skip to main content

STRUCTURAL EQUATION MODELING FOR ANALYZING THE TECHNOLOGY ACCEPTANCE MODEL OF STUDENTS IN ONLINE TEACHING DURING THE COVID-19 PANDEMIC

*Suwardi Annas  -  Statistics Study Program, Universitas Negeri Makassar, Indonesia
Ruliana Ruliana  -  Statistics Study Program, Universitas Negeri Makassar, Indonesia
Wahidah Sanusi  -  Mathematics Department, Universitas Negeri Makassar, Indonesia
Open Access Copyright (c) 2022 MEDIA STATISTIKA under http://creativecommons.org/licenses/by-nc-sa/4.0.

Citation Format:
Abstract
Online teaching can be a solution in the learning process during the pandemic to stop the spreading of the Covid-19 infection. Universitas Negeri Makassar (UNM) as an educational institution provided a Learning Management System (LMS) to support the online teaching and learning process with the platform name SYAM-OK. In this research, we examine the behavioral model of a student's acceptance of the use of an information system SYAM-OK in online teaching. 120 students in the sample used online teaching fully during the pandemic. The data was obtained from an online questionnaire using a google form whose contents were based on Technology Acceptance Model (TAM).  The variable of TAM consists of Perceived Ease of Use, Perceived Usefulness, Attitude Towards, Behavioral Intention, and Actual Use. The Structural Equation Modeling (SEM) PLS method was used in this research for modeling the relationship between TAM variables. Based on the results of the SEM we obtained that Perceived Usefulness significantly affects the Attitude Towards and Attitude Towards significantly affects the behavioral intention. By using the bootstrapping and T statistics, we conclude that SEM has identified the significant effects between variables of TAM.

 

Note: This article has supplementary file(s).

Fulltext View|Download |  Research Instrument
STRUCTURAL EQUATION MODELING (SEM) FOR ANALYZING THE TECHNOLOGY ACCEPTANCE MODEL (TAM) OF SUDENTS IN ONLINE TEACHING DURING THE COVID-19 PANDEMIC
Subject
Type Research Instrument
  Download (277KB)    Indexing metadata
Keywords: Learning Management System; SYAM-OK; Technology Acceptance Model; and Structural Equation Modeling

Article Metrics:

