Minimising Attrition: Strategies for Assisting Students Who Are at Risk of Withdrawal

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Bibliographic Details
Title: Minimising Attrition: Strategies for Assisting Students Who Are at Risk of Withdrawal
Language: English
Authors: Park, Caroline L., Perry, Beth, Edwards, Margaret
Source: Innovations in Education and Teaching International. Feb 2011 48(1):37-47.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Physical Description: PDF
Page Count: 11
Publication Date: 2011
Document Type: Journal Articles
Reports - Evaluative
Education Level: Higher Education
Descriptors: Graduate Students, Distance Education, Academic Persistence, At Risk Students, Withdrawal (Education), Allied Health Occupations Education, Models, Online Courses, Educational Strategies, Academic Achievement, Universities
DOI: 10.1080/14703297.2010.543769
ISSN: 1470-3297
Abstract: This paper explores strategies aimed at minimising attrition by encouraging persistence among online graduate students who are considering withdrawal. It builds upon earlier studies conducted by a team of researchers who teach online graduate students in health care at Athabasca University. First, in 2008-2009, Park, Boman, Care, Edwards, and Perry reviewed assumptions held related to attrition of online learners and defined key terms such as persistence and attrition. Next, Perry, Boman, Care, Edwards, and Park explored factors that influenced online students' decisions to withdraw. Reported in this paper are strategies related to course design, course delivery, and programme organisation that could reduce attrition rates. An additional section of the paper focuses on strategies to ease the re-integration of students who have withdrawn and subsequently want to return to their studies. Rovai's Composite Persistence Model and Harter and Szurminski's Project Assuring Student Success (PASS) programme are used as a framework for analysis and for generation of recommended strategies. (Contains 1 figure.)
Abstractor: As Provided
Number of References: 18
Entry Date: 2011
Accession Number: EJ917698
Database: ERIC
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