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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

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

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…

Computers and Society · Computer Science 2025-11-21 H. R. Paz

Graduation and dropout rates have always been a serious consideration for educational institutions and students. High dropout rates negatively impact both the lives of individual students and institutions. To address this problem, this…

Machine Learning · Computer Science 2023-10-18 Sean Kim , Eliot Yoo , Samuel Kim

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

This paper analyzes the dynamics of higher education dropouts through an innovative approach that integrates recurrent events modeling and point process theory with functional data analysis. We propose a novel methodology that extends…

Applications · Statistics 2026-03-02 Alessandra Ragni , Chiara Masci , Anna Maria Paganoni

Education plays a pivotal role in alleviating poverty, driving economic growth, and empowering individuals, thereby significantly influencing societal and personal development. However, the persistent issue of school dropout poses a…

Computers and Society · Computer Science 2024-03-25 Maria Psyridou , Fabi Prezja , Minna Torppa , Marja-Kristiina Lerkkanen , Anna-Maija Poikkeus , Kati Vasalampi

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

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

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

Student dropout prediction is an indispensable for numerous intelligent systems to measure the education system and success rate of any university as well as throughout the university in the world. Therefore, it becomes essential to develop…

Computers and Society · Computer Science 2014-05-16 Sweta Rai

Early identification of college dropouts can provide tremendous value for improving student success and institutional effectiveness, and predictive analytics are increasingly used for this purpose. However, ethical concerns have emerged…

Computers and Society · Computer Science 2021-04-20 Renzhe Yu , Hansol Lee , René F. Kizilcec

Dropout poses a significant challenge to causal inference in longitudinal studies with time-varying treatments. However, existing research does not simultaneously address dropout and time-varying treatments. We examine selective…

Methodology · Statistics 2025-03-18 Zhichao Jiang , Eli Ben-Michael , D. James Greiner , Ryan Halen , Kosuke Imai

Not everyone who enrolls in college will leave with a certificate or degree, but the number of people who drop out or take a break is much higher than experts previously believed. In December 2013, there were 29 million people with some…

Machine Learning · Computer Science 2024-08-06 Yan Zhao , Amy Otteson

The prediction of academic dropout, with the aim of preventing it, is one of the current challenges of higher education institutions. Machine learning techniques are a great ally in this task. However, attention is needed in the way that…

Machine Learning · Computer Science 2023-05-16 Bruno de M. Barros , Hugo A. D. do Nascimento , Raphael Guedes , Sandro E. Monsueto

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

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

The time it takes a student to graduate with a university degree is mitigated by a variety of factors such as their background, the academic performance at university, and their integration into the social communities of the university they…

Physics Education · Physics 2021-01-27 John M. Aiken , Riccardo De Bin , Morten Hjorth-Jensen , Marcos D. Caballero

Academic procrastination is a persistent challenge in computing education, yet evidence on the effectiveness of course-level interventions remains fragmented across diverse designs and contexts. We present a systematic literature review of…

Computers and Society · Computer Science 2026-04-07 Daniel Cheng , Oscar Heath , Daniyaal Farooqi , Evelyn Chou , Alice Gao , Jonathan Calver
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