Assessing Digital Learning Platforms in Higher Education with Reference to Student Satisfaction- A PLS-SEM Approach

Abstract

Abstract Knowledge and information are crucial to any society's progress; hence the level of education and awareness of its citizens directly affects that progress. In this economy, various factors come into play, such as the availability of educated and skilled workers, the development of novel and efficient systems, and the state of the information infrastructure. The recent epidemic, which prompted widespread lockdowns and restrictions, will continue to be felt for decades. The repercussions of such events have been most noticeable among educators and their students. Thus online education is need of the hour to make sure quality education reaches to each corner of the world on timely basis. So the assessment of digital learning platform in higher education institutions of India is the primary topic of this research. This study examines the various facets of student satisfaction as well as the future of online learning. 460 responses were collected via a Likert-scale questionnaire in a randomly selected online survey. The R programming language was used to do a partial least squares structural equation modeling analysis on the data in R studio. Based on the findings of the study, it is clear that both students and teachers will be able to adapt throughout the course of time, and it is possible that the teaching-learning process will evolve into a hybrid form of education.