Research Article
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Year 2017, Volume: 18 Issue: 4, 66 - 77, 01.10.2017
https://doi.org/10.17718/tojde.340386

Abstract

References

  • Arifin, H. M. (2015). The influence of competence, motivation, and organizational culture to high school teacher job satisfaction and performance. International Education Studies, 8(1), 38-45. Belawati, T. (2001). Indonesia. In O. J. Jegede & G. Shive (Eds.), Open and distance education in the Asia pacific region (pp. 171-188). Hongkong: Open University of Hongkong Press. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. doi:10.1037/0033-2909.107.2.238 Borges, J. P. F., Junior, F. A. C., Faiad, C., & da Rocha, N. F. (2014). Individual competences of distance education tutors. Educacao e Pesquisa, 40(4), 935-951. Browne, M. W., & Cudeck, R. (1989). Single sample cross-validation indexes for covariance structures. Multivariate Behavioral Research, 24(4), 445-455. doi:10.1207/s15327906mbr2404_4 Chute, A. G., Thomson, M. M., & Hancock, B. W. (1999). The McGraw-Hill handbook of distance learning. New York: McGraw-Hill. Creswell, J. W. (2012). Educational research: Planning, conducting and evaluating quantitative and qualitative research (4th ed.). Boston, MA: Pearson. Denessen, E., Vos, N., Hasselman, F., & Louws, M. (2015). The relationship between primary school teacher and student attitudes towards science and technology. Education Research International, 1-7. doi:10.1155/2015/534690 Ferdinand, A. (2002). Structural equation modeling dalam penelitian manajemen (ed. 2) [Structural equation modeling in management studies]. Semarang: Badan Penerbit Universitas Diponegoro. Gandhe, S. K. (1999). Access and equity: The needs of the disadvantaged. In R. Carr, O. J. Jegede, W. Tat-Meng, & Y. Kin-sun (Eds.), The Asian distance learner (pp. 15-22). Hongkong: Open University of Hongkong Press. Hallissy, M., Butler, D., Hurley, J., & Marshall, K. (2010). Redesigning education: Meeting the challenges of the 21st century. Retrieved from: https://www.spd.dcu.ie/site/news/EducationSummit.shtml Hu, L. T., & Bentler P. M. (1999). Cut-off criteria for fit ındexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. doi:10.1080/10705519909540118 76 Joreskog, K. G., & Sorbom, D. (1993). Lisrel 8: Structural equation modeling with the simplis command language. Hillsdale: Erlbaum Associates Publishers. Kember, D. (1999). The learning experience of Asian students: A challenge to widely held beliefs. In R. Carr, O. J. Jegede, W. Tat-Meng, & Y. Kin-sun (Eds.), The Asian distance learner (pp. 82-99). Hongkong: Open University of Hongkong Press. Kline, R. B. (2005). Principles and practice of structural equation modeling. New York: The Guilford Press. Nigam, A., & Joshi, V. (2007). Science education through open and distance learning at higher education level. Turkish Online Journal of Distance Education, 8(4), 20-33. 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. Rovai, A. P., Ponton, M. K., & Baker, J. D. (2008). Distance learning in higher education: A pragmatic approach to planning, design, instruction, evaluation, and accreditation. New York: Teachers College Press. Rustaman, N., Wahyuningsih, T., Sekarwinahyu, M., Ratnaningsih, A., Sutarno, N., & Rokhiyah, I. (2011). Materi dan pembelajaran IPA SD [Science learning in primary schools]. Jakarta: Penerbit Universitas Terbuka. Sarsar, F., & Kisla, T. (2016). Emotional presence in online learning scale: A scale development study. Turkish Online Journal of Distance Education, 17(3), 50-61. Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74. Stevens, J. (2002). Applied multivariate statistics for the social sciences. Mahwah, NJ: Erlbaum. Suprapto, N. (2016). Students' attitudes towards STEM education: Voices from Indonesian Junior High School. Journal of Turkish Science Education, 13(Special Issue), 75-87. Suprapto, N., & Pai, Y-F. (2015). Promoting science centers by using MOOCs: Model for communicating informal science education. Man In India, 95(4), 1005-1012. Tang, T. K. W. (1999). Approaches to learning of school teachers studying distance education courses in educational psychology. In R. Carr, O. J. Jegede, W. Tat-Meng, & Y. Kin-sun (Eds.), The Asian distance learner (pp. 100-111). Hongkong: Open University of Hongkong Press. van Aalderen-Smeets, S., & van der Molen, J. W. (2013). Measuring primary teachers' attitudes toward teaching science: Development of the dimensions of attitude toward science (DAS) instrument. International Journal of Science Education, 35(4), 577-600. van Aalderen-Smeets, S. I., van der Molen, J. H. W., & Asma, L. J. F. (2012). Primary teachers’ attitude toward science: A new theoretical framework. Science Education, 96(1), 158–182. doi: 10.1002/sce.20467 van der Molen, J. H. W., van Aalderen-Smeets, S. I., & Asma, L. J. F. (2010). Teaching science at primary school level: Theoretical and practical considerations for primary school teachers’ professional training. Proceedings of the IOSTE Symposium on Science Education, Vol. 14. June 2010. Retrieved from http://files.ecetera.si/IOSTE/450.pdf Vieira, A. L. (2011). Preparation of the analysis: Interactive LISREL in practice. London: Springer. doi:10.1007/978-3-642-18044-6

