Toward an E-learning adoption: Sustainable technology used

Susanti, Leni and Alamsyah, Doni Purnama and Othman, Norfaridatul Akmaliah (2023) Toward an E-learning adoption: Sustainable technology used. In: 2022 4th International Conference on Sustainable Manufacturing, Materials and Technologies, ICSMMT 2022, 11 June 2022 through 12 June 2022, Coimbatore.

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Abstract

The phenomenon that occurs in universities today is the increase in the use of e-learning during the Covid-19 pandemic. However, the readiness of students and universities is seen as too short. The purpose of this research is to examine the relationship between expected benefits, e-learning curriculum, and educational partners in supporting student e-learning adoption. This study supports the sustainability of technology used in e-learning concepts. This research method is a quantitative survey of students in the city of Bandung (Indonesia) who implement e-learning as a learning medium. Data from students were taken through a questionnaire and processed using SmartPLS. The analysis was carried out using regression analysis with research hypothesis testing. The results of the study found that the expected benefits, e-learning curriculum, and educational partners have a positive relationship with the e-learning adoption of students in online learning. The E-learning curriculum is an antecedent variable that has better support for e-learning adoption. The research findings explain that e-learning adoption in universities can be built by three aspects starting from the e-learning curriculum, expected benefits, to educational partners. There is important information from this research that can be used as information support on the implementation and sustainability of online learning. E-learning organizers are expected to be able to improve the concept of e-learning, especially in the curriculum, because it has an important role to increase student e-learning adoption.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Students, Learning and learning models, Curriculum, Universities, Coronaviruses, Regression analysis, Statistical analysis
Divisions:	Faculty of Technology Management and Technopreneurship
Depositing User:	Anis Suraya Nordin
Date Deposited:	17 Oct 2024 08:32
Last Modified:	17 Oct 2024 08:32
URI:	http://eprints.utem.edu.my/id/eprint/28016
Statistic Details:	View Download Statistic

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