Navegando por Palavras-chave "success in distance education"

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    Sucesso e evasão em cursos de especialização a distância na área da saúde da UNIFESP
    (Universidade Federal de São Paulo (UNIFESP), 2014-06-30) Garbe, Gisele Grinevicius [UNIFESP]; Sigulem, Daniel Sigulem [UNIFESP]; Universidade Federal de São Paulo (UNIFESP)
    Objective: Investigate factors associated with adoption (success) of students in the specialization courses in Nursing Management, Prenatal Care, Health and Indigenous and in Health Management, offered in distance education mode from the Federal University of São Paulo at Open University System of Brazil. Methods: After the closure of the four courses of specialization defined for the study, we applied an instrument specially developed for this study, to investigate the following members to the success of students in courses factors: experience, interest, relevance to professional activity, organization, satisfaction and adequacy. We also investigated the participation factor in travel, measured by collecting information on the course management environments. The information of the 439 students who answered the survey were subjected to statistical analysis for the association of factors to the success of students in the courses could be evaluated. Analyses were performed separately for each course and also for all four strokes. Results: The organization factor was a predictor of success in both the analysis of the four courses together as each course separately. In the analysis of the set of four courses the factors experience and the course offered in distance mode category were also predictors of success, reducing and increasing the chance of approval respectively. In the course Management in Nursing, beyond the organization, the experience proved predictive factor increasing the chance of success and the relevance factor was a predictor reducing the chance of this outcome. In the course of Indigenous Health, besides organizing the adequacy factor was a predictor of success. In analyzes seeking association between factors and success was not considered the participation factor in the course because it showed divergent parameters. Conclusions: A statistical model for the prediction of success was developed and among the covariates studied predictors of student success have been identified in the set of four courses and each separately.