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A Scalable Advising Model for Part-Time, Distant Learners in Graduate Health Professions Education Programs
Implementing TOTAL Advising, a faculty-led academic support model, significantly improved graduate health professions education learner success and retention. This evidence-based approach empowers learners and fosters community, leading to high graduation rates.
Area of Science:
- Health Professions Education
- Academic Advising
- Adult Learning
Background:
- Graduate health professions education (HPE) programs face challenges supporting diverse learners, including working adults, part-time students, and remote learners.
- Advisors often lack formal training and manage competing priorities, impacting the crucial advisor-advisee relationship.
- A lack of standardized, evidence-based advising practices necessitates independent program navigation.
Purpose of the Study:
- To describe the implementation and outcomes of the TOTAL Advising model in a graduate HPE program.
- To evaluate the effectiveness of a structured advising framework designed to support adult learners in HPE.
- To provide a model for improving advising practices and learner success in graduate HPE.
Main Methods:
- The Department of Health Professions Education established a dedicated advising cadre (n=7) utilizing the TOTAL Advising model.
- The TOTAL Advising model incorporates five key practices: train advisors, onboard learners, frequent check-ins, annual reviews, and learner reviews.
- Learner experiences were assessed through post-graduation interviews (n=21), and program outcomes were tracked from May 2018 to May 2024.
Main Results:
- Learner interviews revealed themes aligning with the program's guiding beliefs: learner capability, community, and clear communication.
- The program achieved a 99% graduation rate (568/574 learners) between May 2018 and May 2024.
- Only 1% (6 learners) were disenrolled during the study period, indicating high retention.
Conclusions:
- The TOTAL Advising model provides a successful framework for supporting graduate HPE learners, particularly adult and remote students.
- The model's emphasis on advisor training, structured support, and clear communication contributes to high learner engagement and program completion.
- Future steps include evaluating advisor training effectiveness and disseminating best practices to the broader HPE community.
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