This project will co-design and test an AI-driven adaptive learning prototype to make online healthcare training more inclusive, accessible, and impactful for practitioners in diverse global contexts.
Overview
Primary Care International (PCI) delivers training for healthcare professionals working in diverse and often resource-constrained global settings. PCI faces a key challenge: how to adapt learning content to the varied needs of practitioners across cultures, languages, and clinical roles—without overwhelming learners. This project addresses that challenge by building a proof-of-concept adaptive AI learning model that is fit for purpose.
The project will develop and test an innovative approach to personalised digital learning. By combining OU’s expertise in inclusive, AI-enabled learning design with PCI’s real-world experience delivering training to frontline health workers in resource-limited settings, the project aims to create a prototype adaptive learning model. This collaboration will explore how online courses can be tailored to better reflect the diverse needs of healthcare practitioners globally —enhancing engagement, accessibility, and impact.
The role of IET
IET will lead the research and development aspects of this project, drawing on its expertise in AI for education, inclusive learning design, and generative AI innovations such as the SCRIBE tool. Specifically, IET will:
- Facilitate scoping and learning design workshops to establish requirements, learner personas, and adaptation strategies.
- Lead on co-developing the AI-driven prototype, focusing on how learner context can shape personalised experiences.
- Ensure that adaptation mechanisms are evidence-based, ethical, and accessible.
- Design and oversee the pilot evaluation, gathering data on feasibility, learner engagement, and impact.
Funders
- Knowledge Transfer Voucher (KTV)
Partners
- Primary Care International (PCI)