A Comprehensive Platform for Enhancing the Achievement of Program Learning Outcomes and Advancing Academic Quality Assurance

Abstract

This article presents EVALLOS, a comprehensive platform for assessing the achievement of Program Learning Outcomes (PLOs) and supporting academic quality assurance in higher education. The platform implements a multi-level learning analytics workflow that maps assessment items to Course Learning Outcomes (CLOs), aggregates CLO results across classes and courses, and computes program-level PLO attainment indicators. Bloom-based rubrics are employed to capture both lower-order and higher-order cognitive skills, while a CLO-PLO alignment matrix enables systematic aggregation of course results to the program level. This study focuses on the design and operationalization of accreditation-oriented indicators that support evidence-based quality assurance and continuous improvement in alignment with international frameworks such as ABET, AUN-QA, and FIBAA. The system was deployed in a Vietnamese university, where the results indicate improved transparency in outcome evaluation and more focused curriculum improvement actions driven by program-level analytics and stakeholder feedback.