HomeRomblon State University Research Journalvol. 6 no. 1 (2024)

The Structural Relationship between Secondary School Teachers’ Level of Computational Thinking Skills and Organizational Agility

Garry Vanz V. Blancia | Philip R Baldera

Discipline: Teacher Training

 

Abstract:

With the various problems encountered by secondary school teachers, the skills to adapt to the evolving educational landscape is imperative. In this study, secondary school teachers’ level of Computational Thinking Skills (CTS) and Organizational Agility (OA) was assessed, as well as the structural relationship of the two variables. Standardized CTS test and OA Test were adapted and revised based on the Philippines’ secondary school setting. Convenience sampling was done among 305 secondary school teachers in the division of Romblon. The sampling size was calculated using Raosoft software. SPSS v. 25 was used to calculate the descriptive statistics. The structural relationship between variables was modelled using Smart PLS software. Results revealed that secondary school teachers CTS and OA were high and very high, respectively. It was also found out that CTS significantly predicts secondary school teachers’ OA. It was recommended that activities such as problem-solving simulations be integrated in every school’s in-service training program for secondary school teachers’ sustained level of CTS and OA.



References:

  1. Adekunle, I. A., & Dakare, O. (2020). Sustainable manufacturing practices and performance in the Nigerian table water industry: A structural equation modeling approach. Management of Environmental Quality: An International Journal, 31(3), 669-688. https://doi.org/10.1108/MEQ-02-2019-0047
  2.  Amenyo, J. T., & Kpo, W. (2023). Leveraging programmable educational drones for learning STEM, computational thinking and higher order thinking in schools in rural villages. Drones: Various Applications, 4(12), 45-67. https://doi.org/10.5772/intechopen.1002465
  3.  Bakhshi, H., Downing, J.M., Osborne, M.A., Schneider, P. (2017). The Future of 10 Skills: Employment in 2030. Pearson and Nesta.
  4. Chanco, B. (2023). We’re losing private schools. The Philippine Star. https://www.philstar.com/business/2023/06/09/2 272433/were-losing-private-schools   
  5. Chen, Y.S., & Lin, M.H. (2014). The antecedents of organizational agility in the textile industry: An absorptive capacity perspective. Journal of Business Research, 67, 647-653.
  6. Cutumisu, M., Adams C., Glanfield, F., Yuen, C., and Lu, C. (2022). Using structural equation modeling to examine the relationship between preservice teachers; computational thinking, organizational agility through attitudes and skills. IEEE Trans. on Educ. 65(20), 177–183. https://doi.org/10.1109/TE.2021.3105938
  7. Gross, B., & Opalka, A. (2020). Too many schools leave learning to chance during the pandemic. In ERIC: Reports, 8. U.S. Department of Education.
  8. GrzeĊ›, B. (2023). Managing an agile organization–key determinants of orgnizational agility. Scientific Papers of Silesian University of Technology. Organization & Management/Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie, 1(172), 15-32. https://doi.org/10.29119/1641-3466.2023.172.17
  9.  Gurbuz, F. G. & Hatunoglu, S. B. (2022). Assessment of organizational agility: adaptation and validation of the scale for application in turkey. Journal of Management, Marketing and Logistics, 9(1), 27-37. https://doi.org/10.17261/pressacademia.2022. 15 46   
  10. Korkmaz, Ö., Çakir, R., & Özden, M. Y. (2017). A validity and reliability study of the computational thinking scales (CTS). Computers in Human Behavior, 72, 558–569. https://doi.org/10.1016/j.chb.2017.01.005
  11. Li, G. (2022). Research on the relationships between knowledge-based dynamic capabilities, organizational agility, and firm performance. Journal of Risk and Financial Management, 15(12), 606.
  12. Marhraoui, M. A., Idrissi, M. A. J., & El Manouar, A. (2021, June). An integrated human-AI framework towards organizational agility and sustainable performance. In 2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) (pp. 133-139). IEEE. https://doi.org/10.1109/icdata52997.2021.00035
  13.  Martínez, I. G., Batanero, J. M. F., Cerero, J. F., & León, S. P. (2023). Analysing the impact of artificial intelligence and computational sciences on student performance: Systematic review and meta-analysis. NAER: Journal of New Approaches in Educational Research, 12(1). https://doi.org/10.7821/naer.2023.1.1240
  14. Miller, A. F., Noble, A., & McQuillan, P. (2022). Understanding leadership for adaptive change in Catholic schools: A complexity perspective. Journal of Catholic Education, 25(1), 54-83. https://doi.org/10.15365/joce.2501032022
  15. Pouravid, S., Khosravipour, B., & Alibaygi, A. (2019). Mechanisms of capabilities and consequences organizational agility in Iranian agricultural higher education. Journal of Agricultural Education Administration Research, 10(47). https://doi.org/10.22092/JAEAR.2018. 122659.1 528
  16. Presser, A. E. L., Young, J. M., Rosenfeld, D., Clements, L. J., Kook, J. F., Sherwood, H., & Cerrone, M. (2023). Data collection and analysis for preschoolers: An engaging context for integrating mathematics and computational thinking with digital tools. Early Childhood Research Quarterly, 65, 42-56. https://doi.org/10.1016/j.ecresq.2023.05.012
  17.  Senin, S., Nasri, N. M., Senin, S., & Nasri, N. M. (2019). Teachers’ concern towards applying computational thinking skills in teaching and learning. International Journal of Academic Research in Business and Social Sciences, 9(1), 297-310. https://doi.org/10.6007/IJARBSS/v9- i1/5398
  18. Veiseh, S., & Eghbali, N. (2014). A study on ranking the effects of transformational leadership style on organizational agility and mediating role of organizational creativity. Management Science Letters, 4(9), 2121-2128. https://doi.org/10.5267/j.msl.2014.8.006
  19. Yeh, J., & Chu, H. (2017). Computational thinking, creativity, and organizational agility: A case study in a high-tech firm. Journal of Organizational Management, 15(3), 200-215.
  20. Zeb-Obipi, I., & Irabor-Ighedosa, J. (2023). A review of artificial intelligence and organizational agility. BW Academic Journal, 3(34),12-12.