A Novel Performance Gaps Analysis and Objective-Setting Framework for Veterinary Students in a Workplace-Based...

Area of Science:

• Veterinary Education
• Outcomes-Based Education
• Medical Training

Background:

• Traditional student-led learning outcome setting often lacks consistency and alignment with professional competencies.
• There is a need for a more structured and data-informed approach to guide veterinary students in identifying and addressing knowledge and skill gaps.

Purpose of the Study:

• To implement and showcase an individualized learning outcome (LO)-setting framework at the University of Surrey School of Veterinary Medicine.
• To align student learning with the Royal College of Veterinary Surgeons (RCVS) Day One Competences.
• To provide a best practice model for outcomes-based education in veterinary medicine.

Main Methods:

• Utilized a framework based on individual performance data, including global assessments, oral examinations, skills logs, and personal reflections.
• Involved tutors in providing scaffolding and guidance for students to formulate meaningful and realistic LOs.
• Aligned the framework with the RCVS Day One Competences to ensure relevance and rigor.

Main Results:

• The framework empowers students to identify and address specific knowledge and skill gaps through a structured, data-informed process.
• It offers a more rigorous and tailored learning experience compared to traditional methods.
• Fosters greater engagement with clinical training and enhances readiness for professional practice.

Conclusions:

• The personalized, performance-informed learning framework significantly improves veterinary student preparation for clinical placements.
• Implementation requires careful consideration of staff workload, with proposed strategies like automation and virtual support for sustainability.
• Further research is encouraged to assess the long-term impact on student engagement and graduate outcomes.