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ERIC Number: EJ1155143
Record Type: Journal
Publication Date: 2017
Pages: 18
Abstractor: As Provided
ISSN: ISSN-1539-3100
Persistence in Distance Education: A Study Case Using Bayesian Network to Understand Retention
Eliasquevici, Marianne Kogut; da Rocha Seruffo, Marcos César; Resque, Sônia Nazaré Fernandes
International Journal of Distance Education Technologies, v15 n4 Article 4 p61-78 2017
This article presents a study on the variables promoting student retention in distance undergraduate courses at Federal University of Pará, aiming to help school managers minimize student attrition and maximize retention until graduation. The theoretical background is based on Rovai's Composite Model and the methodological approach is conditional probability analysis using the Bayesian Networks graphical model. Network modeling has shown that among internal factors after admission to the course (as defined in the Composite Model) face-to-face tutorial sessions need to be better planned and executed, learning materials are still not adequate to online course specificities and the support structure needs to be remodeled.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Brazil
Grant or Contract Numbers: N/A