Using Assessment Data to Predict and Increase Board Performance

August 13, 2015
Whether your program concludes with the NCLEX, USMLE Step 1, Praxis, or any other variation of a licensure or board exam, everyone wants to know the same thing: which of my students are going to fail their boards, and is there anything we can do about it? This webinar will discuss how programs can gather and extract data from the everyday low-stakes assessments your students are already taking, to identify which individuals are at-risk, and to help all students perform their absolute best on their board exams. Please join Eric Ermie, Director of Client Solutions with ExamSoft and former Program Manager for Assessment and Evaluation at The Ohio State University College of Medicine, as he illustrates real examples of using data to predict which students were at highest risk to fail their board exams. Mr. Ermie will also cover general principles for identifying and using data for board performance improvement. - See more at:
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