Abstract
Objective. This study determined the factors affecting the academic success of students receiving distance education and examines the relationships between these factors. As a result of the factor analysis, the relationships between the variables of motivation, personal development and basic computer usage that were separated into groups were tested using the structural equation modeling. Methods. A 5 point likert scale that was prepared according to expert opinion was applied to the sample group consisting of students receiving associate degree education at Kirikkale University Distance Education Center (KUZEM). The study hypothesis presented a relationship between the variables of motivation, personal development and basic computer usage that were asserted to have an effect upon the student success. The hypothesis test was performed using the structural equation modeling. Findings. This part involves the results of the structural equation modeling that tested the reliability analysis, factor analysis and the study hypothesis. Results. (1) Variables in the variable group involving questions aimed at students in the process of education like “have you received distance education?”, “are efficient materials being used” and “what is your level of using the presentation program”, (2) Among the variable groups whose effects upon the student success were examined, there is a two-sided and significant relationship between the motivation and the personal development level, (3) There is no significant relationship between the basic computer usage and the personal development.
Highlights
Scientists have defined the concept of learning in similar ways
According to the standardized regression coefficients, each latent variable determines the effect levels of variables affecting them. These results show that K1 is the variable with the highest effect upon personal development, M4 upon motivation and B2 upon basic computer usage
And Discussion In this study, the hypothesis H1 that is asserted to affect the student success was analyzed via the method of structural equation modeling
Summary
Scientists have defined the concept of learning in similar ways. Learning is a change of thoughts, perceptions and behaviors caused by the interaction of individuals with the environment (Morgan, 1993). In other words, learning contains behavioral changes that are caused by life activities and continue lifelong (Özden, 2002). Being an efficient process that is performed in an audial, visual or a practical way; learning has become even more important today due to its continuity. Because one of the most important functions being required by our era is lifelong learning. Educational activities could formally be provided at educational institutions; the developing technology enables us to realize the function of teaching via various teaching methods (Kör, H. et al 2013)
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