Skip to main content

Advertisement

Log in

Taiwanese students’ science learning self-efficacy and teacher and student science hardiness: a multilevel model approach

  • Published:
European Journal of Psychology of Education Aims and scope Submit manuscript

Abstract

This study aimed to investigate the factors accounting for science learning self-efficacy (the specific beliefs that people have in their ability to complete tasks in science learning) from both the teacher and the student levels. We thus propose a multilevel model to delineate its relationships with teacher and student science hardiness (i.e., the courage that is needed to turn stressful changes from burdens into advantageous growth in science education settings). The current research was conducted through collecting survey responses from both teachers (i.e., using the self-report teacher science hardiness questionnaire) and students (i.e., using the self-report student science hardiness and the self-report science learning self-efficacy questionnaires). A total of 45 Taiwanese science teachers were solicited from junior high schools. Also, we recruited students who were taught by these 45 teachers. In total, 1145 junior high school students whose ages ranged from 12 to 16, with a mean of 13.68 (SD = 0.90), were invited to take part in the study. Of these students, 268 were in the seventh grade, 430 were in the eighth grade, and 447 were in the ninth grade. The results of hierarchical linear modeling (HLM) confirmed our hypothesis that teacher science hardiness fostered student science hardiness, which in turn contributed to the students’ science learning self-efficacy. The findings revealed that both teacher and student science hardiness play important roles in explaining the structure of science learning self-efficacy. To enhance science learning self-efficacy, educators should develop programs for teachers and students to increase their science hardiness.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Ball, D. L., & Cohen, D. K. (1996). Reform by the book: what is—or might be—the role of curriculum materials in teacher learning and instructional reform. Educational Researcher, 25(9), 6–8. 14.

    Google Scholar 

  • Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.

    Article  Google Scholar 

  • Bandura, A. (1981). Self-referent thought: a developmental analysis of self-efficacy. In J. H. Flavell & L. Ross (Eds.), Social cognitive development frontiers and possible futures (pp. 200–239). Cambridge: Cambridge University Press.

    Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182.

    Article  Google Scholar 

  • Benishek, L. A., Feldman, J. M., Shipon, R. W., Mecham, S. D., & Lopez, F. G. (2005). Development and evaluation of the revised academic hardiness scale. Journal of Career Assessment, 13(1), 59–76. doi:10.1177/1069072704270274.

    Article  Google Scholar 

  • Benishek, L. A., & Lopez, F. G. (2001). Development and initial validation of a measure of academic hardiness. Journal of Career Assessment, 9(4), 333–352. doi:10.1177/106907270100900402.

    Article  Google Scholar 

  • Capa, A. Y., & Uzuntiryaki, E. (2009). Development and psychometric evaluation of the high school chemistry self-efficacy scale. Educational and Psychological Measurement, 69, 868–880.

    Article  Google Scholar 

  • Chiou, G. L., & Liang, J. C. (2012). Exploring the structure of science self-efficacy: a model built on high school students’ conceptions of learning and approaches to learning in science. Asia-Pacific Education Researcher, 21(1), 83–91.

    Google Scholar 

  • Creed, P. A., Conlon, E. G., & Dhaliwal, K. (2013). Revisiting the academic hardiness scale: revision and revalidation. Journal of Career Assessment, 21(4), 537–554. doi:10.1177/1069072712475285.

    Article  Google Scholar 

  • Diseth, A., Meland, E., & Breidablik, H. J. (2014). Self-beliefs among students: grade level and gender differences in self-esteem, self-efficacy and implicit theories of intelligence. Learning and Individual Differences, 35, 1–8. doi:10.1016/j.lindif.2014.06.003.

    Article  Google Scholar 

  • Forbes, C. T., & Davis, E. A. (2010). Beginning elementary teachers’ curriculum design and development of pedagogical design capacity for science teaching: a longitudinal study. In L. E. Kattington (Ed.), Handbook of curriculum development (pp. 209–232). New York: Nova Science.

    Google Scholar 

  • Güngören, S., & Sungur, S. (2009). The effect of grade level on elementary school students’ motivational beliefs in science. International Journal of Learning, 16(3), 495–506.

    Google Scholar 

  • Güvercin, Ö. (2008). Investigating elementary students’ motivation towards science learning: a cross age study. Ankara: Master Middle East Technical University.

