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ABSTRACT LIBRARY

The study presents some key research findings that include Accessibility

Publisher: IEEE

Authors: Kumar Rakesh, GLA University; Mathura Yadav Kanchan, GLA University

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Abstract:

The quantitative approach was used in that data attached from a structured questionnaire was collected from college students that focused on student experience, preference and challenges for online learning. The data is pre-processed and then placed in a algorithm for classification for each of the learning achieved behaviours. The study presents some key research findings that include Accessibility to the technology, Content delivery and Learning styles were determinants of perceived effectiveness in online learning environment. Also, was identified differences in male and female student traffic in their transition to online learning. The conclusions are an important contribution for advances educators and organizations to consider when trying to improve online learning and implement lifetime learning for the e-learning design interventions. Ultimately, it is hoped the overall efficacy of online education will be improved

Keywords: Online learning, Machine learning in education, Digital education, E-learning preferences, Technological barriers

Published in: 2024 Asian Conference on Communication and Networks (ASIANComNet)

Date of Publication: --

DOI: -

Publisher: IEEE

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