The Determinants of Adult Education and Training Participation in the US: A Machine Learning Approach

Author Information

Chang Sung Jang, University of Oklahoma Norman CampusFollow
Junghwa Choi, University of North Carolina at PembrokeFollow
Romit Maulik, Argonne National LaboratoryFollow
Doo Hun Lim, University of Oklahoma Norman CampusFollow

Submission Purpose

Main Conference

Type of Proposal

Paper: Empirical

Abstract

This study aims to explore the determinants of adult education and training (AET) participation of working adults. Through random forest analysis, we discovered important factors contributing to AET participation.

Keywords

adult education and training participation, working adults, machine learning, PIAAC

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Recommended Citation

Jang, C., Choi, J., Maulik, R., & Lim, D. (2022). The Determinants of Adult Education and Training Participation in the US: A Machine Learning Approach. Adult Education Research Conference. https://newprairiepress.org/aerc/2022/papers/23 test="theme.id eq '2020'>(conference cancelled)