Authors: Kumar Rakesh, GLA University Yadav Kanchan, GLA University Mathura
This research investigates student behaviours and preferences for online learning to assess their perceived effectiveness. This study aims to identify the key elements that affect satisfaction and engagement experienced by student in the online learning, particularly considering the shift of learning from classrooms to online e-learning, because of the COVID-19 pandemic. 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