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

2026 International Conference on Distance Education and Learning (ICDEL), (2026), pp. 429-433

Dante L. Silva a , Kevin Lawrence M. De Jesus b , Jimmy G. Catanes c , Nenita B. Nagarit d , Crispin S. Lictaoa e , Meriam P. Leopoldo f , Jordan N. Velasco g , Godofredo M. Mendoza h

a School of Civil, Environmental, and Geological Engineering, Mapua University, Manila, Philippines

b Department of Civil Engineering, FEU Institute of Technology, Manila, Philippines

c Commission on Higher Education, Philippines, Manila, Philippines

d Philippine Association of Colleges and University Commission on Accreditation, Manila, Philippines

e Civil Engineering Department, Adamson University, Manila, Philippines

f College of Engineering and Architecture, Mapúa Malayan Colleges Mindanao, Davao City, Philippines

g College of Engineering and Information Technology, Pamantasan ng Lungsod ng Valenzuelaa, Valenzuela City, Philippines

h College of Engineering, National University, Philippines, Manila, Philippines

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.

Recommended Citation

Silva, D. L., Jesus, K. L. M. D., Catanes, J. G., Nagarit, N. B., Lictaoa, C. S., Leopoldo, M. P., Velasco, J. N., & Mendoza, G. M. (2026). Circular Economy Competence in Engineering Education: A Neural Network-Structural Equation Modeling of Pedagogy and Digital Mediation. 2026 International Conference on Distance Education and Learning (ICDEL), 429-433. https://doi.org/10.1109/ICDEL70250.2026.11663795
D. L. Silva, K. L. M. D. Jesus, J. G. Catanes, N. B. Nagarit, C. S. Lictaoa, M. P. Leopoldo, J. N. Velasco, and G. M. Mendoza, "Circular Economy Competence in Engineering Education: A Neural Network-Structural Equation Modeling of Pedagogy and Digital Mediation," 2026 International Conference on Distance Education and Learning (ICDEL), pp. 429-433, 2026. doi: 10.1109/ICDEL70250.2026.11663795.
Silva, Dante L., et al.. "Circular Economy Competence in Engineering Education: A Neural Network-Structural Equation Modeling of Pedagogy and Digital Mediation." 2026 International Conference on Distance Education and Learning (ICDEL), 2026, pp. 429-433. https://doi.org/10.1109/ICDEL70250.2026.11663795.
Silva, D. L., Jesus, K. L. M. D., Catanes, J. G., Nagarit, N. B., Lictaoa, C. S., Leopoldo, M. P., Velasco, J. N., & Mendoza, G. M.. 2026. "Circular Economy Competence in Engineering Education: A Neural Network-Structural Equation Modeling of Pedagogy and Digital Mediation." 2026 International Conference on Distance Education and Learning (ICDEL): 429-433. https://doi.org/10.1109/ICDEL70250.2026.11663795.

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