An application of Bayesian inference to examine student retention and attrition in the STEM classroom

An application of Bayesian inference to examine student retention and attrition in the STEM classroom

IntroductionAs artificial intelligence (AI) technology becomes more widespread in the classroom environment, educators have relied on data-driven machine learning (ML) techniques and statistical frameworks to derive insights into student performance patterns. Bayesian methodologies have emerged as a...

Full description

Bibliographic Details
Main Authors: Roberto Bertolini, Stephen J. Finch, Ross H. Nehm
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Education
Subjects:
Bayesian methods
retention and attrition
learning management system
concept inventory
machine learning
STEM education
Online Access:https://www.frontiersin.org/articles/10.3389/feduc.2023.1073829/full

Internet

https://www.frontiersin.org/articles/10.3389/feduc.2023.1073829/full

Similar Items