Research Article

FACTORS AFFECTING TEACHERS’ ONLINE LEARNING EXPERIENCES IN PROFESSIONAL DEVELOPMENT PROGRAM: STRUCTURAL EQUATION MODELLING

Volume: 24 Number: 4 October 1, 2023
EN

FACTORS AFFECTING TEACHERS’ ONLINE LEARNING EXPERIENCES IN PROFESSIONAL DEVELOPMENT PROGRAM: STRUCTURAL EQUATION MODELLING

Abstract

There is a sudden transition in education during this pandemic era of COVID-19. Students’ learning which is previously conducted in an offline face-to-face meeting should shift to online learning. This sudden change surely affects students’ learning experience. In the attempt to create a better online learning, this study investigates the interplay of the factors affecting participants’ online learning experience namely selfdirected learning and TPACK (Technological, Pedagogical, and Content Knowledge). A quantitative study using Partial Least Square- Structural Equation Modeling (PLS-SEM) model analysis was employed to explore this issue. A total of 434 in-service teachers joining an online Teacher Professional Development program participated in this study. The results show that Self-directed learning and TPACK are positively and significantly associated with online learning experience. It indicates that students with high self-directed learning skills and TPACK are predicted to have a positive and satisfying online learning experience. Further implication for pedagogy and future research recommendation is discussed.

Keywords

COVID-19, online learning, self-directed learning, TPACK

References

  1. Badiozaman, I. F. A. (2021). Exploring online readiness in the context of the COVID 19 pandemic pandemic. Teaching in Higher Education, 1–19. https://doi.org/10.1080/13562517.2021.1943654
  2. Chai, C. S., Koh, J. H. L., & Tsai, C. C. (2013). A review of technological pedagogical content knowledge. Educational Technology and Society, 16(2), 31–51.
  3. Chai, C. S., Tan, L., Deng, F., & Koh, J. H. L. (2017). Examining pre-service teachers’ design capacities for web-based 21st century new culture of learning. Australasian Journal of Educational Technology. https://doi.org/10.14742/ajet.3013
  4. Cho, M. H., Cheon, J., & Lim, S. (2021). Preservice teachers’ motivation profiles, self-regulation, and affective outcomes in online learning. Distance Education, 42(1), 37–54. https://doi.org/10.1080/01587919.2020.1869528
  5. Chung, E., Subramaniam, G., & Dass, L. C. (2020). Online learning readiness among university students in Malaysia amidst Covid-19. Asian Journal of University Education, 16(2), 45–58. https://doi.org/10.24191/AJUE.V16I2.10294
  6. Crawford, J., Butler-Herderson, K., Rudolph, J., Malkawi, B., Glowatz, M., Burton, R., Magni, P. A., & Lam, S. (2020). COVID-19: 20 countries’ higher education intra-period digital pedagogy responses. Journal of Applied Learning & Teaching, 3(1), 1–20. https://doi.org/10.37074/jalt.2020.3.1.7
  7. Deiaco, R., Samuelson, C., Grifenhagen, J., Davis, D. S., Deiaco, R., Samuelson, C., Grifenhagen, J., Davis, D. S., & Davis, D. S. (2021). Using Insights from Teachers to Inform Online Professional Development in Early Literacy Instruction. Literacy Research and Instruction, 00(00), 1–28. https://doi.org/10.1080/19388071.2021.1921889
  8. Dimitrios, R., & Athanassios, J. (2019). Examining Primary Education Teachers’ Perceptions of TPACK and the Related Educational Context Factors. Journal of Research on Technology in Education, 0(0), 1–21. https://doi.org/10.1080/15391523.2019.1666323
  9. Foulger, T., Graziano, K., Schmidt-Crawford, D., & Slykhuis, D. (2017). Teacher Educator Technology Competencies. Journal of Technology and Teacher Education.
  10. Gilmore, D. (2020). Implementing a coaching model for the development of online teachers teachers. International Journal for Academic Development, 00(00), 1–13. https://doi.org/10.1080/1360144X.2020.1822847
APA
Prıhandoko, L. A. (2023). FACTORS AFFECTING TEACHERS’ ONLINE LEARNING EXPERIENCES IN PROFESSIONAL DEVELOPMENT PROGRAM: STRUCTURAL EQUATION MODELLING. Turkish Online Journal of Distance Education, 24(4), 207-219. https://doi.org/10.17718/tojde.1149960
AMA
1.Prıhandoko LA. FACTORS AFFECTING TEACHERS’ ONLINE LEARNING EXPERIENCES IN PROFESSIONAL DEVELOPMENT PROGRAM: STRUCTURAL EQUATION MODELLING. TOJDE. 2023;24(4):207-219. doi:10.17718/tojde.1149960
Chicago
Prıhandoko, Lastika Ary. 2023. “FACTORS AFFECTING TEACHERS’ ONLINE LEARNING EXPERIENCES IN PROFESSIONAL DEVELOPMENT PROGRAM: STRUCTURAL EQUATION MODELLING”. Turkish Online Journal of Distance Education 24 (4): 207-19. https://doi.org/10.17718/tojde.1149960.
EndNote
Prıhandoko LA (October 1, 2023) FACTORS AFFECTING TEACHERS’ ONLINE LEARNING EXPERIENCES IN PROFESSIONAL DEVELOPMENT PROGRAM: STRUCTURAL EQUATION MODELLING. Turkish Online Journal of Distance Education 24 4 207–219.
IEEE
[1]L. A. Prıhandoko, “FACTORS AFFECTING TEACHERS’ ONLINE LEARNING EXPERIENCES IN PROFESSIONAL DEVELOPMENT PROGRAM: STRUCTURAL EQUATION MODELLING”, TOJDE, vol. 24, no. 4, pp. 207–219, Oct. 2023, doi: 10.17718/tojde.1149960.
ISNAD
Prıhandoko, Lastika Ary. “FACTORS AFFECTING TEACHERS’ ONLINE LEARNING EXPERIENCES IN PROFESSIONAL DEVELOPMENT PROGRAM: STRUCTURAL EQUATION MODELLING”. Turkish Online Journal of Distance Education 24/4 (October 1, 2023): 207-219. https://doi.org/10.17718/tojde.1149960.
JAMA
1.Prıhandoko LA. FACTORS AFFECTING TEACHERS’ ONLINE LEARNING EXPERIENCES IN PROFESSIONAL DEVELOPMENT PROGRAM: STRUCTURAL EQUATION MODELLING. TOJDE. 2023;24:207–219.
MLA
Prıhandoko, Lastika Ary. “FACTORS AFFECTING TEACHERS’ ONLINE LEARNING EXPERIENCES IN PROFESSIONAL DEVELOPMENT PROGRAM: STRUCTURAL EQUATION MODELLING”. Turkish Online Journal of Distance Education, vol. 24, no. 4, Oct. 2023, pp. 207-19, doi:10.17718/tojde.1149960.
Vancouver
1.Lastika Ary Prıhandoko. FACTORS AFFECTING TEACHERS’ ONLINE LEARNING EXPERIENCES IN PROFESSIONAL DEVELOPMENT PROGRAM: STRUCTURAL EQUATION MODELLING. TOJDE. 2023 Oct. 1;24(4):207-19. doi:10.17718/tojde.1149960