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

Annas, Suwardi and Ruliana, Ruliana and Sanusi, Wahidah (2022) STRUCTURAL EQUATION MODELING FOR ANALYZING THE TECHNOLOGY ACCEPTANCE MODEL OF STUDENTS IN ONLINE TEACHING DURING THE COVID-19 PANDEMIC. Media Statistika, 15 (1). pp. 104-115. ISSN 2477-0647, 1979-3693

[img] Text
2. Jurnal Sinta 2_Media Statistika.pdf - Published Version
Download (320kB)
[img] Text
2. Hasil Turnitin Jurnal Sinta 2_Media Statistika.pdf - Additional Metadata
Download (2MB)
[img] Text
2. Hasil Review Jurnal Sinta 2_Media Statistika.pdf - Additional Metadata
Download (1MB)
[img] Text
2. Jejak Korespondensi Jurnal Sinta 2_Media Statistika.pdf - Additional Metadata
Download (383kB)
Official URL: https://doi.org/10.14710/medstat.15.1.104-115

Abstract

Online teaching can be a solution in the learning process during the pandemic to stop the spreading of the Covid19 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.

Item Type: Article
Subjects: FMIPA > STATISTIKA - (S1)
FMIPA > Matematika
Divisions: FAKULTAS MIPA
Depositing User: FMIPA UNM
Date Deposited: 24 Aug 2022 02:41
Last Modified: 24 Aug 2022 04:20
URI: http://eprints.unm.ac.id/id/eprint/24407

Actions (login required)

View Item View Item
Test Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.