Example of Proper Abstract Formatting - Research Abstract

Paired basic science and clinical problem-based learning faculty teaching side by side: do students evaluate them differently?

John Dewey1 and Abraham Flexner2*,  1Columbia University, New York, NY 10027 U.S.A., 2Princeton University, Princeton NJ, 08544 U.S.A.  

Purpose
In problem-based learning performance differences between basic science (BS) and clinical (CL) facilitators is not well studied. In a PBL course at our university pairs of faculty facilitators (one clinician, one basic scientist) were assigned to student groups to maximize integration of basic and clinical science. This study asks: do students evaluate basic science and clinical faculty differently when they teach side by side?

Methods
Online questionnaires were used to survey 188 students about their faculty facilitators immediately after they completed each of three serial PBL cases. Overall satisfaction was measured using a 1-7 scale, and yes/no responses were gathered from closed questions describing faculty performance.

Results
First year students rated basic science and clinical facilitators the same, but second year students rated the clinicians higher overall. First year students rated basic scientists higher in their ability to understand the limits of their own knowledge. Second year students rated the clinicians higher in several content expertise-linked areas: preparedness, promotion of in-depth understanding, and ability to focus the group, and down-rated the basic scientists for demonstrating over-specialized knowledge. Students’ overall ratings of individual faculty best correlated with the qualities of  stimulation, focus, and preparedness, but not with overspecialization, excessive interjection of his/her opinions, and encouragement of psychosocial issue discussion.

Conclusion
When taught by paired BS and CL PBL facilitators, students in year one rate basic science and clinical PBL faculty equally, while second year rate clinicians more highly overall. The second year difference may be explained by perceived differences in content expertise.