Employability, Lifelong Learning and Leadership Development: A Predictive Analysis of Career Readiness Outcomes

Bhoomika A.; Himani B. S.

doi:10.36948/ijfmr.2026.DePaul-2026.1902

Employability, Lifelong Learning and Leadership Development: A Predictive Analysis of Career Readiness Outcomes

Author(s)	Bhoomika A., Himani B. S.
Country	India
Abstract	The nexus between employability, lifelong learning (LL), and leadership development has emerged as a defining priority for organizations and individuals navigating rapid technological disruption and shifting labor market demands. This study examines the career readiness outcomes of 1,800 professionals across five primary learning modalities — formal education, online courses, workplace training, mentorship and coaching, and self-directed learning — using a structured dataset. Three machine learning models were applied to predict employability readiness: Logistic Regression, Gradient Boosting, and Random Forest. Logistic Regression achieved the highest performance, with an accuracy of 81.50% and a Macro-AUC of 0.924, while Gradient Boosting and Random Forest achieved accuracies of 76.25% and 75.83%, respectively — all surpassing the 70% benchmark. Feature importance analysis identified the Lifelong Learning Index, Leadership Program Hours, and Mentor Support Score as the most influential predictors of employability readiness. Inferential statistical analysis confirmed significant differences in readiness levels across learning mode groups (p < 0.001). Participants engaged in online courses and mentorship-based learning reported the highest average employability readiness scores (74.2 and 71.8, respectively) and the lowest burnout rates (4.82% and 3.94%). These findings suggest that passive or isolated learning modes are insufficient for building career resilience. Rather, organizations and policymakers must adopt integrated, active learning ecosystems that combine digital upskilling, mentorship, and structured leadership development to produce measurable improvements in workforce employability.
Keywords	Employability, Lifelong Learning, Leadership Development, Machine Learning, Career Readiness, Mentorship, Upskilling, Workforce Development
Published In	Conference / Special Issue (Volume 8 \| Issue 3) - Two-Day National Conference on “Women Led Development: Pathways to Inclusive, Sustainable, & Equitable Growth” (DePaul-2026) (May 2026)
Published On	2026-05-03
DOI	https://doi.org/10.36948/ijfmr.2026.DePaul-2026.1902

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Employability, Lifelong Learning and Leadership Development: A Predictive Analysis of Career Readiness Outcomes

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