    Google Scholar 

  • Gibbs, G., & Coffey, M. (2004). The impact of training of university teachers on their teaching skills, their approach to teaching and the approach to learning of their students. Active Learning in Higher Education, 5(1), 87–100. doi:10.1177/1469787404040463.

    Article  Google Scholar 

  • Gill, M. J., & Harris, S. L. (1991). Hardiness and social support as predictors of psychological discomfort in mothers of children with autism. Journal of Autism and Developmental Disorders, 21(4), 407–416.

    Article  Google Scholar 

  • Glynn, S. M., Brickman, P., Armstrong, N., & Taasoobshirazi, G. (2011). Science motivation questionnaire II: validation with science majors and nonscience majors. Journal of Research in Science Teaching, 48(10), 1159–1176. doi:10.1002/Tea.20442.

    Article  Google Scholar 

  • Gocer, F. Y., Sungur, S., & Tekkaya, C. (2011). Investigating elementary school students’ motivational traits in science classrooms. Egitim Ve Bilim-Education and Science, 36(161), 76–84.

    Google Scholar 

  • Goodwin, K. S., Ostrom, L., & Scott, K. W. (2009). Gender differences in mathematics self-efficacy and back substitution in multiple-choice assessment. Journal of Adult Education, 38, 22–42.

    Google Scholar 

  • Hong, Z. R., & Lin, H. S. (2011). An investigation of students’ personality traits and attitudes toward science. International Journal of Science Education, 33(7), 1001–1028. doi:10.1080/09500693.2010.524949.

    Article  Google Scholar 

  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis. New Jersey: Prentice-Hall.

    Google Scholar 

  • Hong, Z. R., Lin, H. S., & Lawrenz, F. P. (2012). Effects of an integrated science and societal implication intervention on promoting adolescents’ positive thinking and emotional perceptions in learning science. International Journal of Science Education, 34(3), 329–352. doi:10.1080/09500693.2011.623727.

    Article  Google Scholar 

  • Huang, C. J. (2013). Gender differences in academic self-efficacy: a meta-analysis. European Journal of Psychology of Education, 28(1), 1–35. doi:10.1007/s10212-011-0097-y.

    Article  Google Scholar 

  • Junge, M. E., & Dretzke, B. J. (1995). Mathematical self-efficacy gender differences in gifted talented adolescents. Gifted Child Quarterly, 39(1), 22–26. doi:10.1177/001698629503900104.

    Article  Google Scholar 

  • Kamtsios, S., & Karagiannopoulou, E. (2013). Conceptualizing students’ academic hardiness dimensions: a qualitative study. European Journal of Psychology of Education, 28(3), 807–823. doi:10.1007/s10212-012-0141-6.

    Article  Google Scholar 

  • Kaya, S., & Rice, D. C. (2010). Multilevel effects of student and classroom factors on elementary science achievement in five countries. International Journal of Science Education, 32(10), 1337–1363. doi:10.1080/09500690903049785.

    Article  Google Scholar 

  • Kenny, D. A., Kashy, D., & Bolger, N. (1998). Data analysis in social psychology. In D. Gilbert, S. Fiske, & G. Lindzey (Eds.), Handbook of social psychology (4th ed., pp. 233–265). New York: McGraw-Hill.

    Google Scholar 

  • Khoshaba, D. M., & Maddi, S. R. (2001). HardiTraining. Irvine: Hardiness Institute.

    Google Scholar 

  • Kiran, D., & Sungur, S. (2012a). Middle school students’ science self-efficacy and its sources: examination of gender difference. Journal of Science Education and Technology, 21(5), 619–630. doi:10.1007/s10956-011-9351-y.

    Article  Google Scholar 

  • Kiran, D., & Sungur, S. (2012b). Sources and consequences of Turkish middle school students’ science self-efficacy. Asia-Pacific Education Researcher, 21(1), 172–180.

    Google Scholar 

  • Lepper, M. R., Corpus, J. H., & Iyengar, S. S. (2005). Intrinsic and extrinsic motivational orientations in the classroom: age differences and academic correlates. Journal of Educational Psychology, 97(2), 184–196. doi:10.1037/0022-0663.97.2.184.

