Implications of COVID-19 on Student Learning Satisfaction (SLS): A Remedial Framework for Universities

Present study aims to investigate the implications of COVID-19 on the learning satisfaction of engineering students. In this regard, data were collected from 623 students living in the urban/rural areas and studying in the public/private universities of a developing country. Authenticity of the data was checked with the help of KMO (Kaiser-Meyer-Olkin) and Bartlett tests, while descriptive statistics, ANOVA, and multiple regression were used for data analysis. The results indicated an asymmetrical pattern, as the students living in urban areas and studying in private universities expressed the highest level of satisfaction (84.6%), while the students living in rural areas and studying in public sector universities expressed the lowest satisfaction scores (54.1%). It was observed that home learning conditions, availability of suitable computing devices, quality of internet services, and instructional methodology had the greatest impact on student learning satisfaction. Afterwards, structured interviews were conducted with the concerned stakeholders to develop a remedial framework for the guidance of universities. Although, the focus of the study was engineering students, yet the insights of the paper are quite generic and can be applied to other educational fields as well.