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Multiple regression model in testing the effectiveness of LMS after COVID-19

Meta Amalya Dewi, Meta Amalya Dewi and Dina Fitria Murad, Dina Fitria Murad and Inn, Arba’iah and Taufik Darwis, Taufik Darwis and Noor Udin, Noor Udin (2023) Multiple regression model in testing the effectiveness of LMS after COVID-19. In: International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, CITISIA 2022, 14 November 2022 - 16 November 2022, Sydney, Australia.

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Official URL: http://dx.doi.org/10.1007/978-3-031-29078-7_81

Abstract

The role of the Learning Management System (LMS) in universities today is no longer as support but as a primary need. This has been proven when the COVID-19 pandemic hit the world as a medium that bridged the needs of students and lecturers in learning activities. Measured the effect of Access to LMS, Material of LMS and Discussion Forums on the Effectivity of LMS after the COVID-19 pandemic is the goal of this study at one of the universities that provide distance learning which allows changes in student learning patterns during and after the pandemic. The output showed that access to LMS has a positive and significant effect, material has a positive but not significant effect, and forum discussions have a positive and significant effect.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:discussion forum, learning management system, material, online learning
Subjects:H Social Sciences > HD Industries. Land use. Labor
Divisions:Management
ID Code:108195
Deposited By: Yanti Mohd Shah
Deposited On:20 Oct 2024 08:09
Last Modified:20 Oct 2024 08:09

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