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Student progress decision-making in programmatic assessment: can we extrapolate from clinical decision-making and
1Department of Medicine, University of Otago Wellington, Wellington, New Zealand. mike.tweed@otago.ac.nz.
Robust student progression decisions require aggregating data from multiple sources, drawing parallels with clinical and jury decision-making to mitigate bias and ensure fairness. This approach enhances the reliability of educational assessments.
Area of Science:
- Medical Education
- Assessment and Evaluation
- Decision Science
Background:
- Limited literature exists on aggregating assessment data for student progression decisions.
- Programmatic assessment necessitates robust aggregation of information from diverse sources.
- Progression decision-making shares challenges with clinical and jury decision-making.
Purpose of the Study:
- To explore parallels between clinical decision-making and student progression decision-making.
- To identify strategies for robust information aggregation in educational progression decisions.
- To address biases and improve the quality of high-stakes educational decisions.
Main Methods:
- Drawing analogies from clinical decision-making, including sensitivity and specificity.
- Examining group decision-making processes, similar to jury deliberations.
- Analyzing biases inherent in decision-making and group dynamics.
Main Results:
- Clinical decision-making frameworks can inform educational progression decisions.
- Group decision-making, with effective leadership, can improve robustness.
- Biases in decision-making are a significant concern in both fields.
- The 'failure to fail' phenomenon parallels jury leniency.
Conclusions:
- Progression decisions should be made by selected panels with clear policies and documentation.
- Panels require sufficient information and training to optimize synthesis and reduce bias.
- Consensus-based decisions and a high standard of proof (demonstrated student competence) are recommended.
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