Agudo-Peregrina, Á. F., Hernández-García, Á., & Pascual-Miguel, F. J. (2014). Behavioral intention, use behavior and the acceptance of electronic learning systems: Differences between higher education and lifelong learning. Computers in Human Behavior, 34, 301–314. https://doi.org/10.1016/j.chb.2013.10.035.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. K. Beckmann (Ed.), Action control: From cognition to behavior. Springer. https://doi.org/10.1007/978-3-642-69746-3_2.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037//0033-2909.103.3.411.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/bf02723327.
Bentler, P. (1990). Comparative fit indices in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238.
Bollen, K. A. (1989). Structural equations with latent variables. Wiley. https://doi.org/10.1002/9781118619179.
Bowen, N. K., & Guo, S. (2011). Evaluating and improving CFA and general structural models. In N. K. Bowen, & S. Guo (Eds.), Structural Equation Modeling (pp. 135-166). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195367621.003.0006.
Bulleit, W. M. (2017). Pragmatism and engineering. In D. P. Michelfelder, B. Newberry, & Q. Zhu (Eds.), Philosophy of engineering and technology: Exploring boundaries, expanding connections (Vol. vol 26, pp. 13-22). Cham: Springer Link: Springer. https://doi.org/10.1007/978-3-319-45193-0
Carpenter, T. P., Fennema, E., Peterson, P. L., Chiang, C.-P., & Loef, M. (1989). Using knowledge of children’s mathematics thinking in classroom teaching: An experimental study. American Educational Research Journal, 26(4), 499–531. https://doi.org/10.3102/00028312026004499.
Chao, Y.-L. (2012). Predicting people’s environmental behaviour: theory of planned behaviour and model of responsible environmental behavior. Environmental Education Research, 18(4), 437–461. https://doi.org/10.1080/13504622.2011.634970.
Chen, F., Curran, P. J., Bollen, K. A., Kirby, J., & Paxton, P. (2008). An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models. Sociological Methods & Research, 36(4), 462–494. https://doi.org/10.1177/0049124108314720.
Cheng, S.-I., Chen, S.-C., & Yen, D. C. (2015). Continuance intention of E-portfolio system: A confirmatory and multigroup invariance analysis of technology acceptance model. Computer Standards & Interfaces, 42, 17–23. https://doi.org/10.1016/j.csi.2015.03.002.
Chien, S.-P., Wu, H.-K., & Wu, P.-H. (2018). Teachers’ beliefs about, attitudes toward, and intention to use technology-based assessments: A structural equation modeling approach. Eurasia journal of mathematics, science and technology education, 14(10), 228–244. https://doi.org/10.29333/ejmste/93379.
Christian, K. B., Kelly, A. M., & Bugallo, M. F. (2021). NGSS-based teacher professional development to implement engineering practices in STEM instruction. International Journal of STEM Education, 8(1), 21–38. https://doi.org/10.1186/s40594-021-00284-1.
Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis. Erlbaum.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/bf02310555.
Darling-Hammond, L., & Baratz-Snowden, J. (2007). A good teacher in every classroom: Preparing the highly qualified teachers our children deserve. Educational Horizons, 85(2), 111–132 www.jstor.org/stable/42926597.
Daugherty, J. L., & Custer, R. L. (2012). Secondary level engineering professional development: Content, pedagogy, and challenges. International Journal of Technology and Design Education, 22(1), 51–64. https://doi.org/10.1007/s10798-010-9136-2.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982.
Eccles, J. S., Adler, T. F., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., & Midgley, C. (1983). Expectancies, values and academic behaviors. In J. T. Spence (Ed.), Achievement and Achievement Motives. San Francisco: W. H. Freeman and Company.
Fan, S. C., & Yu, K. C. (2017. The development of new technology teacher education curriculum in Taiwan. Technology Education New Zealand (TENZ) / International Conference on Technology Education (ICTE) 2017 conference, Christchurch, New Zealand.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Co: Addison-Wesley Pub.
Fornell, C. (1982). A second generation of multivariate analysis methods. Praeger.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312.
Hammack, R., & Ivey, T. (2019). Elementary teachers’ perceptions of K-5 engineering education and perceived barriers to implementation. Journal of Engineering Education, 108(4), 503–522. https://doi.org/10.1002/jee.20289.
Harrington, D. (2008). Confirmatory factor analysis. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195339888.001.0001.
Hynes, M. M. (2012). Middle-school teachers’ understanding and teaching of the engineering design process: A look at subject matter and pedagogical content knowledge. International Journal of Technology and Design Education volume, 22(3), 345–360. https://doi.org/10.1007/s10798-010-9142-4.
Kaiser, F. G., Hübner, G., & Bogner, F. X. (2015). Contrasting the theory of planned behavior with the value-belief-norm model in explaining conservation behavior. Journal of Applied Social Psychology, 35(10), 2150–2170. https://doi.org/10.1111/j.1559-1816.2005.tb02213.x.
Kirchhoff, A., & Lawrenz, F. (2011). The use of grounded theory to investigate the role of teacher education on STEM teachers’ career paths in high-need schools. Journal of Teacher Education, 62(3), 246–259. https://doi.org/10.1177/0022487110397840.
Kline, R. B. (2011). Principles and practice of structural equation modeling, (3rd ed., ). New York: Guilford Publications.
Kohnke, O., Mueller, K., & Wolf, T. (2010). A cross-national examination of the technology acceptance model. the annual conference of the Society of Industrial & Organizational Psychology (SIOP), Atlanta.
Kriek, J., & Stols, G. (2010). Teachers’ beliefs and their intention to use interactive simulations in their classrooms. South African Journal of Education, 30(3), 439–456. https://doi.org/10.15700/saje.v30n3a284.
