IJBTT

Demystifying Digital Resilience in Online Teaching: using the Technology Acceptance Model to Magnify Human Factors

Demystifying Digital Resilience in Online Teaching: using the Technology Acceptance Model to Magnify Human Factors
	© 2023 by IJETT Journal
	Volume-71 Issue-5
	Year of Publication : 2023
	Author : Siti Noorsiah Jamaludin, Gede Pramudya Ananta, Abd Samad Hasan Basari
	DOI : 10.14445/22315381/IJETT-V71I5P221

How to Cite?

Siti Noorsiah Jamaludin, Gede Pramudya Ananta, Abd Samad Hasan Basari, "Demystifying Digital Resilience in Online Teaching: using the Technology Acceptance Model to Magnify Human Factors," International Journal of Engineering Trends and Technology, vol. 71, no. 5, pp. 197-210, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I5P221

Abstract
The rapid advancement of technology in the learning environment has accelerated the digitalization of education, necessitating academicians’ embrace of digitalization in teaching and learning to meet the demand for educational activities. While it was anticipated that academicians would effectively accept the new changes, the transformation of online teaching practices spawned complexities. This study aims to comprehend the behaviour and attitude of academics toward online teaching based on a quantitative survey of 142 respondents (N = 142). The Technology Acceptance Model (TAM) is tested for gauging people’s acceptance of technology in various settings. The TAM has been expanded in this study to assess the success of actual academics in adopting online teaching practices. The previous literature review identified self-efficacy, digital anxiety, and subjective norms as human factors in online teaching. Following identifying these variables, a conceptual model with emotional aspects was designed as a new contribution to this study. Understanding academics’ digital adoption and highlighting their attitudes and behaviours regarding the acceptance of online teaching are essential goals of this research. This study is expected to provide academics with theoretical support when deciding on human factors to include in the TAM model. This study is novel in its conceptualization of the model that employs emotional aspects as an external construct to forecast academics’ acceptance of online teaching. Results show that human factors play a vital role in academics to form attitudes and behaviour toward online teaching, which may be used as a guide for implementing online teaching.

Keywords
Digital learning, Digital resilience, Human factors, Online teaching, TAM.

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