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