Abstract
In medical education, crafting high-quality Problem-Based Learning (PBL) scenarios is essential yet time-consuming, often relying on the collaboration of busy academics and clinicians (Wood, 2003). At Ulster University’s School of Medicine, we explored how Artificial Intelligence (AI) can support this process, trialling ChatGPT to develop a PBL case on cerebral haemorrhage (Abouzeid & Harris, 2023). This blog draws on our experiences, as presented in "Insights Gained from Using AI to Produce Cases for Problem-Based Learning" (Abouzeid & Harris, 2025). My motivation stemmed from the dual challenges of time constraints and the growing demand for up-to-date, realistic cases. This post shares how AI transformed our approach, offering insights for educators seeking to harness technology without compromising educational quality.
| Original language | English |
|---|---|
| Type | Blog |
| Media of output | Text |
| Publication status | Published (in print/issue) - 17 Jun 2025 |
Funding
none applicable
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 4 Quality Education
Keywords
- Artificial Intelligence
- Problem-Based Learning
- Medical Education
- ChatGPT
- Case Writing
- Curriculum Innovation
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Insights Gained from Using AI to Produce Cases for Problem-Based Learning †
Abouzeid, E. & Harris, P., 27 Feb 2025, In: Proceedings. 114, 1, p. 1-14 14 p., 5.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile109 Downloads (Pure) -
Using AI to produce problem-based learning cases
Abouzeid, E. & Harris, P., 30 Nov 2023, In: Medical Education. 57, 11, p. 1154-1155 2 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)64 Downloads (Pure)
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