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Circular Economy Competence in Engineering Education: A Neural Network-Structural Equation Modeling of Pedagogy and Digital Mediation

Year: 2026

Type: conference-paper

Abstract: The competency in Circular Economy (CE) has gained significance in engineering education, however its development is inconsistent among higher education institutions. This study established and validated an evidence-based pedagogical framework to enhance CE competencies in engineering programs in the Philippines. Data from engineering students and faculty were analyzed using a quantitative multiphase approach, employing descriptive statistics, multiple regression, artificial neural networks, and structural equation modeling. The findings indicated that transformative pedagogical approaches and AI-enabled digital learning environments were the most significant predictors of CE competency development, while institutional reputation-related factors were comparatively less influential. The results revealed the Inclusive AI-enabled Transformative Circular Economy Pedagogical framework to facilitate curricular alignment, digital integration, and outcomesbased quality improvement in engineering education.

Source: International Conference on Distance Education and Learning (ICDEL)

DOI: 10.1109/icdel70250.2026.11663795

Authors: Dante L. Silva, Kevin Lawrence M. De Jesus, Jimmy G. Catanes, Nenita B. Nagarit, Crispin S. Lictaoa, Meriam P. Leopoldo, Jordan N. Velasco, Godofredo M. Mendoza

Institutions: Mapúa University, FEU Institute of Technology, Commission on Higher Education, Adamson University, Mapúa Malayan Colleges Mindanao, Pamantasan ng Lungsod ng Valenzuela, National University

Language: English

Topic: Sustainability in Higher Education

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDGs: Quality education, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W7204770004

FWCI:

Cites: 24

Cited by:

Related to: 10