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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Learner satisfaction for a hybrid course in probability

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Author Amir T. Payandeh Najafabadi, Maryam Omidi Najafabadi
ISSN 2079-8407
On Pages 30-36
Volume No. 2
Issue No. 1
Issue Date January 01, 2011
Publishing Date January 01, 2011
Keywords e-learning; student satisfaction; Bayesian Structural Equation Modeling.


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. 


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