The global health community has long grappled with the challenge of providing effective, scalable training to health workers, particularly in resource-constrained settings. In recent years, digital learning platforms have emerged as a potential solution, promising to deliver accessible, engaging, and impactful training at scale. Imagine a digital platform intended to train health workers at scale. Their theory of change rests on a few key assumptions: On the surface, this seems sensible. Mobile optimization recognizes health workers’ technological realities. Multimedia content seems more engaging than pure text. Assessments appear to verify learning. Incentives promise to drive uptake. Scale feels synonymous with success. While well-intentioned, such a platform risks falling into the trap of a behaviorist learning agenda. This is an approach that, despite its prevalence, is a pedagogical dead-end with limited potential for driving meaningful, sustained improvements in health worker performance and health outcomes. It is a paradigm that views learners …
