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Selling Student Success: A Critical Analysis of Predictive Analytics Vendors in Higher Education

As predictive analytics become increasingly embedded in higher education, commercial vendors offering these tools play a growing role in shaping institutional decision making, particularly through identifying students deemed “at risk.” In this qualitative study, we analyzed 161 publicly available materials from 15 vendors to examine these companies’ marketing of predictive analytics. Drawing on Snow and Benford’s (1988) framing theory, we investigated how they construct the problem of student success and how they position their products as solutions. Findings from our thematic analysis are: (1) vendors primarily frame the problem their products address as one of institutional finances; (2) vendors acknowledge structural barriers but rarely recognize students’ strengths; (3) proposed solutions to challenges to students’ success do not always align with problem framing. Although vendors frequently invoke equity-oriented language to position their tools as student-centered, our analysis reveals an emphasis on financial value for institutions and a limited engagement with students’ assets, ultimately narrowing pathways for supporting students’ success.

Keywords
Predictive Analytics, Community Cultural Wealth, Student Success, Student Success Outcomes
Education level
Document Object Identifier (DOI)
10.26300/dxjw-ps14
EdWorkingPaper suggested citation:
Vasquez, Catalina, Denisa Gandara, Zorayda Sánchez, and Sergio Nuñez. (). Selling Student Success: A Critical Analysis of Predictive Analytics Vendors in Higher Education. (EdWorkingPaper: -1349). Retrieved from Annenberg Institute at Brown University: https://doi.org/10.26300/dxjw-ps14

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