology. Science Education International, 17(1), 31–48.Google Scholar
  37. Uitto, A., Juuti, K., Lavonen, J. & Meisalo, V. (2006). Students’ interest in biology and their out-of-school experiences. Journal of Biological Education, 40(3), 124–129.CrossRefGoogle Scholar
  38. Uitto, A., Hakonen, R. & Manninen, S. (2011a). Lukiolaisten kiinnostus ja minäpystyvyys biologian opinnoissa. In L. Tainio, K. Juuti, A. Kalliomäki, P. Seitamaa-Hakkarainen & A. Uitto (Eds.), Näkökulmia tutkimusperustaiseen opetukseen: Ainedidaktisia tutkimuksia 1 (pp. 167–184). Helsinki: Suomen Ainedidaktinen tutkimusseura ry. In Finnish.Google Scholar
  39. Uitto, A., Juuti, K., Lavonen, J., Byman, R. & Meisalo, V. (2011b). Secondary school students’ interests, attitudes and values concerning school science related environmental issues in Finland. Environmental Education Research, 17(2), 167–186.CrossRefGoogle Scholar
  40. Zeldin, A. L., Britner, S. L. & Pajares, F. (2008). A comparative study of the self-efficacy beliefs of successful men and women in mathematics, science, and technology careers. Journal of Research in Science Teaching, 45(9), 1036–1058.CrossRefGoogle Scholar

Copyright information

© National Science Council, Taiwan 2014

Authors and Affiliations

  1. 1.University of HelsinkiHelsinkiFinland

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