Pre-Service Teachers’ Attitudes Toward Teaching Science and Their Science Learning at Indonesia Open University

Year 2017, Volume: 18 Issue: 4, 66 - 77, 01.10.2017
https://doi.org/10.17718/tojde.340386

Abstract

This study focuses on attitudes toward (teaching) science and the learning of science for primary school among pre-service teachers at the Open University of Indonesia. A three-year longitudinal survey was conducted, involving 379 students as pre-service teachers (PSTs) from the Open University in Surabaya regional office. Attitudes toward (teaching) science’ (ATS) instrument was used to portray PSTs’ preparation for becoming primary school teachers. Data analyses were used, including descriptive analysis and confirmatory factor analysis. The model fit of the attitudes toward (teaching) science can be described from seven dimensions: self-efficacy for teaching science, the relevance of teaching science, gender-stereotypical beliefs, anxiety in teaching science, the difficulty of teaching science, perceived dependency on contextual factors, and enjoyment in teaching science. The results of the research also described science learning at the Open University of Indonesia looks like. Implications for primary teacher education are discussed.

References

  • Arifin, H. M. (2015). The influence of competence, motivation, and organizational culture to high school teacher job satisfaction and performance. International Education Studies, 8(1), 38-45. Belawati, T. (2001). Indonesia. In O. J. Jegede & G. Shive (Eds.), Open and distance education in the Asia pacific region (pp. 171-188). Hongkong: Open University of Hongkong Press. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. doi:10.1037/0033-2909.107.2.238 Borges, J. P. F., Junior, F. A. C., Faiad, C., & da Rocha, N. F. (2014). Individual competences of distance education tutors. Educacao e Pesquisa, 40(4), 935-951. Browne, M. W., & Cudeck, R. (1989). Single sample cross-validation indexes for covariance structures. Multivariate Behavioral Research, 24(4), 445-455. doi:10.1207/s15327906mbr2404_4 Chute, A. G., Thomson, M. M., & Hancock, B. W. (1999). The McGraw-Hill handbook of distance learning. New York: McGraw-Hill. Creswell, J. W. (2012). Educational research: Planning, conducting and evaluating quantitative and qualitative research (4th ed.). Boston, MA: Pearson. Denessen, E., Vos, N., Hasselman, F., & Louws, M. (2015). The relationship between primary school teacher and student attitudes towards science and technology. Education Research International, 1-7. doi:10.1155/2015/534690 Ferdinand, A. (2002). Structural equation modeling dalam penelitian manajemen (ed. 2) [Structural equation modeling in management studies]. Semarang: Badan Penerbit Universitas Diponegoro. Gandhe, S. K. (1999). Access and equity: The needs of the disadvantaged. In R. Carr, O. J. Jegede, W. Tat-Meng, & Y. Kin-sun (Eds.), The Asian distance learner (pp. 15-22). Hongkong: Open University of Hongkong Press. Hallissy, M., Butler, D., Hurley, J., & Marshall, K. (2010). Redesigning education: Meeting the challenges of the 21st century. Retrieved from: https://www.spd.dcu.ie/site/news/EducationSummit.shtml Hu, L. T., & Bentler P. M. (1999). Cut-off criteria for fit ındexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. doi:10.1080/10705519909540118 76 Joreskog, K. G., & Sorbom, D. (1993). Lisrel 8: Structural equation modeling with the simplis