Ensuring Outcome-Based Curriculum Coherence through Systematic CLO-PLO Alignment and Feedback Loops

TL;DR

This paper introduces a quantitative framework for aligning course and program learning outcomes to improve curriculum coherence and facilitate continuous, evidence-based curriculum enhancement in outcome-based education.

Contribution

It presents a systematic, scalable model using mathematical tools to map and analyze assessment elements, CLOs, and PLOs for better curriculum alignment and quality assurance.

Findings

Identifies gaps in outcome coverage and misalignments.

Provides a practical, adaptable tool for curriculum improvement.

Enhances transparency and accountability in educational programs.

Abstract

This study proposes a quantitative framework to enhance curriculum coherence through the systematic alignment of Course Learning Outcomes (CLOs) and Program Learning Outcomes (PLOs), contributing to continuous improvement in outcome-based education. Grounded in accreditation standards such as ABET and NCAAA, the model introduces mathematical tools that map exercises, assessment questions, teaching units (TUs), and student assessment components (SACs) to CLOs and PLOs. This dual-layer approach-combining micro-level analysis of assessment elements with macro-level curriculum evaluation-enables detailed tracking of learning outcomes and helps identify misalignments between instructional delivery, assessment strategies, and program objectives. The framework incorporates alignment matrices, weighted relationships, and practical indicators to quantify coherence and evaluate course or program performance. Application of this model reveals gaps in outcome coverage and underscores the importance of realignment, especially when specific PLOs are underrepresented or CLOs are not adequately supported by assessments. The proposed model is practical, adaptable, and scalable, making it suitable for academic programs. Its systematic structure supports institutions in implementing evidence-based curriculum improvements and provides a reliable mechanism for aligning teaching practices with desired learning outcomes. Ultimately, this framework offers a valuable tool for closing the feedback loop between instructional design, assessment execution, and learning outcomes, thus promoting greater transparency, accountability, and educational effectiveness. Institutions that adopt this model can expect to strengthen their quality assurance processes and help ensure that students graduate with the competencies required by academic standards and professional expectations.