Abstract
Initial teacher education (ITE) programs provide pre-service teachers with much of the theoretical and to some extent practical, underpinnings of their developing professional practice. The ITE programs ensure that pre-service teachers gain sufficient knowledge and understanding around student development, how students learn, the importance of knowing the subject content and how to plan, teach, and assess that content. Given pre-service teachers are entering classrooms in the twenty-first century, they require skills that will position their students to participate in an increasingly technologically advanced and interconnected world. However, what appears to be missing from ITE programs is the growing attention given to computational, design and systems thinking, that future pre-service teachers will need, not only to solve the complex problems that they will continue to face in their classroom, but also the same skills that they will need to model and then develop in their future students.
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References
ACARA. (n.d.-a). Economics and business (Version 8.1). Retrieved from https://www.australiancurriculum.edu.au/f-10-curriculum/humanities-and-social-sciences/economics-and-business/
ACARA. (n.d.-b). Science (Version 8.4). Retrieved from https://www.australiancurriculum.edu.au/f-10-curriculum/science/
ACARA. (n.d.-c). Structure. Retrieved from https://www.australiancurriculum.edu.au/f-10-curriculum/technologies/structure/
Arnold, R. D., & Wade, J. P. (2015). A definition of systems thinking: A systems approach. Procedia Computer Science, 44, 669–678. https://doi.org/10.1016/j.procs.2015.03.050
Baek, Y., Min, E., & Yun, S. (2020). Mining educational implications of minecraft. Computers in the Schools, 37(1), 1–16. https://doi.org/10.1080/07380569.2020.1719802
Bement Jr, A., Dutta, D., & Patil, L. (2015). Educate to innovate: Factors that influence innovation: based on input from innovators and stakeholders. National Academies Press. https://doi.org/10.17226/21698
Brown, A. L., Lee, J., & Collins, D. (2015). Does student teaching matter? Investigating pre-service teachers’ sense of efficacy and preparedness. Teaching Education, 26(1), 77–93. https://doi.org/10.1080/10476210.2014.957666
Brüning, N., & Mangeol, P. (2020). What skills do employers seek in graduates?: Using online job posting data to support policy and practice in higher education. OECD Education Working Papers. https://www.oecd-ilibrary.org/content/paper/bf533d35-en
Butler, D., & Leahy, M. (2021). Developing preservice teachers’ understanding of computational thinking: A constructionist approach. British Journal of Educational Technology, 52(3), 1060–1077. https://doi.org/10.1111/bjet.13090
Case, R. E. (2002). The intersection of language, education, and content: Science instruction for ESL students. The Clearing House, 76(2), 71–74. https://doi.org/10.1080/00098650209604952
Ch’ng, S. I., Low, Y. C., Lee, Y. L. , Chia, W. C., & Yeong, L. S. (2019). Video games: A potential vehicle for teaching computational thinking. In S.-C. Kong & H. Abelson (Eds.), Computational thinking education (pp. 247–260). Springer International Publishing. https://doi.org/10.1007/978-981-13-6528-7_14
Ching, Y.-H., Hsu, Y.-C., & Baldwin, S. (2018). Developing computational thinking with educational technologies for young learners. TechTrends, 62(6), 563–573. https://doi.org/10.1007/s11528-018-0292-7
Croff, C. H. (2017). Teaching computational thinking patterns in rural communities. In P. J. Rich & C. B. Hodges (Eds.), Emerging research, practice, and policy on computational thinking (pp. 175–188). Springer International Publishing. https://doi.org/10.1007/978-3-319-52691-1_11
