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ERIC Number: ED656076
Record Type: Non-Journal
Publication Date: 2023
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-2155-7535
EISSN: N/A
Available Date: N/A
Predictive Analytics in Higher Education: The Promises and Challenges of Using Machine Learning to Improve Student Success. The AIR Professional File, Fall 2023. Article 161
Kelli Bird
Association for Institutional Research
Colleges are increasingly turning to predictive analytics to identify "at-risk" students in order to target additional supports. While recent research demonstrates that the types of prediction models in use are reasonably accurate at identifying students who will eventually succeed or not, there are several other considerations for the successful and sustained implementation of these strategies. In this article, I discuss the potential challenges to using risk modeling in higher education and suggest next steps for research and practice.
Association for Institutional Research. 1435 East Piedmont Drive Suite 211, Tallahassee, FL 32308. Tel: 850-385-4155; Fax: 850-383-5180; e-mail: air@airweb.org; Web site: http://www.airweb.org
Publication Type: Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: American Institutes for Research (AIR)
Grant or Contract Numbers: N/A
Author Affiliations: N/A