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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

Poor sleep habits may cause serious problems of mind and body, and it is a commonly observed issue for college students due to study workload as well as peer and social influence. Understanding its impact and identifying students with poor…

Artificial Intelligence · Computer Science 2022-02-21 Teng Guo , Linhong Li , Dongyu Zhang , Feng Xia

The use of new technologies in higher education has surprisingly emphasized students' tendency to adopt a passive behavior in class. Participation and interaction of students are essential to improve academic results. This paper describes…

This paper explores advancements in Artificial Intelligence technologies to enhance classroom learning, highlighting contributions from companies like IBM, Microsoft, Google, and ChatGPT, as well as the potential of brain signal analysis.…

Computers and Society · Computer Science 2025-03-11 Shadeeb Hossain

In the {\sc Course Allocation} problem, there are a set of students and a set of courses at a given university. University courses may have different numbers of credits, typically related to different numbers of learning hours, and there…

Data Structures and Algorithms · Computer Science 2026-01-27 José Rodríguez , David Manlove

Timely prediction of students at high risk of dropout is critical for early intervention and improving educational outcomes. However, in offline educational settings, poor data quality, limited scale, and high heterogeneity often hinder the…

Artificial Intelligence · Computer Science 2025-05-19 Jiabei Cheng , Zhen-Qun Yang , Jiannong Cao , Yu Yang , Xinzhe Zheng

Dropout is a widely-used regularization technique, often required to obtain state-of-the-art for a number of architectures. This work demonstrates that dropout introduces two distinct but entangled regularization effects: an explicit effect…

Machine Learning · Computer Science 2020-10-16 Colin Wei , Sham Kakade , Tengyu Ma

Dropout is a very effective way of regularizing neural networks. Stochastically "dropping out" units with a certain probability discourages over-specific co-adaptations of feature detectors, preventing overfitting and improving network…

Neural and Evolutionary Computing · Computer Science 2017-08-04 Pietro Morerio , Jacopo Cavazza , Riccardo Volpi , Rene Vidal , Vittorio Murino

Each year perhaps millions of young people face the following dilemma: should I continue my education or rather start working with already acquired skills. Right decision must take into account somebody's own abilities, accessibility to…

Other Condensed Matter · Physics 2007-05-23 Adam Lipowski , Antonio L. Ferreira

In a world of information overload, understanding how we can most effectively manage information is crucial to success. We set out to understand how people view deletion, the removal of material no longer needed: does it help by reducing…

Human-Computer Interaction · Computer Science 2026-01-01 Paul Englefield , Russell Beale

Women comprise the majority of students and early-career scholars in psychology, yet they are less likely to remain active in research over time. This pattern raises a central question: At what stages of academic careers do women…

Social and Information Networks · Computer Science 2026-05-27 Xinyi Zhao , Anna I. Thoma , Ralph Hertwig , Dirk U. Wulff

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

Each year, selective American colleges sort through tens of thousands of applications to identify a first-year class that displays both academic merit and diversity. In the 2023-2024 admissions cycle, these colleges faced unprecedented…

Computers and Society · Computer Science 2024-07-17 Jinsook Lee , Emma Harvey , Joyce Zhou , Nikhil Garg , Thorsten Joachims , Rene F. Kizilcec

Students' satisfaction plays a vital role in success of an educational institute. Hence, many educational institutes continuously improve their service to produce a supportive learning environment to satisfy the student need. For this…

Computers and Society · Computer Science 2015-04-17 Farzana Afrin , Mohammad Saiedur Rahaman , Mohammad Saidur Rahman , Mashiour Rahman

In the institutional research mode, in order to explore which characteristics are the best indicators for predicting academic risk from the student behavior data sets that have high-dimensional, unbalanced classified small sample, it…

Machine Learning · Computer Science 2021-12-03 Shudong Yang

While Massive Open Online Course (MOOCs) platforms provide knowledge in a new and unique way, the very high number of dropouts is a significant drawback. Several features are considered to contribute towards learner attrition or lack of…

Human-Computer Interaction · Computer Science 2020-08-14 Ahmed Alamri , Mohammad Alshehri , Alexandra I. Cristea , Filipe D. Pereira , Elaine Oliveira , Lei Shi , Craig Stewart

Retaining players over an extended period of time is a long-standing challenge in game industry. Significant effort has been paid to understanding what motivates players enjoy games. While individuals may have varying reasons to play or…

Social and Information Networks · Computer Science 2017-02-28 Kunwoo Park , Meeyoung Cha , Haewoon Kwak , Kuan-Ta Chen

The main objective of higher education institutions is to provide quality education to its students. One way to achieve highest level of quality in higher education system is by discovering knowledge for prediction regarding enrolment of…

Information Retrieval · Computer Science 2012-01-18 Brijesh Kumar Baradwaj , Saurabh Pal

The purpose of this study is to explore students' backtracking patterns in using a digital textbook and reveal the relationship between backtracking behaviors and academic performance as well as learning styles. The study was carried out…

Human-Computer Interaction · Computer Science 2022-06-10 Bo Jiang , Meijun Gu , Chengjiu Yin

This Full Paper in the Research-To-Practice Category presents a long-term study about the effects of a student-centered course on communication and professional skills on students' thoughts, attitudes, and behavior. The course is offered at…

Computers and Society · Computer Science 2021-01-05 Renate Motschnig , Michael Silber , Valdemar Švábenský