The veterinary distance learning program at Purdue University: Factors associated with persistence and dropout

Nita W Glickman, Purdue University

Abstract

The purpose of this research project was to determine risk factors for dropout from the Veterinary Technology Distance Learning Program (VT-DLP) at Purdue University. High attrition rates have been a problem in the VT-DLP as they have been historically in distance education. Previous researchers have examined the issue of attrition in distance education from the perspective of tracing the interactions of characteristics and behaviors that lead students to either persist or drop out of higher education. Tinto's model was based upon students who attended classes in an institution of higher education. Kember sought to extend Tinto's model to distance education. Students enrolled in the VT-DLP at Purdue University and registered for VM 105 (Introduction to Veterinary Technology) between fall 2000 and fall 2002 were eligible to participate in this study. Subjects were asked to complete a pre-assessment survey at the beginning of the semester and a follow-up survey during the last month of the semester. Using the responses from these two web-based surveys, a path analysis model was developed to determine the direct and indirect effects on dropout from the VT-DLP. Marital status (being single), number of credits currently taking (1–2 credits vs. 3 or more credits), and a higher external attribution score (failure to successfully integrate study demands with family, social, and work obligations), were directly associated with an increased risk of dropout from the VT-DLP. A higher composite CMR (confidence, motivation, and relevance) score and a higher academic accommodation score (deep level approach to learning and increased intrinsic motivation) were directly associated with decreased risk of dropout from the VT-DLP. Lower computer competency scores and a lower score on the internal control index were indirectly associated with an increased risk of dropout from the VT-DLP. This model could be used to identify students who are at risk of dropout from the VT-DLP. Once identified, these students could be given increased support from instructors and other students, increased and timely feedback on assignments, increased assistance with email and other course software, and help in managing their time and developing strategies to integrate their study demands with their other responsibilities.

Degree

Ph.D.

Advisors

Lehman, Purdue University.

Subject Area

Educational software|Higher education

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