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.
HealthApril 11, 2019
Social justice and nursing: What’s it all about?
Watch this free webinar presented by Donna Sabella, MEd, MSN, PhD, RN, PMHNP-BC Seedworks Endowed Associate Professor, College of Nursing and Social Justice University of Massachusetts Amherst by completing the form.
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Lippincott Nursing Education
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