Making Sense of Student Success and Risk Through Unsupervised Machine Learning and Interactive Storytelling

This paper presents an interactive AI system to enable academic advisors and program leadership to understand the patterns of behavior related to student success and risk using data collected from institutional databases. We have worked closely with advisors in our development of an innovative tempo...

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Detalles Bibliográficos
Autores principales: Al-Doulat, Ahmad, Nur, Nasheen, Karduni, Alireza, Benedict, Aileen, Al-Hossami, Erfan, Maher, Mary Lou, Dou, Wenwen, Dorodchi, Mohsen, Niu, Xi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334148/
http://dx.doi.org/10.1007/978-3-030-52237-7_1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334148/
http://dx.doi.org/10.1007/978-3-030-52237-7_1

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