An Agent-Based Simulation of Regularity-Driven Student Attrition: How Institutional Time-to-Live Constraints Create a Dropout Trap in Higher Education
H. R. Paz

TL;DR
This study uses an agent-based model to show that institutional time constraints significantly contribute to student dropout rates in engineering education, beyond academic failure.
Contribution
It introduces a calibrated agent-based simulation incorporating empirical data and psycho-academic archetypes to analyze the impact of normative friction on attrition.
Findings
86.4% of dropouts driven by normative mechanisms
Dropout vulnerability varies significantly across archetypes
Rigid assessment timelines disproportionately affect students with lower self-regulatory skills
Abstract
High dropout rates in engineering programmes are conventionally attributed to student deficits: lack of academic preparation or motivation. However, this view neglects the causal role of "normative friction": the complex system of administrative rules, exam validity windows, and prerequisite chains that constrain student progression. This paper introduces "The Regularity Trap," a phenomenon where rigid assessment timelines decouple learning from accreditation. We operationalize the CAPIRE framework into a calibrated Agent-Based Model (ABM) simulating 1,343 student trajectories across a 42-course Civil Engineering curriculum. The model integrates empirical course parameters and thirteen psycho-academic archetypes derived from a 15-year longitudinal dataset. By formalizing the "Regularity Regime" as a decaying validity function, we isolate the effect of administrative time limits on…
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Taxonomy
TopicsOnline Learning and Analytics · Higher Education and Employability · Higher Education Research Studies
