文章基本信息

标题：Learner satisfaction for a hybrid course in probability
本地全文：下载
作者：Amir T. Payandeh Najafabadi ; Maryam Omidi Najafabadi
期刊名称：Journal of Emerging Trends in Computing and Information Sciences
电子版ISSN：2079-8407
出版年度：2011
卷号：2
期号：1
页码：30-36
出版社：ARPN Publishers
摘要：Success of any training system is based on satisfaction of the user and factors affecting this satisfaction. This article studies satisfaction of a hybrid training system (which is a combination of e-learning and traditional training systems) for Probability and Statistics for Engineers at Shahid Behashti University in Iran. Using the related literature, this article derives a model for factors which impact on learner satisfaction in the hybrid training system. Validation of the model is verified using the Bayesian Structural Equation Modeling. The findings state that Perceived usefulness and Course flexibility are factors which provide more positive effect on the course satisfaction. While Attitude toward e-learning, Computer anxiety, and Perceived interactions with others are factors which provide negative effect on the course satisfaction. Several suggestions based upon the results have been given.
关键词：e-learning; student satisfaction; Bayesian Structural Equation Modeling.