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Video-based peer assessment of collaborative teamwork in a large-scale interprofessional learning activity.
Chris Roberts1, Christine Jorm2, Gillian Nisbet3
1Division of Medicine, School of Medicine and Population Health, The University of Sheffield, Sheffield, UK. chris.roberts@sheffield.ac.uk.
Peer assessment of student videos in Interprofessional Learning (IPL) is valid for evaluating team performance. Refinements in rubrics and training can improve reliability by addressing assessor subjectivity and stringency.
Area of Science:
- Health Professions Education
- Collaborative Learning
- Team Performance Assessment
Background:
- Assessing team performance in large-scale Interprofessional Learning (IPL) is crucial but underexplored.
- Valid assessment methods are needed to demonstrate collaborative learning effectiveness for professional practice.
- This study investigates the validity of peer assessment of student-created videos in IPL.
Purpose of the Study:
- To assess the validity of peer assessment of student videos for team performance in IPL.
- To identify sources of error in peer assessment to optimize future assessments.
- To determine if peer assessment is a valid tool for decision-making in large-scale IPL.
Main Methods:
- 1218 health professional students in 8 professions formed teams of 5-6.
- Teams created videos of managing complex patient cases.
- Peer assessment of videos was conducted using a developed scale, followed by generalizability and decision studies.
Main Results:
- Peer assessment of collaborative teamwork was reliable (G=0.71) with 10-12 student raters per video.
- Main error sources were assessor stringency and subjectivity; profession did not influence marking.
- Team performance was consistent across cases, with no profession-specific marking differences.
Conclusions:
- Video-based peer assessment in IPL is valid for evaluating student team performance.
- Refining rubrics and assessor training can mitigate subjectivity.
- Further research is needed on profession-specific impacts and case-specific performance in IPL.
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