Evaluation of Student Satisfaction of the University of Labour and Social Affairs with the Quality of Online Training

Autor: Pham, Minh Tu, Le, Xuan Cu, Nguyen, Xuan Huong
Rok vydání: 2023
Předmět:
DOI: 10.5281/zenodo.8103852
Popis: The study uses qualitative and quantitative research methods to clarify the relationship between Functional Quality and Technical Quality affecting the Image factor. With a research sample size of 142 valid questionnaires of students participating in online learning along with methods of reliability coefficient analysis, exploratory factor analysis and multivariate regression, the research team has determined to determine the positive relationship of these factors. However, the research objective of the article is to assess the satisfaction of university students of social work with the quality of online training, so we continue to explore the second relationship which is the relationship between factor Image and student satisfaction. The univariate regression analysis method was used, and the results showed that Image and learner's satisfaction have a positive relationship with each other. Finally, based on the research results, we believe that in order to increase the satisfaction of learners, we need to emphasize the group of solutions that increase the evaluation level for the Technical Quality factor.
Databáze: OpenAIRE