    Article  Google Scholar 

  • Lin, T.-J., Tan, A. L., & Tsai, C.-C. (2013). A cross-cultural comparison of Singaporean and Taiwanese eighth graders’ science learning self-efficacy from a multi-dimensional perspective. International Journal of Science Education, 35(7), 1083–1109. doi:10.1080/09500693.2013.776193.

    Article  Google Scholar 

  • Lin, T.-J., & Tsai, C.-C. (2013). A multi-dimensional instrument for evaluating Taiwanese high school students’ science learning self-efficacy in relation to their approaches to learning science. International Journal of Science and Mathematics Education, 11(6), 1275–1301. doi:10.1007/s10763-012-9376-6.

    Article  Google Scholar 

  • Maddi, S. R. (1987). Hardiness training at Illinois Bell Telephone. In: J. P. Opatz (Ed.), Health promotion evaluation (pp. 101–115). Stephens Point, WI: National Wellness Institute.

  • Maddi, S. R. (2013). Personal hardiness as the basis for resilience. In: S. R. Maddi (Ed.), Hardiness: turning stressful circumstances into resilient growth (pp. 7–17). New York: Springer.

  • Maddi, S. R., Harvey, R. H., Khoshaba, D. M., Fazel, M., & Resurreccion, N. (2009). Hardiness training facilitates performance in college. Journal of Positive Psychology, 4(6), 566–577. doi:10.1080/17439760903157133.

    Article  Google Scholar 

  • Maddi, S. R., Harvey, R. H., Khoshaba, D. M., Fazel, M., & Resurreccion, N. (2012). The relationship of hardiness and some other relevant variables to college performance. Journal of Humanistic Psychology, 52(2), 190–205. doi:10.1177/0022167811422497.

    Article  Google Scholar 

  • McNeill, K. L., Pimentel, D. S., & Strauss, E. G. (2013). The impact of high school science teachers’ beliefs, curricular enactments and experience on student learning during an inquiry-based urban ecology curriculum. International Journal of Science Education, 35(15), 2608–2644. doi:10.1080/09500693.2011.618193.

    Article  Google Scholar 

  • Palmer, D. (2006). Durability of changes in self-efficacy of preservice primary teachers. International Journal of Science Education, 28(6), 655–671. doi:10.1080/09500690500404599.

    Article  Google Scholar 

  • Puntambekar, S., Stylianou, A., & Goldstein, J. (2007). Comparing classroom enactments of an inquiry curriculum: lessons learned from two teachers. Journal of the Learning Sciences, 16(1), 81–130. doi:10.1207/s15327809jls1601_4.

    Article  Google Scholar 

  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: applications and data analysis methods (2nd ed.). Thousand Oaks: Sage.

    Google Scholar 

  • Sheard, M. (2009). Hardiness commitment, gender, and age differentiate university academic performance. British Journal of Educational Psychology, 79, 189–204. doi:10.1348/000709908x304406.

    Article  Google Scholar 

  • Sheard, M., & Golby, J. (2007). Hardiness and undergraduate academic study: the moderating role of commitment. Personality and Individual Differences, 43(3), 579–588. doi:10.1016/j.paid.2007.01.006.

    Article  Google Scholar 

  • Thomas, G., Anderson, D., & Nashon, S. (2008). Development of an instrument designed to investigate elements of science students’ metacognition, self-efficacy and learning processes: the SEMLI-S. International Journal of Science Education, 30(13), 1701–1724. doi:10.1080/09500690701482493.

    Article  Google Scholar 

  • Tran, N. A. (2011). The relationship between students’ connections to out-of-school experiences and factors associated with science learning. International Journal of Science Education, 33(12), 1625–1651. doi:10.1080/09500693.2010.516030.

    Article  Google Scholar 

  • Troop-Gordon, W. (2015). The role of the classroom teacher in the lives of children victimized by peers. Child Development Perspectives, 9(1), 55–60. doi:10.1111/Cdep.12106.

    Article  Google Scholar 

  • Tsai, C.-C., Jessie Ho, H. N., Liang, J.-C., & Lin, H.-M. (2011). Scientific epistemic beliefs, conceptions of learning science and self-efficacy of learning science among high school students. Learning and Instruction, 21(6), 757–769. doi:10.1016/j.learninstruc.2011.05.002.

    Google Scholar 

  • Tuan, H. L., Chin, C. C., & Shieh, S. H. (2005). The development of a questionnaire to measure students’ motivation towards science learning. International Journal of Science Education, 27(6), 639–654. doi:10.1080/0950096042000323737.

