The Ethical Issues Around Learning Analytics
Learning technologies, especially those relying on data analytics, are exciting but also present ethical challenges that deserve our attention and action.
Director of Analytics for University Student Success Initatives at Ohio University, Loralyn works to bridge the gap between research-based best practices in student success and practical institutional application. Responsible for promoting best-practices in student success through the use of data analytics, behavioral science, innovative technologies and change management, Loralyn consults with diverse stakeholders from across the university’s 7 campuses to design student success systems that work for students, faculty and staff. Previously at Paul Smith’s College for 10 years, Loralyn helped design and implement the college’s highly successful Comprehensive Student Support Program, generating over $6 million in increased student revenue in five years, the PSC program includes proactive and reactive early alert strategies, the targeted use of data analytics and was the winner of the 2015 University Business Inaugural Models of Excellence Program, the 2013 Lee Noel, Randi Levitz Retention Excellence Award and the Starfish 360 Student Success Award.
Learning technologies, especially those relying on data analytics, are exciting but also present ethical challenges that deserve our attention and action.
We asked several leaders in the EDUCAUSE community where they currently stand on the use of predictive analytics for student success.
Loralyn Taylor is Director of Institutional Research and Registrar, and Virginia McAleese is Professor and Director, Academic Success Center, at Paul Smith’s College of Arts & Sciences.
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