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A fundamental component in the theoretical school choice literature is the problem a student faces in deciding which schools to apply to. Recent models have considered a set of schools of different selectiveness and a student who is unsure…

Computer Science and Game Theory · Computer Science 2024-03-08 Jon Kleinberg , Sigal Oren , Emily Ryu , Éva Tardos

In recent years, the integration of gamification into educational settings has garnered significant attention as a means to enhance student engagement and learning outcomes. By leveraging gamified elements such as points and leaderboards,…

Other Statistics · Statistics 2024-10-23 Eilidh Jack , Craig Alexander , Elinor M Jones

Ranking and scoring are ubiquitous. We consider the setting in which an institution, called a ranker, evaluates a set of individuals based on demographic, behavioral or other characteristics. The final output is a ranking that represents…

Databases · Computer Science 2016-10-28 Ke Yang , Julia Stoyanovich

The growth of Internet has led to new approaches for distance education. The main mechanisms involved in this process are distance learning and distance evaluation. Distance learning have multiple forms, from browsing and finding…

Computers and Society · Computer Science 2014-06-03 Stefan Gheorghe Pentiuc , Felicia Giza , Ovidiu Andrei Schipor

We analyze a mathematical model to understand the dynamics of bullying in schools. The model considers a population divided into four groups: susceptible individuals, bullies, individuals exposed to bullying, and violent individuals.…

Physics and Society · Physics 2025-01-10 Nuno Crokidakis

World University rankings have become well-established tools that students, university managers and policy makers read and use. Each ranking claims to have a unique methodology capable of measuring the 'quality' of universities. The purpose…

Digital Libraries · Computer Science 2019-06-11 Nicolas Robinson-Garcia , Daniel Torres-Salinas , Enrique Herrera-Viedma , Domingo Docampo

We use variation of test scores measuring closely related skills to isolate peer effects. The intuition for our identification strategy is that the difference in closely related scores eliminates factors common to the performance in either…

General Economics · Economics 2025-07-03 Guido Kuersteiner , Ingmar Prucha , Ying Zeng

The growing adoption of interactive learning tools in higher education offers new opportunities to enhance student performance and well-being. This study compares the effects of traditional and interactive learning methods on academic…

Human-Computer Interaction · Computer Science 2026-04-20 Siva Raja Sindiramutty

Random disturbances such as air pollution may affect cognitive performance, which, particularly in high-stakes settings, may have severe consequences for an individual's productivity and well-being. This paper examines the short-term…

General Economics · Economics 2025-06-25 Agata Galkiewicz

There has been an increasing trend of females performing better than males academically across the mathematical engineering courses. To confirm this assumption, final marks of two independent samples of students from Calculus courses across…

History and Overview · Mathematics 2023-07-18 Luai Al Labadi , Hishyar Khalil , Nida Siddiqui

Among the general population, students are especially sensitive to social media and smartphones because of their pervasiveness. Several studies have shown that there is a negative correlation between social media and academic performance…

Computers and Society · Computer Science 2020-06-29 Fausto Giunchiglia , Mattia Zeni , Elisa Gobbi , Enrico Bignotti , Ivano Bison

Predictive models for identifying at-risk students early can help teaching staff direct resources to better support them, but there is a growing concern about the fairness of algorithmic systems in education. Predictive models may…

Computers and Society · Computer Science 2020-07-02 Hansol Lee , René F. Kizilcec

In this paper we conduct an analysis of Moodle activity data focused on identifying early predictors of good student performance. The analysis shows that three relevant hypotheses are largely supported by the data. These hypotheses are:…

Computers and Society · Computer Science 2016-01-13 Ewa Młynarska , Derek Greene , Pádraig Cunningham

In this paper we articulate a framework for quantifying the complexity of curricula based on their fundamental structural and instructional properties. We then introduce the notion of curricular analytics as a means of relating curricular…

Computers and Society · Computer Science 2018-11-27 Gregory L. Heileman , Chaouki T. Abdallah , Ahmad Slim , Michael Hickman

As student failure rates continue to increase in higher education, predicting student performance in the following semester has become a significant demand. Personalized student performance prediction helps educators gain a comprehensive…

Computers and Society · Computer Science 2021-10-19 Kun Niu , Xipeng Cao , Yicong Yu

In deciding on a student's grade in a class, an instructor generally needs to combine many individual grading judgments into one overall judgment. Two relatively common numerical scales used to specify individual grades are the 4-point…

Physics Education · Physics 2020-09-02 David J. Webb , Cassandra A. Paul , Mary K. Chessey

Instilling good laboratory working attitudes in students is a difficult but very important task, especially in the first level courses. The introduction of a grade, based on the observation of work practices during laboratory sessions, can…

Physics Education · Physics 2015-03-26 G. L. Lippi

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

Academics is a huge repository of research avenue. Students tend to behave and adapt to the classroom based on their peer influences. Peers help in the increase of communication skills. Research shows group study is more effective than…

Social and Information Networks · Computer Science 2021-08-17 Rajeshwari K , Apurva Rohit Hegde , Drishika Patil

Although personalization is widely advocated in gamified learning, empirical evidence on how learner characteristics and task context shape motivational preferences remains limited. This study examines how user characteristics and learning…

Computers and Society · Computer Science 2026-03-17 Anna Katharina Ricker , Kai Marquardt , Lucia Happe