Dataset and AHP Model for Prioritising MOOC Renewal Decisions 2026

This dataset supports the study “Prioritising Course Renewal Decisions in MOOCs through the Analytic Hierarchy Process: A Stakeholder-Based Framework for Evidence-Informed Improvement.”It contains anonymised learner-feedback data, the Analytic Hierarchy Process (AHP) comparison matrices, and the spreadsheet template used to calculate criterion weights, consistency ratios, and prioritisation scores for course updates. The dataset illustrates how AHP can be applied in open and distance learning contexts to integrate learner analytics and instructor input for transparent, data-driven decision-making. All personal identifiers and institutional details have been removed to preserve confidentiality.