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.
| Mualliflar | Muminova , Makhbuba, Qodirova , Muslimabegim, Муминова , Махбуба, Кадирова , Муслимабегим, Muminova , Makhbuba, Qodirova , Muslimabegim |
|---|---|
| Jurnal | Иқтисодий тараққиёт ва таҳлил |
| Nashr sanasi | 2025-12-29 |
| Jild | 3 |
| Son | 12 |
| Betlar | 179-185 |
| Til | O‘zbek |
| DOI | 10.60078/2992-877x-2025-vol3-iss12-pp179-185 |
DOI: 10.60078/2992-877x-2025-vol3-iss12-pp179-185 · Maqolaning asl sahifasi
distance learning, employment, machine learning, skill acquisition, labor market outcomes, дистанционное обучение, трудоустройство, машинное обучение, приобретение навыков, результаты на рынке труда, masofaviy ta’lim, bandlik, mashinaviy o‘rganish, ko‘nikmalarni egallash, mehnat bozori natijalari
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