    Article  Google Scholar 

  • Usher, E. L., & Pajares, S. (2008). Sources of self-efficacy in school: critical review of the literature and future directions. Review of Educational Research, 78, 751–796.

    Article  Google Scholar 

  • Uzuntiryaki, E., & Capa, A. Y. (2009). Development and validation of chemistry self-efficacy scale for college student. Research in Science Education, 39, 539–551.

    Article  Google Scholar 

  • Webb-Williams, J. (2014). Gender differences in school children’s self-efficacy beliefs: students’ and teachers’ perspectives. Educational Research and Reviews, 9(3), 75–82. doi:10.5897/ERR2013.1653.

    Article  Google Scholar 

  • Weisgram, E. S., & Bigler, R. S. (2006). Girls and science careers: the role of altruistic values and attitudes about scientific tasks. Journal of Applied Developmental Psychology, 27(4), 326–348. doi:10.1016/j.appdev.2006.04.004.

    Article  Google Scholar 

  • Woltman, H., Feldstain, A., MacKay, J. C., & Rocchi, M. (2012). An introduction to hierarchical linear modeling. Tutorials in Quantitative Methods for Psychology, 8(1), 52–69.

    Article  Google Scholar 

  • Yoon, J., & Bauman, S. (2014). Teachers: a critical but overlooked component of bullying prevention and intervention. Theory Into Practice, 53(4), 308–314. doi:10.1080/00405841.2014.947226.

    Article  Google Scholar 

  • Zhang, Z., Zyphur, M. J., & Preacher, K. J. (2009). Testing multilevel mediation using hierarchical linear models problems and solutions. Organizational Research Methods, 12(4), 695–719. doi:10.1177/1094428108327450.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Ya-Ling Wang or Chin-Chung Tsai.

Additional information

Ya-Ling Wang (corresponding author). Postdoctoral Research Fellow, Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taiwan. E-mail: Patricia7247@gmail.com, ylwang47@mail.ntust.edu.tw. Tel: 886-2-27303219. Address: No. 43, Sec. 4, Keelung Rd., Taipei, 106, Taiwan

Current themes of research:

Educational psychology. Science education. Positive psychology.

Most relevant publications in the field of Psychology of Education:

Wang, Y.-L., Tsai, C.-C., & Wei, S.-H. (2015). The sources of science teaching self-efficacy among elementary school teachers: A mediational model approach. International Journal of Science Education, 37(14), 2264–2283. (SSCI)

Wang, Y. L., Lin, Y. C., Huang, C. L., & Yeh, K. H. (2012). Benefitting from a different perspective: The effect of a complementary matching of psychological distance and habitual perspective on emotion regulation. Asian Journal of Social Psychology, 15(3), 198–207. (SSCI)

Wang, Y. L., Tsai, S. L., Lin, Y. C., & Huang, C. L. (2013). Deficits in emotion inhibition or in strategy judgment? Investigating mechanisms of the inappropriateness of attachment anxiety. Formosa Journal of Mental Health, 26(2), 279–306. (TSSCI; in Chinese)

Sung, Y. T., Chao, T. Y., Wang, Y. L., Huang, L. Y., Chen, J. R., & Tseng, F. L. (2013). The development of the Examination Stress Scale for junior high school students. Psychological Testing, 60(2), 291–318. (TSSCI; in Chinese)

Chao, T. Y., Sung, Y. T., & Wang, Y. L. (2014). The development and application of coping with examination stress scale for high school students. Psychological Testing, 61(2), 283–310. (TSSCI; in Chinese)

Chin-Chung Tsai (corresponding author). Chair Professor, Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taiwan. E-mail: cctsai@mail.ntust.edu.tw. Address: No. 43, Sec. 4, Keelung Rd., Taipei, 106, Taiwan

Current themes of research:

Conceptions of learning. Epistemic beliefs. Science education

Most relevant publications in the field of Psychology of Education:

Tsai, C.-C. (2009). Conceptions of learning versus conceptions of web-based learning: The differences revealed by college students. Computers & Education, 53, 1092–1103.

Yang, Y.-F., & Tsai, C.-C. (2010). Conceptions of and approaches to learning through online peer assessment. Learning and Instruction, 20, 72–83.

