Digital Transformation of the Continuing Professional Education System as a Tool for Enhancing Human Capital Efficiency

In the context of economic digital transformation, the effective development of human capital becomes a strategic priority for structural modernization. One of the key mechanisms for updating professional competencies and increasing labor productivity is the system of continuing professional education (CPE). This article explores the theoretical and economic foundations of CPE as a tool for the flexible adaptation of the workforce to changes in the technological paradigm. Particular attention is paid to the issue of insufficient personalization of learning trajectories, which leads to dropout and reduces the return on investment in education. As a solution, the study considers the use of digital footprints and Predictive Student Guidance Technologies (PSGT) for the dynamic adjustment of individual learning paths. Drawing on global practices and theoretical insights, the article proposes a conceptual model of a digital CPE ecosystem aimed at enhancing the efficiency of human capital development. The research takes an interdisciplinary approach, integrating economic theory and digital educational technologies.