Presented by Charles A Gullo, Associate Dean for Medical Education and Adjunct Associate Professor Biochemistry and Microbiology, Joan C Edwards School of Medicine
Large-stake national exams are here to stay. Students, administrators, and faculty are well aware of the importance of these exams and are keen to ensure successful outcomes. However, how and when to intervene with struggling students is certainly not universal. Furthermore, although data is collected, it is often not used to its full potential when predicting student outcomes on these exams. During this presentation, I will review some of the data-driven tools used in prediction analysis, present some of our initial data, and put forward a systematic process we have established to identify students at risk. I hope that by the end of this presentation, you will gain some insights that you and your program can use to better assist your students.
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