Watch this free webinar presented by Meagan Rogers, Assistant Clinical Professor, University of Texas at Arlington by completing the form.
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.