Using machine learning to predict student retention from socio-demographic characteristics and app-based engagement metrics

Abstract Student attrition poses a major challenge to academic institutions, funding bodies and students. With the rise of Big Data and predictive analytics, a growing body of work in higher education research has demonstrated the feasibility of predicting student dropout from readily available macr...

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Bibliographic Details
Main Authors: Sandra C. Matz, Christina S. Bukow, Heinrich Peters, Christine Deacons, Alice Dinu, Clemens Stachl
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-32484-w

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