This Dataverse hosts curated data from the Enhancing Pediatric Acute Care Through AI-driven Adaptive Learning and In-Person Skills Practice in Tanzania trial (NCT06635733), a cluster-RCT funded by the NIH (R21TW012612-01A1). Conducted at four health centers in Mwanza Region, the study integrates AI-based adaptive learning and structured in-person skills practice (ISP) to improve pediatric provider performance. This repository contains REDCap-derived engagement and mastery data, usability and workforce surveys, ISP error scoring, qualitative interviews, and study instruments. Data access is governed by CUHAS/NIMR via a Data Use Agreement.
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