Medicine and Health Sciences Commons^™

Body And Disease 2008: An Integrated Course Teaching Pathology, Pharmacology, Immunology And Microbiology, Janil Puthucheary, Doyle Graham, Charles A. Gullo Phd, Hwang Nina Chih, Lynette Oon, Tan Soo Yong, Sandy Cook

Charles Gullo

The Duke-NUS Graduate Medical School Singapore (Duke-NUS) Body and Disease course is a 20-week, integrated course occurring at the end of the first year. The course covers four basic science topics: Pathology, Pharmacology, Immunology, and Microbiology and is modelled after the same course from the Duke University School of Medicine (DSOM) in Durham, North Carolina, USA. The structure of the course, as delivered by DSOM, was adapted to meet the needs and structure of the Duke-NUS programme. In addition, the course was adapted significantly to incorporate the Team-Based Learning methodology. In this paper, we detail how we approached these unique …

Acquisition Of Medical Immunology Knowledge: A Preliminary Study Of The Knowledge Structures Of Medical Students, Charles A. Gullo Phd

Charles Gullo

Medical students from both Duke-NUS and NUS participated in a study that attempted to assess their knowledge structure in the medical immunology domain. Students had to perform a sorting task with a list of concepts derived from immunology experts. We collected demographic information as well as sorting data and the diversity of the sorts are presented in this article.

The Future Is In The Numbers: The Power Of Predictive Analysis In The Biomedical Educational Environment, Charles A. Gullo Phd

Charles Gullo

Biomedical programs have a potential treasure trove of data they can mine to assist admissions committees in identification of students who are likely to do well and help educational committees in the identification of students who are likely to do poorly on standardized national exams and who may need remediation. In this article, we provide a step-by-step approach that schools can utilize to generate data that are useful when predicting the future performance of current students in any given program. We discuss the use of linear regression analysis as the means of generating that data and highlight some of the …

Predicting Medical Student Success On Licensure Exams, Charles A. Gullo, Michael J. Mccarthy, Joseph I. Shapiro, Bobby L. Miller

Charles Gullo

Many schools seek to predict performance on national exams required for medical school graduation using prematriculation and medical school performance data. The need for targeted intervention strategies for at-risk students has led much of this interest. Assumptions that preadmission data and high stakes in-house medical exams correlate strongly with national standardized exam performance needs to be examined. Looking at prematriculation data for predicting USMLE Step 1 performance, we found that MCAT exam totals and math-science GPA had the best prediction from a set of prematriculation values (adjusted R 2 = 11.7 %) for step 1. The addition of scores from …

Twelve Tips For Facilitating Team-Based Learning, Charles Gullo, Tam Ha, Sandy Cook

Charles Gullo

Background: Team-based learning (TBL) has become a more commonly recognized and implemented pedagogical approach in curricula of numerous disciplines. The desire to place more autonomy on the student and spend less in-class time delivering content has resulted in complete or partial adoption of this style of learning in many educational settings.

Aim: Provide faculty with tools that foster a well facilitated and interactive TBL learning environment.

Methods: We examined the published literature in the area of facilitation – specifically in TBL environments, and explored learning theories associated with team learning and our own experiences to create these facilitation tips.

Results: …