Lin, K.-Y., & Williams, P. J. (2016). Taiwanese Preservice Teachers’ Science, Technology, Engineering, and Mathematics Teaching Intention. International Journal of Science and Mathematics Education, 14(6), 1021–1036. https://doi.org/10.1007/s10763-015-9645-2.
Lin, K.-Y., Wu, Y.-T., Hsu, Y.-T., & Williams, P. J. (2021). Effects of infusing the engineering design process into STEM project-based learning to develop preservice technology teachers’ engineering design thinking. International Journal of STEM Education, 8(1), 1–15. https://doi.org/10.1186/s40594-020-00258-9.
Margot, K. C., & Kettler, T. (2019). Teachers’ perception of STEM integration and education: A systematic literature review. International Journal of STEM Education, 6(2), 1–16. https://doi.org/10.1186/s40594-018-0151-2.
McLaughlin, M. W. (2002). Sites and sources of teachers’ learning. In C. Sugrue, & C. Day (Eds.), Developing teachers and teaching practice: International research perspectives (pp. 95-115). Taylor & Francis, Inc.. https://doi.org/10.4324/9780203166185_chapter_6.
Merrill, C., Custer, R. L., Daugherty, J., Westrick, M., & Zeng, Y. (2008). Delivering core engineering concepts to secondary level students. Journal of technology education, 20(1), 48–64. https://doi.org/10.21061/jte.v20i1.a.4.
Monroe, M. C., Day, B. A., & Grieser, M. (2000). GreenCOM weaves four strands. In B. A. Day & M. C. Monroe (Eds.), Environmental education & communication for a sustainable world: Handbook for international practitioners. Washington, DC: Academy for Educational Development.
Nathan, M. J., Tran, N. A., Atwood, A. K., Prevost, A., & Phelps, L. A. (2010). Beliefs and expectations about engineering preparation exhibited by high school STEM teachers. Journal of Engineering Education, 99(4), 409–426. https://doi.org/10.1002/j.2168-9830.2010.tb01071.x.
National Research Council. (2009). Engineering in K-12 education: Understanding the status and improving the prospects. Washington, DC: National Academy Press.
NGSS Lead States. (2013). Next generation science standards: For states, by states. Washington, DC: National Academies Press.
Park, S., & Oliver, J. S. (2008). Revisiting the conceptualisation of pedagogical content knowledge (PCK): PCK as a conceptual tool to understand teachers as professionals. Research in Science Education, 38(3), 261–284. https://doi.org/10.1007/s11165-007-9049-6.
Pynoo, B., & van Braak, J. (2014). Predicting teachers’ generative and receptive use of an educational portal by intention, attitude and self-reported use. Computers in Human Behavior, 34, 315–322. https://doi.org/10.1016/j.chb.2013.12.024.
Richardson, V. (1994). Teacher change and the staff development process: A case in reading instruction. New York: Teachers College Press.
Rohaan, E. J., Taconis, R., & Jochems, W. M. G. (2010). Reviewing the relations between teachers’ knowledge and pupils’ attitude in the field of primary technology education. International Journal of Technology and Design Education, 20(1), 15. https://doi.org/10.1007/s10798-008-9055-7.
Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323–338. https://doi.org/10.3200/joer.99.6.323-338.
Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14. https://doi.org/10.3102/0013189X015002004.
Stein, S. J., Ginns, I. S., & McDonald, C. V. (2007). Teachers learning about technology and technology education: Insights from a professional development experience. International Journal of Technology and Design Education, 17(2), 179–195. https://doi.org/10.1007/s10798-006-0008-8.
Taiwan Ministry of Education. (2016). Professional development programs for pre-service teachers in technology domain. Taipei: National Academy for Educational Research.
Taiwan Ministry of Education. (2018). Curriculum guidelines of 12-year basic education: Technology Learning Field. Taipei: National Academy for Educational Research. https://www.naer.edu.tw/ezfiles/0/1000/img/67/152293419.pdf
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176. https://doi.org/10.1287/isre.6.2.144.
Teo, T. (2011). Factors influencing teachers’ intention to use technology: Model development and test. Computers & Education, 57(4), 144–176. https://doi.org/10.1016/j.compedu.2011.06.008.
Thibaut, L., Knipprath, H., Dehaene, W., & Depaepe, F. (2018). The influence of teachers’ attitudes and school context on instructional practices in integrated STEM education. Teaching and Teacher Education, 71, 190–205. https://doi.org/10.1016/j.tate.2017.12.014.
Van Haneghan, J. P., Pruet, S. A., Neal-Waltman, R., & Harlan, J. M. (2015). Teacher beliefs about motivating and teaching students to carry out engineering design challenges: Some initial data. Journal of Pre-College Engineering Education Research (J-PEER), 5(2), 1–9. https://doi.org/10.7771/2157-9288.1097.
Westland, J. C. (2010). Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications, 9(6), 476–487. https://doi.org/10.1016/j.elerap.2010.07.003.
Williams, P. J. (2010). Technology education to engineering: A good move? The Journal of Technology Studies, 36(2), 10–19. https://doi.org/10.21061/jots.v36i2.a.2.
Yaşar, Ş., Baker, D., Robinson-Kurpius, S., Krause, S., & Roberts, C. (2013). Development of a survey to assess K-12 teachers’ perceptions of engineering and familiarity with teaching design, engineering, and technology. Journal of Engineering Education, 95(3), 205–216. https://doi.org/10.1002/j.2168-9830.2006.tb00893.x.
Yoon, S. Y., Evans, M. G., & Strobel, J. (2014). Validation of the teaching engineering self-efficacy scale for K-12 teachers: A structural equation modeling approach. Journal of Engineering Education, 103(3), 463–485. https://doi.org/0.1002/jee.20049. https://doi.org/10.1002/jee.20049.