ERIC Number: ED590742
Record Type: Non-Journal
Publication Date: 2018-Sep
Pages: 38
Abstractor: ERIC
ISBN: N/A
ISSN: N/A
EISSN: N/A
Available Date: N/A
Choosing a Predictive Analytics Vendor: A Guide for Colleges
Palmer, Iris
New America
Colleges are increasingly using models to predict student behavior and intervene to change that behavior. Because of this, when projects involve partnering with a vendor, it is more important than ever to make the right choice about which vendor. In some ways, partnering with a vendor to use predictive analytics is similar to procuring any other technology product. But the complexity of the algorithms--and the predictions they produce--add another layer to the decision-making process. This guide gives administrators the tools to ask the right set of questions of predictive analytics vendors and provides a sense of what kind of answers they should expect. It focuses on ensuring that vendors use predictive analytics tools like early alert systems in an ethical manner.
Descriptors: Prediction, Vendors, Administrators, Guides, Colleges, Partnerships in Education, Models, At Risk Students, Higher Education
New America. 740 15th Street NW Suite 900, Washington, DC 20005. Tel: 202-986-2700; Fax: 202-986-3696; Web site: https://www.newamerica.org
Publication Type: Guides - Non-Classroom
Education Level: Higher Education; Postsecondary Education
Audience: Administrators
Language: English
Sponsor: Kresge Foundation; Bill and Melinda Gates Foundation
Authoring Institution: New America
Grant or Contract Numbers: N/A
Author Affiliations: N/A