Embedding Systems Thinking in the Civil Engineering Curriculum: A Dialogic System Dynamics Approach

Systems thinking is a fundamental competency in modern engineering education, equipping graduates to decipher complex socio-technical interactions within infrastructure decision-making. This study evaluates an instructional framework implemented in a first-semester civil engineering course on systems complexity. Combining dialogic teaching with system dynamics, the curriculum guided novice undergraduates in constructing stock-and-flow models of the Ecuadorean electric power grid. Empirical findings indicate a marked cognitive transition amongst learners, who progressed from isolated, linear cause-and-effect assumptions towards multi-layered, non-linear reasoning. These cohorts incorporated socio-technical parameters—including population growth and thermal generation economics—and replicated emergent grid vulnerabilities, notably widespread blackouts resulting from underinvestment and hydrologic drought. Symmetrical classroom discourse provided the epistemic impetus for this transition, prompting students to externalise mental models and contest system boundaries. Therefore, visual stock-and-flow formulations grounded dynamic feedback mechanisms into observable, quantitative structures. These results demonstrate that visual dynamic modelling, underpinned by structured dialogic inquiry, provides an accessible, robust pedagogical methodology for developing systemic reasoning in introductory engineering education.

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Publication Details

Journal
Preprints.org
Published
2026-10-29
DOI
https://doi.org/10.20944/preprints202610.2923.v1
Primary Topic
Complex Systems and Decision Making
Type
preprint
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Embedding Systems Thinking in the Civil Engineering Curriculum: A Dialogic System Dynamics Approach

Juan Francisco Tlapanco-Limón, Mateo Castro, Gustavo Rosero, David Rivera-Tapia et al.
Preprints.org
Complex Systems and Decision Making
preprint

Embedding Systems Thinking in the Civil Engineering Curriculum: A Dialogic System Dynamics Approach

Juan Francisco Tlapanco-Limón, Mateo Castro, Gustavo Rosero, David Rivera-Tapia, Carlos Avila, Christopher Armas, José Palacios, Leonardo Moyano, Joel Pérez
preprint en

Abstract

Systems thinking is a fundamental competency in modern engineering education, equipping graduates to decipher complex socio-technical interactions within infrastructure decision-making. This study evaluates an instructional framework implemented in a first-semester civil engineering course on systems complexity. Combining dialogic teaching with system dynamics, the curriculum guided novice undergraduates in constructing stock-and-flow models of the Ecuadorean electric power grid. Empirical findings indicate a marked cognitive transition amongst learners, who progressed from isolated, linear cause-and-effect assumptions towards multi-layered, non-linear reasoning. These cohorts incorporated socio-technical parameters—including population growth and thermal generation economics—and replicated emergent grid vulnerabilities, notably widespread blackouts resulting from underinvestment and hydrologic drought. Symmetrical classroom discourse provided the epistemic impetus for this transition, prompting students to externalise mental models and contest system boundaries. Therefore, visual stock-and-flow formulations grounded dynamic feedback mechanisms into observable, quantitative structures. These results demonstrate that visual dynamic modelling, underpinned by structured dialogic inquiry, provides an accessible, robust pedagogical methodology for developing systemic reasoning in introductory engineering education.

Preprints.org
Complex Systems and Decision Making
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Embedding Systems Thinking in the Civil Engineering Curriculum: A Dialogic System Dynamics Approach — Juan Francisco Tlapanco-Limón, Mateo Castro, et al. · Preprints.org (2026) | TGRS Research Map | TGRS