Tsai, C.-C., Ho, H. N., Liang, J.-C., & Lin, H.-M. (2011). Scientific epistemic beliefs, conceptions of learning science and self-efficacy of learning science among high school students. Learning and Instruction, 21, 757–769.

Lin, C.-L., Tsai, C.-C., & Liang, J. C. (2012). An investigation of two profiles within conceptions of learning science: An examination of confirmatory factor analysis. European Journal of Psychology of Education, 27(4), 499–521.

Lee, M.-H., Lin, T.-J., & Tsai, C.-C. (2013). Proving or improving science learning? Understanding high school students’ conceptions of science assessment in Taiwan. Science Education, 97(2), 244–270.

Appendix

Appendix

Appendix 1: items of the student science hardiness questionnaire

  1. 1.

    I take my work as a student seriously.

  2. 2.

    I am a dedicated student

  3. 3.

    I work hard for grades.

  4. 4.

    I am involved in all my classes.

  5. 5.

    Regardless of the class, I do my best.

  6. 6.

    I make personal sacrifices to get good grades.

  7. 7.

    Grades aren’t important to me.

Appendix 2: items of the SLSE questionnaire

  1. 1.

    I can explain scientific laws and theories to others.

  2. 2.

    I can choose an appropriate formula to solve a science problem.

  3. 3.

    I can link the contents among different science subjects (for example biology, chemistry and physics) and establish the relationships between them.

  4. 4.

    I know the definitions of basic scientific concepts (for example, gravity, photosynthesis, etc.) very well.

  5. 5.

    I am able to read scientific figures and tables.

  6. 6.

    I am able to critically evaluate the solutions of scientific problems.

  7. 7.

    I am able to design scientific experiments to verify my hypotheses.

  8. 8.

    I am able to propose many viable solutions to solve a science problem.

  9. 9.

    When I come across a science problem, I will actively think over it first and devise a strategy to solve it.

  10. 10.

    I am able to make systematic observations and inquiries based on a specific science concept or scientific phenomenon.

  11. 11.

    When I am exploring a scientific phenomenon, I am able to observe its changing process and think of possible reasons behind it.

  12. 12.

    I know how to carry out experimental procedures in the science laboratory.

  13. 13.

    I know how to use equipment (for example measuring cylinders, measuring scales, etc.) in the science laboratory.

  14. 14.

    I am able to read data from scientific experiments.

  15. 15.

    I know how to set up equipment for laboratory experiments.

  16. 16.

    I know how to collect data during the science laboratory.

  17. 17.

    I am able to explain everyday life using scientific theories.

  18. 18.

    I am able to propose solutions to everyday problems using science.

  19. 19.

    I can understand the news/documentaries I watch on television related to science.

  20. 20.

    I can recognize the careers related to science.

  21. 21.

    I am able to apply what I have learned in school science to daily life.

  22. 22.

    I am able to use scientific methods to solve problems in everyday life.

  23. 23.

    I can understand and interpret social issues related to science (for example nuclear power usage and genetically modified foods) in a scientific manner.

  24. 24.

    I am aware that a variety of phenomena in daily life involve science-related concepts.

  25. 25.

    I am able to comment on presentations made by my classmates in science class.

  26. 26.

    I am able to use what I have learned in science classes to discuss with others.

  27. 27.

    I am able to clearly explain what I have learned to others.

  28. 28.

    I feel comfortable discussing science content with my classmates.

  29. 29.

    In science classes, I can clearly express my own opinions.

  30. 30.

    In science classes, I can express my ideas properly.

Appendix 3: items of the teacher science hardiness questionnaire

  1. 1.

    I take my work as a teacher seriously.

  2. 2.

    I am a dedicated teacher.

  3. 3.

    I work hard on my teaching.

  4. 4.

    I am involved in all of the classes I teach.

  5. 5.

    Regardless of the class, I do my best.

  6. 6.

    I make personal sacrifices to teach well.

  7. 7.

    Teaching well is as important to me as it is to my parents.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, YL., Tsai, CC. Taiwanese students’ science learning self-efficacy and teacher and student science hardiness: a multilevel model approach. Eur J Psychol Educ 31, 537–555 (2016). https://doi.org/10.1007/s10212-015-0285-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10212-015-0285-2

Keywords

Navigation