James Heckman, PhD
Associate Professor, Physiology
Office: Old Medical School Room 223
Department of Physiology
My research is focused on the investigation of how best to help students with different learning styles optimize the way in which they learn physiology. Our goal is to not only improve retention of material but to increase the understanding of concepts, help students better apply the concepts, reduce the time required to learn, and make learning more enjoyable. Our approach is to investigate the effectiveness of the application of principles of educational psychology, such as field preference, to enhance learning. We have created specialized software, the Knowledge Assembler, that makes it possible to present physiology to students in multiple ways in order to accommodate their learning styles. Information is conveyed by using brief audio clips, static images, animations, and simulations. We have found that students in the health professions, medicine, dentistry, podiatry, and nursing differ in their learning styles. The Knowledge Assembler, because it is database driven, provides the means to collect information about how the students use the software and how they respond to questions which evaluate their knowledge of the physiology content.
Panitch HB, Talmaciu I, Heckman JL, Wolfson MR, Shaffer TH. Quantitative Bronchoscopic Assessment of Airway Collapsibility. Pediatric Research 43:1-8, 1998.
Heckman JL, Hoffman J, Shaffer TH, Wolfson MR. Software for Real-Time Control of a Tidal Liquid Ventilator: Biomedical Instrumentation and Technology, 33:268, 1999.
To be presented: