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What Drives Workers to Learn Online during COVID-19 Pandemics?
Conference paper

What Drives Workers to Learn Online during COVID-19 Pandemics?

Wen-Cheng Shen and Fu-Ren Lin
Proceedings of the Annual Hawaii International Conference on System Sciences, Vol.2023-January, pp.6462-6471
2023

Abstract

continuance intention COVID-19 e-learning self-determination theory technology acceptance models Engineering (all)
One of the common practices during the COVID-19 pandemic is to work or study from home. This study aims to reexamine the factors affecting individual continuance intention of e-learning. During the pandemic, via a survey conducted in 2022, we assessed workers' continuance intention of e-learning from different sectors in Taiwan. This research brought motivations as mediators in continuance intention to e-learning. Through the statistical analysis, we identified the mediation effect of motivations based on the self-determination theory. The results show that autonomous motivation facilitates the learners' computer self-efficacy, the quality of the system and content toward continuance intention; controlled motivation could mediate the monetary award in influencing the continuance intention. The internalization of motivation is also an effective mediator. The obtained results not only add new knowledge of what affected the continuance intention of e-learning during the pandemic but also provide guidance for employers to allocate resources to boost e-learning after the pandemic.

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