Investigating Pre-Service Science Teachers’ Attitudes towards Socioscientific Issues in terms of Gender and Class Level
Abstract
The purpose of this study was to examine pre-service science teachers’ attitudes towards socioscientific issues in terms of gender and class level. The present study was designed as a cross-sectional survey and a-total of 169 pre-service science teachers voluntarily participated in the study. The data were collected via Attitudes towards Sociosicentific Issues Scale and personal information sheet. Findings revealed that there
was no statistical significant effect of gender and class level on pre-service science teachers’ attitudes towards socioscientific issues.
Keywords: Pre-service science teachers, sociosicentific issues, attitudes
References
- Albe, V. (2008). Students’ positions and considerations of scientific evidence about a controversial socioscientific issue. Science & Education, 17(8-9), 805-827. Bal, Ş., Samancı, N. K. & Bozkurt, O. (2007). University students’ knowledge and attitude about genetic engineering. Eurasia Journal of Mathematics, Science & Technology Education, 3(2), 119-126. Boerwinkel, D.J., Knippels, M.J., & Waarlo, A.J. (2011). Raising awareness of presymptomatic genetic testing. Journal of Biological Education, 45(4), 213-221 Brown, T. A. (2006). Confirmatory Factor Analysis for Applied Research. (1st edition). California: Sage Publications Inc. Clarkeburn, H., Downie, J.R., & Matthew, B. (2002). Impact of an ethics programme in a life sciences curriculum, Teaching in Higher Education, 7(1), 65-79. Cohen, J. (1977). Statistical power analysis for the behavioral sciences. New York: Academic Press Dawson, V.M. (2011). A case study of the impact of introducing socio-scientific issues into a reproduction unit in a Catholic Girls’ school. T. D. Sadler (Ed.). Socio-scientific Issues in the Classroom (313-345). New York: Springer Dordect. Fraenkel, J.R., & Wallen, N.E. (2006). How to Design and Evaluate Research in education. (6th edition). Boston: McGraw-Hill Hooper, D., Coughlan, J., & Mullen, M.R. (2008). Structural equation modeling: guidelines for determining model fit. Electronic Journal of Business Research Methods 6(1), 53-60. Hu, L., & Bentler, P.M. (1999). Cut off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling, 6(1), 1-55. Ishiyama, I., Tanzawa, T., Watanabe, M., Maeda T, Muto, K., Tamakoshi, A., & et al. (2011). Public attitudes to the promotion of genomic crop studies in Japan: Correlations between genomic literacy, trust, and favorable attitude. Public Understanding of Science, 21(4), 495-512 Jöreskog, K., & Sörbom, D. (1993). Lisrel 8: Structural equation modeling with SIMPLIS command language. Lincolnwood: Scientific Software International Inc, Karasar, N. (2010). Bilimsel araştırma yöntemi. (19. Baskı), Ankara: Nobel Yayınevi.
FEN BİLGİSİ ÖĞRETMEN ADAYLARININ SOSYOBİLİMSEL KONULARA YÖNELİK TUTUMLARININ ÇEŞİTLİ DEĞİŞKENLER AÇISINDAN İNCELENMESİ
Abstract
Bu araştırmanın amacı, fen bilgisi öğretmen adaylarının sosyobilimsel konulara yönelik tutumlarının, cinsiyet ve sınıf düzeyi değişkenleri açısından incelenmesidir. İlişkisel tarama modellerinden kesit alma yaklaşımının kullanıldığı bu çalışmanın araştırma grubunu, 169 fen bilgisi öğretmen adayı oluşturmaktadır. Ölçme aracı olarak, Sosyobilimsel Konulara Yönelik Tutum Ölçeği ve bilgi formu kullanılmıştır. Yapılan analizler sonucunda, cinsiyet ve sınıf düzeyi değişkenlerinin fen bilgisi öğretmen adaylarının sosyobilimsel konulara yönelik tutumlarını etkilemediği sonucuna ulaşılmıştır.
References
- Albe, V. (2008). Students’ positions and considerations of scientific evidence about a controversial socioscientific issue. Science & Education, 17(8-9), 805-827. Bal, Ş., Samancı, N. K. & Bozkurt, O. (2007). University students’ knowledge and attitude about genetic engineering. Eurasia Journal of Mathematics, Science & Technology Education, 3(2), 119-126. Boerwinkel, D.J., Knippels, M.J., & Waarlo, A.J. (2011). Raising awareness of presymptomatic genetic testing. Journal of Biological Education, 45(4), 213-221 Brown, T. A. (2006). Confirmatory Factor Analysis for Applied Research. (1st edition). California: Sage Publications Inc. Clarkeburn, H., Downie, J.R., & Matthew, B. (2002). Impact of an ethics programme in a life sciences curriculum, Teaching in Higher Education, 7(1), 65-79. Cohen, J. (1977). Statistical power analysis for the behavioral sciences. New York: Academic Press Dawson, V.M. (2011). A case study of the impact of introducing socio-scientific issues into a reproduction unit in a Catholic Girls’ school. T. D. Sadler (Ed.). Socio-scientific Issues in the Classroom (313-345). New York: Springer Dordect. Fraenkel, J.R., & Wallen, N.E. (2006). How to Design and Evaluate Research in education. (6th edition). Boston: McGraw-Hill Hooper, D., Coughlan, J., & Mullen, M.R. (2008). Structural equation modeling: guidelines for determining model fit. Electronic Journal of Business Research Methods 6(1), 53-60. Hu, L., & Bentler, P.M. (1999). Cut off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives, Structural Equation Modeling, 6(1), 1-55. Ishiyama, I., Tanzawa, T., Watanabe, M., Maeda T, Muto, K., Tamakoshi, A., & et al. (2011). Public attitudes to the promotion of genomic crop studies in Japan: Correlations between genomic literacy, trust, and favorable attitude. Public Understanding of Science, 21(4), 495-512 Jöreskog, K., & Sörbom, D. (1993). Lisrel 8: Structural equation modeling with SIMPLIS command language. Lincolnwood: Scientific Software International Inc, Karasar, N. (2010). Bilimsel araştırma yöntemi. (19. Baskı), Ankara: Nobel Yayınevi.
Details
| Primary Language | tr; |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | December 25, 2013 |
| Published in Issue | Year 2013 Volume: 37 Issue: 37 |