command language. Hillsdale: Erlbaum Associates Publishers. Kember, D. (1999). The learning experience of Asian students: A challenge to widely held beliefs. In R. Carr, O. J. Jegede, W. Tat-Meng, & Y. Kin-sun (Eds.), The Asian distance learner (pp. 82-99). Hongkong: Open University of Hongkong Press. Kline, R. B. (2005). Principles and practice of structural equation modeling. New York: The Guilford Press. Nigam, A., & Joshi, V. (2007). Science education through open and distance learning at higher education level. Turkish Online Journal of Distance Education, 8(4), 20-33. 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. Rovai, A. P., Ponton, M. K., & Baker, J. D. (2008). Distance learning in higher education: A pragmatic approach to planning, design, instruction, evaluation, and accreditation. New York: Teachers College Press. Rustaman, N., Wahyuningsih, T., Sekarwinahyu, M., Ratnaningsih, A., Sutarno, N., & Rokhiyah, I. (2011). Materi dan pembelajaran IPA SD [Science learning in primary schools]. Jakarta: Penerbit Universitas Terbuka. Sarsar, F., & Kisla, T. (2016). Emotional presence in online learning scale: A scale development study. Turkish Online Journal of Distance Education, 17(3), 50-61. Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74. Stevens, J. (2002). Applied multivariate statistics for the social sciences. Mahwah, NJ: Erlbaum. Suprapto, N. (2016). Students' attitudes towards STEM education: Voices from Indonesian Junior High School. Journal of Turkish Science Education, 13(Special Issue), 75-87. Suprapto, N., & Pai, Y-F. (2015). Promoting science centers by using MOOCs: Model for communicating informal science education. Man In India, 95(4), 1005-1012. Tang, T. K. W. (1999). Approaches to learning of school teachers studying distance education courses in educational psychology. In R. Carr, O. J. Jegede, W. Tat-Meng, & Y. Kin-sun (Eds.), The Asian distance learner (pp. 100-111). Hongkong: Open University of Hongkong Press. van Aalderen-Smeets, S., & van der Molen, J. W. (2013). Measuring primary teachers' attitudes toward teaching science: Development of the dimensions of attitude toward science (DAS) instrument. International Journal of Science Education, 35(4), 577-600. van Aalderen-Smeets, S. I., van der Molen, J. H. W., & Asma, L. J. F. (2012). Primary teachers’ attitude toward science: A new theoretical framework. Science Education, 96(1), 158–182. doi: 10.1002/sce.20467 van der Molen, J. H. W., van Aalderen-Smeets, S. I., & Asma, L. J. F. (2010). Teaching science at primary school level: Theoretical and practical considerations for primary school teachers’ professional training. Proceedings of the IOSTE Symposium on Science Education, Vol. 14. June 2010. Retrieved from http://files.ecetera.si/IOSTE/450.pdf Vieira, A. L. (2011). Preparation of the analysis: Interactive LISREL in practice. London: Springer. doi:10.1007/978-3-642-18044-6
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Details

Journal Section Volume: 18 Number: 4
Authors

Nadi Suprapto This is me

Ali Mursıd This is me

Publication Date October 1, 2017
Submission Date September 28, 2017
Published in Issue Year 2017 Volume: 18 Issue: 4

Cite

APA Suprapto, N., & Mursıd, A. (2017). Pre-Service Teachers’ Attitudes Toward Teaching Science and Their Science Learning at Indonesia Open University. Turkish Online Journal of Distance Education, 18(4), 66-77. https://doi.org/10.17718/tojde.340386