Institutional Accountability and Outcome Transparency in Publicly Funded Learning Programs

Abstract

This study investigates how institutional accountability and outcome transparency can be measured in publicly funded learning programs. The study is designed to analyze approximately 80 publicly funded programs across cultural education, community learning, vocational enrichment, and lifelong learning sectors. Data sources include enrollment records, completion data, learner satisfaction surveys, teaching quality evaluations, budget reports, feedback records, and follow-up participation data. The dataset is expected to include around 18,000 learner records, 6,500 satisfaction survey responses, 1,200 teacher evaluation forms, and 80 institutional budget-performance reports. The study constructs an Outcome Transparency Index covering five dimensions: access equity, instructional quality, completion effectiveness, feedback responsiveness, and public value. Quantitative methods include entropy-weighted scoring, principal component analysis, data envelopment analysis, hierarchical regression, and structural equation modeling. The study also compares program performance across funding scale, institution type, learner background, and delivery mode. The innovation of this study lies in building a measurable accountability framework that connects public funding, learning outcomes, learner experience, and institutional reporting quality, rather than relying only on enrollment numbers or completion rates to judge program effectiveness