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Updated: Jul 9, 2026

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
Library support for problem-based learning: an algorithmic approach
Nighat Ispahany1, Kathren Torraca, Marina Chilov
1Augustus C. Long Health Sciences Library, Columbia University, New York, NY 10032, USA. mz84@columbia.edu
Abstract:
Academic health sciences libraries can take various approaches to support the problem-based learning component of the curriculum. This article presents one such approach taken to integrate information navigation skills into the small group discussion part of the Pathophysiology course in the second year of the Dental school curriculum. Along with presenting general resources for the course, the Library Toolkit introduced an algorithmic approach to finding answers to sample clinical case questions. While elements of Evidence-Based Practice were introduced, the emphasis was on teaching students to navigate relevant resources and apply various database search techniques to find answers to the clinical problems presented.
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