Presented by: Donna Sabella, M.Ed, MSN, PhD, RN, PMHNP-BC Seedworks Endowed Associate Professor, College of Nursing and Social Justice University of Massachusetts Amherst
April 11, 2019
The use of machine learning and predictive analytics brings great promise for the future of education, but it is not a panacea. Data can guide our understanding of learner behavior and learning outcomes as well as assist in personalizing instruction to meet individual needs of learners. Nurse educators have a legal and ethical imperative to ensure appropriate use of student data and predictor exam scores. In this session, we will discuss how a data-driven approach can inform programmatic policy and the perils and pitfalls of predictive analytics.