Predicting Student Satisfaction In Distance Education And Learning Environments

Authors : Ismail SAHIN

Pages : 113-119

View : 17 | Download : 9

Publication Date : 2007-06-01

Article Type : Research Paper

Abstract :The purpose of this study was to analyze characteristics of online learning environments. Data collected using the Distance Education Learning Environments Survey insert ignore into journalissuearticles values(DELES); were used to explore the relationship between student satisfaction and the following predictor variables: instructor support, student interaction and collaboration, personal relevance, authentic learning, active learning, and student autonomy. The participants of this study were 917 undergraduate students at an Anatolian university in Turkey. Results of the regression analysis show that four of the six DELES scales, namely, personal relevance, instructor support, active learning, and authentic learning, were significantly and positively related to student satisfaction. These results provide valuable feedback to institutions offering online classes and to educators evaluating satisfaction of their students.
Keywords : Student Satisfaction, Distance Education, Learning Environment, DELES