THE RELATIONSHIP BETWEEN DISTANCE LEARNING AND EMPLOYMENT: ANALYSIS BASED ON MACHINE LEARNING AND LOGIT/PROBIT MODELS
DOI:
https://doi.org/10.60078/2992-877X-2025-vol3-iss12-pp179-185Abstract
This study uses machine learning algorithms in conjunction with logit and probit regression models applied to 8,542 survey respondents to investigate the effects of distance learning participation on employment outcomes. According to our research, participants in distance learning programs have a 23.7% greater chance of finding employment than non-participants; this effect is mediated by acquired technical skills and flexible work schedules. The findings imply that distance learning serves as a major route to labor market integration, especially for underprivileged groups, with significant ramifications for workforce development plans and educational policy.
Keywords:
distance learning employment machine learning skill acquisition labor market outcomesReferences
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