@inproceedings{1681b358a0a14e10b037e45e07aecfad,
title = "Integrating lean six sigma and data analytics to improve student retention",
abstract = "Higher education institutions are expected to deliver a high-quality education while competing for enrollment. Each institution has unique features that attract students to apply, but most share the same challenge of retaining students after enrollment. The challenge does not seem to have an ideal solution in most higher education institutions. This study integrates Lean Six Sigma and data analytics to establish a standardized process for improving student retention rates. Data sets pertaining to admission, enrollment, transfer and dropout were analyzed to identify opportunities for improving the retention rate. Descriptive and predictive analytics models were developed to find trends in the data and predict future retention outcomes. Finally, recommendations are made to help higher education institutions to better understand and improve student retention.",
author = "Joel Patterson and Esther Dagne and Carol Putman and Faisal Aqlan",
note = "Publisher Copyright: {\textcopyright} Proceedings of the 2020 IISE Annual. All Rights Reserved.; 2020 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2020 ; Conference date: 01-11-2020 Through 03-11-2020",
year = "2020",
language = "English (US)",
series = "Proceedings of the 2020 IISE Annual Conference",
publisher = "Institute of Industrial and Systems Engineers, IISE",
pages = "849--854",
editor = "L. Cromarty and R. Shirwaiker and P. Wang",
booktitle = "Proceedings of the 2020 IISE Annual Conference",
}