  1. Aggorowati, M. A., Iriawan, N., Suhartono, & Gautama, H. (2012). Restructuring and Expanding Technology Acceptance Model Structural Equation Model and Bayesian Approach, American Journal of Applied Sciences 9(4), 496–504
  2. Al-Adwan, A., Al-Adwan, A., & Smedley, J. (2013). Exploring Students Acceptance of e-learning using Technology Acceptance Model in Jordanian Universities, International Journal of Education and Development using Information and Communication Technology. 9(2), 4–18
  3. Annas, S., Isbar, M., Rifandi, M., Sanusi, W., & Side, S. (2020). Stability Analysis and Numerical Simulation of SEIR Model for Pandemic COVID-19 Spread in Indonesia. Chaos, Solitons and Fractals: The Interdisciplinary Journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena, 139, 110072. https://doi.org/10.1016/j.chaos.2020.110072
  4. Annas, S., Aswi, Abdi, M & Poerwanto, B., (2022), Binary Logistic Regression Model of Stroke Patients: A Case Study of Stroke Centre Hospital in Makassar, Indonesian Journal of Statistics and Its Applications, Vol. 6 No. 1, 161-169. https://doi.org/10.29244/ijsa.v6i1p161-169
  5. Bao, R. (2018). Collaborative Dialogue Between Complete Beginners of Chinese as a Foreign Language : Implications it Has for Chinese Language Teaching and Learning. The Language Learning Journal, 48(4), 414-426. https://doi.org/10.1080/09571736.2017.1422136
  6. Bollen, K., & Lennox, R. (2014). Conventional Wisdom on Measurement: A Structural Equation Perspective. Psychologgical Bulletin, 110, 305-134. https://doi.org/10.1037/0033-2909.110.2.305
  7. Burd, B. A., & Buchanan, L. E. (2009). Teaching the Teachers : Teaching and Learning Online. Reference Services Review, 32, 404-412. https://doi.org/10.1108/00907320410569761
  8. Chin, W. W. (1998). The Partial Least Squares Approach to Structural Equation Modeling. In G. A. Marcoulides (Ed.), Modern Methods for Business Research , 295–336
  9. Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology ( UTAUT ): Towards a Revised Theoretical Model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y
  10. Flores, M. A., & Gago, M. (2020). Teacher Education in Times of COVID-19 Pandemic in Portugal : National, Institutional, and Pedagogical Responses. Journal of Education for Teaching, 46(4), 507–516. https://doi.org/10.1080/02607476.2020.1799709
  11. Davis, F. D., (1986), A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Sloan School of Management, Massachusetts Institute of Technology
  12. Hair, J, F., Black, W, C., Babin, B, J. & Anderson, R, E., (2010), Multivariate Data Analysis. 7th Edition, Pearson, New York
  13. Hussein, Z. (2017). Leading to Intention: The Role of Attitude in Relation to Technology Acceptance Model in E-Learning. Procedia - Procedia Computer Science, 105(December 2016), 159–164. https://doi.org/10.1016/j.procs.2017.01.196
  14. Isnayanti & Abdurakhman (2019). Metode Diagonally Weighted Least Square (DWLS) pada Structural Equation Modeling untuk Data Ordinal: Studi Kasus dari Pengguna Jasa Kereta Api Majapahit Malang-Pasar Senen. Media Statistika, 12(1), 100–116. DOI: 10.14710/medstat.12.1.100-116
  15. Marandu, E. E., & Makudza, F. (2019). Predicting Students ’ Intention and Actual Use of E-Learning Using the Technology Acceptance Model : A Case from Zimbabwe. International Journal of Learning, Teaching and Educational Research, 18(6), 110–127
  16. Ngabiyanto, Nurkhin, A., Mukhibad, H., & Harsono. (2021). European Journal of Educational Research. 10(3), 1171–1180
  17. Nikou, S. A., & Economides, A. A. (2019). Factors that Influence Behavioral Intention to Use Mobile-Based Assessment: A STEM Teachers' Perspective, British Journal of Educational Technology, 50(2), 587–600
  18. Pasch, G., & Stewart, Q., (2020), Using the Internet to Teach the Internet: An Opportunistic Approach. The Electronic Library, 20, 401–412
  19. Purwandari, S., & Susena, E. (2022). Media at Polytechnic Indonusa Surakarta, International Journal of Computer and Information System (IJCIS), 03, 34-38
  20. Rahman, H. (2014). The Role of ICT in Open and Distance Education. Turkish Online Journal of Distance Education, 15(4), 62-169
  21. Ruliana, Budiantara, I. N., Otok, B. W., & Wibowo, W. (2015). Parameter Estimation of Nonlinear Structural Model (SEM) using Spline Approach, Applied Mathematical Sciences, 9, 7439-7451
  22. Samat, M. F., Awang, N. A., Nor, S., Hussin, A., & Mat, F. A. (2020). Online Distance Learning Amidst Covid-19 Pandemic Among University Students: A Practicality of Partial Least Squares Structural Equation Modelling Approach, Asian Journal of University Education (AJUE), 16(3)
  23. Sangeeta, and Tandon, U., (2021), Factors Influencing Adoption of Online Teaching by School Teachers: A Study Dduring COVID-19 pandemic, Journal Public Affairs, 21. https://doi.org/10.1002/pa.2503
  24. Trujillo, G, S, (2009), PATHMOX Approach: Segmentation Trees in Partial Least Squares Path Modeling, Ph. Dissertation, Universitat Politecnica De Catalunya, Barcelona
  25. Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
  26. Wold, H. (1980). Model Construction and Evaluations when Theoretical Knowledge is Scare: Theory and Applications of Partial Least Square. In. J. Krenta & J.B Ramsey (Eds), Evaluation of Econometric Model, New York: Academic Press 47–74
  27. Yilmaz, Y., (2022), Structural Equation Modelling Analysis of the Relationships Among University Students' Online Self-Regulation Skills, Satisfaction and Perceived Learning, Participatory Educational Research (PER), 9(3), 1-21

Last update:

No citation recorded.

Last update: 2024-11-29 05:53:41

No citation recorded.