Dataset for AI-assisted prioritisation of MOOC updates in a large-scale system

This dataset supports the study “How Educational Leaders Use AI-Driven Evidence to Prioritise MOOC Updates in Large-Scale Systems”. It contains an aggregated table of candidate course update actions derived from anonymised learner feedback and course engagement indicators from a national-scale MOOC. The dataset is used to support AI-assisted, budget-aware prioritisation of course updates for leadership decision-making. Raw learner responses are not included due to ethical and privacy considerations.