Dawbin, B., Sherwen, M., Dean, S., Donnelly, S., & Cant, R. (2021). Building empathy through a design thinking project: A case study with middle secondary schoolboys. Issues in Educational Research, 31(2), 440–457. https://doi.org/10.3316/aeipt.228964
Durak, H. Y. (2018). Digital story design activities used for teaching programming effect on learning of programming concepts, programming self-efficacy, and participation and analysis of student experiences. Journal of Computer Assisted Learning, 34(6), 740–752. https://doi.org/10.1111/jcal.12281
Dym, C. L., Agogino, A. M., Eris, O., Frey, D. D., & Leifer, L. J. (2005). Engineering design thinking, teaching, and learning. Journal of Engineering Education, 94(1), 103–120. https://doi.org/10.1002/j.2168-9830.2005.tb00832.x
Fanta, D., Braeutigam, J., & Riess, W. (2020). Fostering systems thinking in student teachers of biology and geography—An intervention study. Journal of Biological Education, 54(3), 226–244. https://doi.org/10.1080/00219266.2019.1569083
Fernando, P., & Cooper, R. (2017). Teaching strategies: Supporting EAL students in learning biology terminology. Teaching Science, 63(1), 34–40. https://doi.org/10.3316/aeipt.215172
Fonseca, K. (2021). Self-reported mathematical problem-solving skills of future mathematics teachers. South African Journal of Childhood Education, 11(1), 1–8. https://doi.org/10.4102/sajce.v11i1.1011
Freedberg, S., Bondie, R., Zusho, A., & Allison, C. (2019). Challenging students with high abilities in inclusive math and science classrooms. High Ability Studies, 30(1–2), 237–254. https://doi.org/10.1080/13598139.2019.1568185
Funke, J., Fischer, A., & Holt, D. V. (2018). Competencies for complexity: Problem solving in the twenty-first century. In E. Care, P. Griffin, & M. Wilson (Eds.), Assessment and teaching of 21st century skills: Research and application (pp. 41–53). Springer International Publishing. https://doi.org/10.1007/978-3-319-65368-6_3
Gachago, D., Morkel, J., Hitge, L., van Zyl, I., & Ivala, E. (2017). Developing eLearning champions: A design thinking approach. International Journal of Educational Technology in Higher Education, 14(1), 1–14. https://doi.org/10.1186/s41239-017-0068-8
Gonski, D., Arcus, T., Boston, K., Gould, V., Johnson, W., O’Brien, L., Perry, L.-A., & Roberts, M. (2018). Through growth to achievement: Report of the review to achieve educational excellence in Australian schools.
Han, Z. (2021). Usage-based instruction, systems thinking, and the role of language mining in second language development. Language Teaching, 54(4), 502–517. https://doi.org/10.1017/S0261444820000282
Hennessey, E., & Mueller, J. (2020). Teaching and learning design thinking: How do educators see design thinking fitting into the classroom? Canadian Journal of Education, 43(2), 498–521.
Hollett, E., & Cassalia, A. (2022). Divergent thinking for advanced learners, grades 3–5. Taylor & Francis Group.
Hung, W. (2008). Enhancing systems-thinking skills with modelling. British Journal of Educational Technology, 39(6), 1099–1120. https://doi.org/10.1111/j.1467-8535.2007.00791.x
Jacob, S., Nguyen, H., Tofel-Grehl, C., Richardson, D., & Warschauer, M. (2018). Teaching computational thinking to English learners. NYS TESOL Journal, 5(2), 12–24.
Kale, U., & Yuan, J. (2021). Still a new kid on the block? Computational thinking as problem solving in code.org. Journal of Educational Computing Research, 59(4), 620–644. https://doi.org/10.1177/0735633120972050
Kaye, M., & Hager, P. (1991). A study of the critical thinking skills of vocational teachers. Australian Journal of TAFE Research and Development, 6(2), 19–29.
Kozikoğlu, İ. (2019). Investigating critical thinking in prospective teachers: Metacognitive skills, problem solving skills and academic self-efficacy. Journal of Social Studies Education Research, 10(2), 111–130.
