RESEARCH PAPER
Preservice Teachers’ Use of Computational Thinking to Facilitate Inquiry-based Practical Work in Multiple-deprived Classrooms
 
 
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University of the Free State, SOUTH AFRICA
 
 
Publication date: 2021-01-16
 
 
EURASIA J. Math., Sci Tech. Ed 2021;17(1):em1933
 
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ABSTRACT
Inquiry-based practical work (IBPW) is one of the innovative instructional strategies in science education. Science teacher preparation programmes play a role in preparing preservice teachers to facilitate IBPW in classrooms located in different school settings, including multiple-deprived classrooms. The adverse conditions against the successful implementation of IBPW found in multiple-deprived classrooms provide problems that preservice teachers will have to solve in their future classrooms. It is against this background that this study explored how preservice science teachers used computational thinking as a problem-solving strategy when facilitating IBPW in multiple-deprived classrooms. Using a single-case exploratory study, the experiences of 16 preservice physical sciences teachers were elicited through lesson planning, simulated teaching, and reflection. The data collected were analysed through thematic-content-analysis techniques. Findings indicate how through the use of computational thinking, participants were able to solve problems that had the potential to inhibit the implementation of IBPW.
 
REFERENCES (28)
1.
Akuma, F. V., & Callaghan, R. (2019). Teaching practices linked to the implementation of inquiry‐based practical work in certain science classrooms. Journal of Research in Science Teaching, 56(1), 64-90. https://doi.org/10.1002/tea.21....
 
2.
Andriessen, D. (2007). Combining design-based research and action research to test management solutions. Paper presented at the 7th World Congress Action Learning, Action Research and Process Management, Groningen, 22-24 August, pp. 1-8.
 
3.
Cheng, P. Y., Talib, O., & Othman, A. (2016). Science teaching: Perceptions, attitudes and instructional practices. Jurnal Pendidikan Sains and Matematik Malaysia, 6(2), 1-17. Retrieved from https://ejournal.upsi.edu.my/i....
 
4.
Chikoko, V. (2018). The nature of the deprived context: Leadership that works in deprived school contexts of South Africa. Nova Science Publishers.
 
5.
Collato, D. C., Dresch, A., Lacerda, D. P., & Bentz, I. G. (2018). Is action design research indeed necessary? Analysis of synergies between action research and design science research. Syst. Pract. Action Research, 31, 239-267. https://doi.org/10.1007/s11213....
 
6.
Djambong, T., & Freiman, V. (2016). Task-based assessment of students’ computational thinking skills developed through visual programming or tangible coding environments. 13th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA), Mannheim, Germany, 28-30 October, pp. 41-51.
 
7.
Dunn, J., & Ramnarain, U. (2020). The effect of simulation-supported inquiry on South African natural sciences learners’ understanding of atomic and molecular structures. Education Science, 10(10), 280. https://doi.org/10.3390/educsc....
 
8.
Hestness, E., Ketelhut, D. J., McGinnis, J. R., & Plane, J. (2018). Professional knowledge building within an elementary teacher professional development experience on computational thinking in science education. Journal of Technology and Teacher Education, 26(3), 411-435. Retrieved from https://www.learntechlib.org/p....
 
9.
Kazimoglu, C., Kiernan, M., Bacon, L., & MacKinnon, L. (2012). Learning programming at the computational thinking level via digital game-play. Procedia Computer Science, 9, 522‑531. https://doi.org/10.1016/j.proc....
 
10.
Kidman, G. (2012). Australia at the crossroads: A review of school science practical work. Eurasia Journal of Mathematics, Science and Technology Education, 8(1), 35-47. https://doi.org/10.12973/euras....
 
11.
Kim, M., & Tan, A. L. (2011). Rethinking difficulties of teaching inquiry‐based practical work: Stories from elementary pre‐service teachers. International Journal of Science Education 33(4), 465-486. https://doi.org/10.1080/095006....
 
12.
Magnusson, S. J., Borko, H., & Krajcik, J. S. (1999). Nature, sources, and development of pedagogical content knowledge for science teaching. In J. Gess-Newsome & N. Lederman (Eds.), Examining pedagogical content knowledge (pp. 95-132). Kluwer Press. https://doi.org/10.1007/0-306-....
 
13.
Maringe, F., Masinire, A., & Nkambule, T. (2015). Distinctive features of schools in multiple deprived communities in South Africa: Implications for policy and leadership. Educational Management Administration and Leadership, 43(3), 363-385. https://doi.org/10.1177/174114....
 
14.
Mouza, C., Yang, H., Pan, Y. C., Ozden, S. Y., & Pollock, L. (2017). Resetting educational technology coursework for pre-service teachers: A computational thinking approach to the development of technological pedagogical content knowledge (TPACK). Australasian Journal of Educational Technology, 33(3), 61-76. https://doi.org/10.14742/ajet.....
 
15.
Mulhall, P. J., Berry, A., & Loughran, J. (2003). Frameworks for representing science teachers’ pedagogical content. Asia-Pacific Forum in Science Learning and Teaching, 4(2), Article 2, 1‑25.
 
16.
Ndlovu, M., & Meyer, D. (2019). Readiness of teachers to teach mathematics with technology: A case study of a school in Gauteng. The 63rd ICET World Assembly, Johannesburg, pp. 188‑197.
 
17.
Noble, M., Zembe, W., Wright, G., & Avenell, D. (2013). Multiple deprivation and income poverty at small area level in South Africa in 2011. SASPRI.
 
18.
Printy, S. M. (2010). How principals influence instructional practice: Leadership levers. In W.K. Hoy & M. DiPaola (Eds.), Analyzing social contexts: Influences of principals and teachers in service of students (pp. 71-102). Information Age Publishing.
 
19.
Ramnarain, U., & Hlatswayo, M. (2018). Teacher beliefs and attitudes about inquiry-based learning in a rural school district in South Africa. South African Journal of Education, 38(1), 1-10. https://doi.org/10.15700/saje.....
 
20.
Reid, N., & Shah, I. (2007). The role of laboratory work in university chemistry. Chemistry Education Research and Practice, 8(2), 172-185. https://doi.org/10.1039/B5RP90....
 
21.
Shulman, L. (1987). Knowledge and teaching: Foundations of the new reform. Harvard Educational Review, 57(1), 1-22. https://doi.org/10.17763/haer.....
 
22.
Thanh, N. C., & Thanh, T. T. L. (2015). The interconnection between interpretivist paradigm and qualitative methods in education. American Journal of Educational Science, 1(2), 2015, 24-27.
 
23.
Tsakeni, M. (2018). Inquiry-based practical work in physical sciences: Equitable access and social justice issues. Issues in Educational Research, 28(1), 187-201. Retrieved from http://www.iier.org.au/iier28/....
 
24.
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....
 
25.
Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35. https://doi.org/10.1145/111817....
 
26.
Wing, J. M. (2017). Computational thinking’s influence on research and education for all. Italian Journal of Educational Technology, 25(2), 7-14. https://doi.org/10.17471/2499-....
 
27.
Yadav, A., Mayfield, C., Zhou, N., Hambrusch, S., & Korb, J.T. (2014). Computational thinking in elementary and secondary teacher education. ACM Trans. Comput. Educ., 14(1), Article 5. https://doi.org/10.1145/257687....
 
28.
Yadav, A., Stephenson, C., & Hong, H. (2017). Computational thinking for teacher education. Communications of the ACM, 60(4), 55-62. https://doi.org/10.1145/299459....
 
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