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Engineering programmes, particularly in Latin America, are often governed by rigid curricula and strict regularity rules that are claimed to create a Regularity Trap for capable students. This study tests that causal hypothesis using the…

Computers and Society · Computer Science 2025-11-25 H. R. Paz

Engineering programmes in Latin America combine high structural rigidity, intense assessment cultures and persistent socio-economic inequality, producing dropout rates that remain stubbornly high despite increasingly accurate early-warning…

Computers and Society · Computer Science 2025-11-25 H. R. Paz

Progression and assessment rules are often treated as administrative details, yet they fundamentally shape who is allowed to remain in higher education, and on what terms. This article uses a calibrated agent-based model to examine how…

Computers and Society · Computer Science 2025-11-24 H. R. Paz

Dropout in higher education is commonly analysed through observable academic events such as course failure or repetition. However, these event-based perspectives may obscure the underlying structural dynamics that shape student…

Computers and Society · Computer Science 2026-04-28 Hugo Roger Paz

Research on student progression in higher education has traditionally focused on vertical outcomes such as persistence and dropout, often reducing complex academic histories to binary indicators. While the structural component of horizontal…

Computers and Society · Computer Science 2025-12-05 H. R. Paz

Both student retention in higher education and artificial intelligence governance face a common structural challenge: the application of linear regulatory frameworks to complex adaptive systems. Risk-based approaches dominate both domains,…

Computers and Society · Computer Science 2025-12-16 Hugo Roger Paz

This study provides a causal validation of the dual-stressor hypothesis in a long-cycle engineering programme in Argentina, testing whether academic staff strikes (proximal shocks) and inflation (distal shocks) jointly shape student…

Computers and Society · Computer Science 2025-11-26 H. R. Paz

This study extends the CAPIRE framework with a macro-shock module to analyse the impact of teacher strikes and inflation on student trajectories in engineering education. Using data from 1,343 students across 15 cohorts (2004-2019) in a…

Computers and Society · Computer Science 2025-11-19 H. R Paz

Predictive models for student dropout, while often accurate, frequently rely on opportunistic feature sets and suffer from undocumented data leakage, limiting their explanatory power and institutional usefulness. This paper introduces a…

Computers and Society · Computer Science 2025-11-18 H. R. Paz

University dropout remains a persistent challenge in higher education systems, yet causal evidence on the mechanisms triggering early disengagement is limited. This study estimates the causal effect of first-time academic failure on…

Computers and Society · Computer Science 2026-01-12 H. R. Paz

Engineering degrees are often perceived as "hard", yet this hardness is usually discussed in terms of content difficulty or student weaknesses rather than as a structural property of the curriculum itself. Recent work on course-prerequisite…

Computers and Society · Computer Science 2025-12-08 H. R. Paz

Large-scale administrative data is a common input in early warning systems for college dropout in higher education. Still, the terminology and methodology vary significantly across existing studies, and the implications of different…

Computers and Society · Computer Science 2024-01-15 Dominik Glandorf , Hye Rin Lee , Gabe Avakian Orona , Marina Pumptow , Renzhe Yu , Christian Fischer

Creating a study program for optimal academic completion is a complex assignment. Especially programs in the science, technology, engineering, and mathematics field are known for extended completion time as well as high drop-out rates…

Computers and Society · Computer Science 2021-10-26 Marcel Dröscher , Alpar Gür , Nicolas Rehbach

This study proposes a temporal modeling framework with a counterfactual policy-simulation layer for student dropout in higher education, using LMS engagement data and administrative withdrawal records. Dropout is operationalized as a…

Machine Learning · Computer Science 2026-05-19 Rafael da Silva , Jeff Eicher , Gregory Longo

Curricula in long-cycle programmes are usually recorded in institutional databases as linear lists of courses, yet in practice they operate as directed graphs of prerequisite relationships that constrain student progression through complex…

Computers and Society · Computer Science 2025-11-20 H. R. Paz

Social integration theories suggest that students embedded in supportive peer networks are less likely to drop out. In learning analytics, this has motivated the use of social network analysis (SNA) from institutional co-enrolment data to…

Computers and Society · Computer Science 2025-11-25 H. R. Paz

This study was based on data analysis of academic histories of civil engineering students at FACET-UNT. Our main objective was to determine the academic performance variables that have a significant impact on the dropout of the career. To…

Computers and Society · Computer Science 2023-11-14 Hugo Roger Paz

One of the long term goals of any college or university is increasing the student retention. The negative impact of student dropout are clear to students, parents, universities and society. The positive effect of decreasing student…

Computers and Society · Computer Science 2017-07-20 Mehrdad J. Bani , Mina Haji

Universities are widely expected to respond to technological transitions through rapid reconfiguration of programme demand and curricular supply. Using four decades of longitudinal administrative cohorts (1980-2019) from a large public…

Physics and Society · Physics 2026-01-09 H. R. Paz

Each year, roughly 30% of first-year students at US baccalaureate institutions do not return for their second year and over $9 billion is spent educating these students. Yet, little quantitative research has analyzed the causes and possible…

Machine Learning · Statistics 2017-03-09 Lovenoor Aulck , Nishant Velagapudi , Joshua Blumenstock , Jevin West
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