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Introducing a data-driven learning progress dashboard for programmatic assessment
Olivia Ng1, Zheng-Wei Lee1, Dong Haur Phua1,2
1Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Medical Teacher
|April 9, 2025
Summary
Programmatic Assessment (PA) uses varied data for student feedback. The Learning Progress Dashboard (LPD) was created to manage complex assessment data, improving learning strategies for medical students.
Area of Science:
- Medical Education
- Health Professions Education
- Educational Technology
Background:
- Programmatic Assessment (PA) integrates diverse data for holistic student feedback.
- Challenges in PA include data complexity and volume, hindering efficient tracking and interpretation.
- Effective implementation of PA principles requires robust data management solutions.
Purpose of the Study:
- To develop and implement a technological solution to address challenges in Programmatic Assessment.
- To create the Learning Progress Dashboard (LPD) for medical students to facilitate data-informed learning strategies.
- To enhance the integration and interpretation of assessment data for improved student learning outcomes.
Main Methods:
- Developed a user-centric, technology-enhanced solution: the Learning Progress Dashboard (LPD).
- Integrated previously siloed data systems into a unified infrastructure.
- Designed tailored interfaces for both students and faculty.
Main Results:
- The LPD successfully integrated diverse assessment data sources.
- Tailored interfaces provided students and faculty with accessible, interpretable data.
- Facilitated data-informed learning strategies and holistic feedback.
Conclusions:
- Breaking down data silos is crucial for effective Programmatic Assessment.
- Interdisciplinary collaboration and gradual change management are key to successful implementation.
- The LPD offers a scalable model for managing complex assessment data in medical education.
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