Analysis of Student Satisfaction in the Current Online Teaching Scenario

Abstract

The current COVID situation has put the entire education system in a state of shock and has forced the educators to adopt online teaching at a rapid pace. Faculty and students are working hard to adapt to new and continuously evolving methods of and to make it as close to a classroom experience as possible. Hence an analysis of student satisfaction for a specific course is planned through analytical means in this article. Data is collected using the distance education learning environments survey as it closely resembles the current online teaching scenario. The survey captures the relationship between student satisfaction and parameters such as faculty support, student interaction, active learning, student autonomy, authentic learning and personal relevance. The survey is designed as a five point Likert type set of choices for each of the parameters. The participants of this study were 150 undergraduate students of Second year of Kalasalingam Academy of Research and Education who were taking a common course in Mathematics. From the survey results, correlation analysis and descriptive statistics is conducted to understand the parameters which considerably affect the student satisfaction considerably. The analysis shows that faculty interaction and student interaction were the most significant factors affecting student satisfaction. These results can directly act as an input to the institutions which are finding the aspect of online classes challenging and will motivate them to address the key issues directly to improve their student satisfaction.