Latz, A. O., Speirs Neumeister, K. L., Adams, C. M., & Pierce, R. L. (2008). Peer coaching to improve classroom differentiation: Perspectives from project CLUE. Roeper Review, 31(1), 27–39. https://doi.org/10.1080/02783190802527356
Lodi, M., & Martini, S. (2021). Computational thinking, between Papert and Wing. Science & Education, 30(4), 883–908. https://doi.org/10.1007/s11191-021-00202-5
Lyu, Y., Wang, X., Zhang, B., Wang, Y., Jiang, M., Zhang, Q., Zhang, Y., & Liu, W. (2021). Teaching practice in the “empathy design thinking” course for elementary school students grounded in project-based learning. In M. M. Soares, E. Rosenzweig, & A. Marcus (Eds.), Design, user experience, and usability: UX research and design (pp. 544–555). Springer International Publishing. https://doi.org/10.1007/978-3-030-78221-4_37
Marcon, N., & Faulkner, J. (2016). Exploring minecraft as a pedagogy to motivate girls’ literacy practices in the secondary English classroom. English in Australia, 51(1), 63–69.
McDonagh, D., & Thomas, J. (2010). Rethinking design thinking: Empathy supporting innovation. Australasian Medical Journal, 458–464,. https://doi.org/10.4066/AMJ.2010.391
Meinel, C., & Leifer, L. (2015). Introduction—Design thinking is mainly about building innovators. In H. Plattner, C. Meinel, & L. Leifer (Eds.), Design thinking research: Building innovators (pp. 1–11). Springer International Publishing.
Michelot, F., Béland, S., & Poellhuber, B. (2022). A transnational comparative study of preservice teachers’ critical thinking skills and metaliteracy self-efficacy. Higher Education, Skills and Work-Based Learning, 12(5), 866–883. https://doi.org/10.1108/HESWBL-10-2021-0191
Mojang. (2022). Meet and greet! Retrieved from https://education.minecraft.net/en-us/lessons/meet-and-greet.
Mumford, M. D., Peterson, N. G., & Childs, R. A. (1999). Basic and cross-functional skills. In N. G. Peterson, M. D. Mumford, W. C. Borman, P. R. Jeanneret, & E. A. Fleishman (Eds.), An occupational information system for the 21st century: The development of O*NET (pp. 49–69). American Psychological Association.
National Research Council. (2010). Exploring the intersection of science education and 21st century skills: A workshop summary. The National Academies Press.
National Research Council. (2013). Next generation science standards: For states, by states. The National Academies Press. https://doi.org/10.17226/18290
Orchard, J., & Winch, C. (2015). What training do teachers need?: Why theory is necessary to good teaching. Impact, 22, 1–43. https://doi.org/10.1111/2048-416X.2015.12002.x
O’Reilly, J., & Barry, B. (2021). The effect of the use of computer-aided design (CAD) and a 3D printer on the child’s competence in mathematics. Irish Educational Studies, 1–24. https://doi.org/10.1080/03323315.2021.1964561
Palmberg, I., Hofman-Bergholm, M., Jeronen, E., & Yli-Panula, E. (2017). Systems thinking for understanding sustainability? Nordic student teachers’ views on the relationship between species identification, biodiversity and sustainable development. Education Sciences, 7(3), 72. https://doi.org/10.3390/educsci7030072
Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books.
Parsazadeh, N., Cheng, P.-Y., Wu, T.-T., & Huang, Y.-M. (2021). Integrating computational thinking concept into digital storytelling to improve learners’ motivation and performance. Journal of Educational Computing Research, 59(3), 470–495. https://doi.org/10.1177/0735633120967315
Paulus, P. B., Baruah, J., & Kenworthy, J. B. (2018). Enhancing collaborative ideation in organizations. Frontiers in Psychology, 9, 2024–2024. https://doi.org/10.3389/fpsyg.2018.02024
Pearson, K., Pulimood, M., & Bates, D. (2017). Collaborating across boundaries to engage journalism students in computational thinking. Teaching Journalism & Mass Communication, 7(1), 77–91.
