Why Competency-Based Continuing Education Has Not Scaled:A Structural Analysis of Adoption Barriers in Accredited CE
DOI:
https://doi.org/10.17161/cberj.v3no10.25277Keywords:
competency-based education, continuing education, contact hours, outcomes-based CE, accreditation, implementation barriers, structural determinants, time-based credit, artificial intelligenceAbstract
Competency-based education (CBE) has gained traction in higher education, yet adoption in continuing education (CE) for licensed health professionals remains limited despite sustained advocacy. The factors driving this gap have not been systematically quantified. This analysis asks whether the limited adoption of outcomes-based CE (OB-CE) at provider scale reflects structural constraints rather than provider resistance, specifically whether statutory time-based credit requirements create a barrier that advocacy cannot overcome. It further asks whether OB-CE’s human verification model presents a workforce demand incompatible with accredited CE at scale. Publicly available accreditation data were used to classify 443 American Nurses Credentialing Center (ANCC) providers and 187 Joint Accreditation providers by type. Each category was assessed for the likelihood that learners are subject to statutory time-based credit requirements as a condition of license renewal. An estimated 85–90% of providers in both datasets serve learner populations with statutory time-based credit requirements. Providers in these categories cannot decouple from time-based credit without eliminating the utility of their services. At the ecosystem level, implementing OB-CE’s required human verification for 15.5 million learners would require approximately 3,886 dedicated full-time nurse planners, positions that do not exist. Competency-based CE frameworks that require full decoupling from time face a structural adoption ceiling set by statute, not by provider willingness. Bridging approaches that integrate competency verification within existing time-based infrastructure may offer a more viable path to scaled adoption.
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