This study introduces a multi-criteria decision support system that combines K-medoids clustering and unweighted TOPSIS to objectively evaluate the impact of lifelong learning courses on citizens’ employability. The findings reveal a significant paradox where the most effective training programs are often the least demanded, providing policymakers with a data-driven framework to better align educational offers with labor market outcomes.