Peppler, K. A., & Warschauer, M. (2011). Uncovering literacies, disrupting stereotypes: Examining the (dis)abilities of a child learning to computer program and read. International Journal of Learning and Media, 3(3), 15–41. https://doi.org/10.1162/IJLM_a_00073
Razzouk, R., & Shute, V. (2012). What Is design thinking and why is it important? Review of Educational Research, 82(3), 330–348. https://doi.org/10.3102/0034654312457429
Richmond, B. (1994). System dynamics/systems thinking: Let’s just get on with it. System Dynamics Review, 10(2–3), 135–157. https://doi.org/10.1002/sdr.4260100204
Runco, M. A. (1990). The divergent thinking of young children: Implications of the research. The Gifted Child Today, 13(4), 37–39. https://doi.org/10.1177/107621759001300411
Spain, S. (2019). Systems thinking applied to curriculum and pedagogy: A review of the literature. Curriculum Perspectives, 39(2), 135–145. https://doi.org/10.1007/s41297-019-00085-1
Šukolová, D., & Nedelová, M. (2017). Critical thinking in initial teacher education: Secondary data analysis from Ahelo GS feasibility study in Slovakia. The New Educational Review, 49(3), 19–29. https://doi.org/10.15804/tner.2017.49.3.01
Turner, K., Jones, E., Davies, M., & Ramsay, S. (2004). Student teacher perceptions of preparedness for teaching. International Conference on Cognition, Language, and Special Education Research, Nathan, Queensland.
Uzumcu, O., & Bay, E. (2020). The effect of computational thinking skill program design developed according to interest driven creator theory on prospective teachers. Education and Information Technologies, 26(1), 565–583. https://doi.org/10.1007/s10639-020-10268-3
Van den Broek, J. (2015). We must teach tomorrow's skills today. Organisation for Economic Cooperation and Development. The OECD Observer, 82.
Vande Zande, R. (2007). Design education as community outreach and interdisciplinary study. Journal for Learning through the Arts, 3(1). https://doi.org/10.21977/D93110053
Warren, C. A. (2018). Empathy, teacher dispositions, and preparation for culturally responsive pedagogy. Journal of Teacher Education, 69(2), 169–183. https://doi.org/10.1177/0022487117712487
Weintrop, D., Beheshti, E., Horn, M., Orton, K., Jona, K., Trouille, L., & Wilensky, U. (2016). Defining computational thinking for mathematics and science classrooms. Journal of Science Education and Technology, 25(1), 127–147. https://doi.org/10.1007/s10956-015-9581-5
Wieselmann, J. R., Dare, E. A., Ring-Whalen, E. A., & Roehrig, G. H. (2020). “I just do what the boys tell me”: Exploring small group student interactions in an integrated STEM unit. Journal of Research in Science Teaching, 57(1), 112–144. https://doi.org/10.1002/tea.21587
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33–35.
Wing, J. M. (2008). Computational thinking and thinking about computing. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical, and Engineering Sciences, 366(1881), 3717–3725. https://doi.org/10.1098/rsta.2008.0118
Yadav, A., Gretter, S., Good, J., & McLean, T. (2017). Computational thinking in teacher education. In P. J. Rich & C. B. Hodges (Eds.), Emerging research, practice, and policy on computational thinking (pp. 205–220). Springer International Publishing. https://doi.org/10.1007/978-3-319-52691-1_13
Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J. T. (2014). Computational thinking in elementary and secondary teacher education. ACM Transactions on Computing Education, 14(1), 1–16. https://doi.org/10.1145/2576872
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Cerovac, M., Keane, T. (2023). Incorporating Technologies-Based Thinking Skills in Initial Teacher Education. In: Garvis, S., Keane, T. (eds) Technological Innovations in Education. Springer, Singapore. https://doi.org/10.1007/978-981-99-2785-2_7
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