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How do we know if communication is emerging in a multi-agent system? The vast majority of recent papers on emergent communication show that adding a communication channel leads to an increase in reward or task success. This is a useful…

Machine Learning · Computer Science 2019-03-14 Ryan Lowe , Jakob Foerster , Y-Lan Boureau , Joelle Pineau , Yann Dauphin

Improving students academic performance is not an easy task for the academic community of higher learning. The academic performance of engineering and science students during their first year at university is a turning point in their…

Machine Learning · Computer Science 2012-11-28 Md. Hedayetul Islam Shovon , Mahfuza Haque

Real-world applications often require improved models by leveraging a range of cheap incidental supervision signals. These could include partial labels, noisy labels, knowledge-based constraints, and cross-domain or cross-task annotations…

Machine Learning · Computer Science 2021-09-13 Hangfeng He , Mingyuan Zhang , Qiang Ning , Dan Roth

Computer-based learning platforms (CBLPs) have become a common medium in schools, transforming how students learn and interact with educational content. However, researchers still lack adequate tools to address the diverse set of challenges…

In the face of large-scale automated social engineering attacks to large online services, fast detection and remediation of compromised accounts are crucial to limit the spread of new attacks and to mitigate the overall damage to users,…

Cryptography and Security · Computer Science 2018-01-29 Hassan Halawa , Matei Ripeanu , Konstantin Beznosov , Baris Coskun , Meizhu Liu

In a pilot program during the 2016-17 admissions cycle, the University of California, Berkeley invited many applicants for freshman admission to submit letters of recommendation. We use this pilot as the basis for an observational study of…

Methodology · Statistics 2021-02-23 Eli Ben-Michael , Avi Feller , Jesse Rothstein

Online experiments are the gold standard for evaluating impact on user experience and accelerating innovation in software. However, since experiments are typically limited in duration, observed treatment effects are not always permanently…

Human-Computer Interaction · Computer Science 2021-02-26 Soheil Sadeghi , Somit Gupta , Stefan Gramatovici , Jiannan Lu , Hao Ai , Ruhan Zhang

We investigate the impact of content sequencing on student learning outcomes in a first-year university electromagnetism course. Using a custom-built online system, the McGill Learning Platform (McLEAP), we test student problem-solving…

We use a controlled experiment to study how information acquisition impacts candidate evaluations. We provide evaluators with group-level information on performance and the opportunity to acquire additional, individual-level performance…

General Economics · Economics 2025-07-21 Katherine B. Coffman , Scott Kostyshak , Perihan O. Saygin

Learning analytics is a research topic that is gaining increasing popularity in recent time. It analyzes the learning data available in order to make aware or improvise the process itself and/or the outcome such as student performance. In…

Databases · Computer Science 2015-01-29 Usha Keshavamurthy , H. S. Guruprasad

In order to track and comprehend the academic achievement of students, both private and public educational institutions devote a significant amount of resources and labour. One of the difficult issues that institutes deal with on a regular…

Computers and Society · Computer Science 2022-11-14 Bibhuprasad Mahakud , Bibhuti Parida , Ipsit Panda , Souvik Maity , Arpita Sahoo , Reeta Sharma

Detecting abnormal behaviors of students in time and providing personalized intervention and guidance at the early stage is important in educational management. Academic performance prediction is an important building block to enabling this…

Computers and Society · Computer Science 2019-03-19 Huaxiu Yao , Defu Lian , Yi Cao , Yifan Wu , Tao Zhou

Studying Mathematics requires a synthesis of skills from a multitude of academic disciplines; logical reasoning being chief among them. This paper explores mathematical logical preparedness of students entering first year university…

History and Overview · Mathematics 2021-02-11 Shannon Ezzat , Scott Rodney

A plethora of research has been done in the past focusing on predicting student's performance in order to support their development. Many institutions are focused on improving the performance and the education quality; and this can be…

Computers and Society · Computer Science 2020-05-15 MohammadNoor Injadat , Abdallah Moubayed , Ali Bou Nassif , Abdallah Shami

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

Several studies indicate that attracting students to research careers requires to engage them from early undergraduate years. Following this paradigm, our Engineering School has developed an undergraduate research program that allows…

Information Retrieval · Computer Science 2017-06-22 Felipe del-Rio , Denis Parra , Jovan Kuzmicic , Erick Svec

The recent employment and eventual widespread acceptance of electronic test in examining students and various classes in Nigeria has created a significant impact in the trends of educational history in the country. In this paper, we…

Computers and Society · Computer Science 2014-02-06 Olawale Adebayo , Shafii Muhammad Abdulhamid

This study investigates the impact of emotionally enriched AI feedback on student engagement and emotional responses in higher education. Leveraging the Control-Value Theory of Achievement Emotions, we conducted a randomized controlled…

Human-Computer Interaction · Computer Science 2024-10-22 Omar Alsaiari , Nilufar Baghaei , Hatim Lahza , Jason Lodge , Marie Boden , Hassan Khosravi

Electronic Medical Records (EMR) are a rich source of patient information, including measurements reflecting physiologic signs and administered therapies. Identifying which variables are useful in predicting clinical outcomes can be…

Machine Learning · Statistics 2019-04-03 Eugene Laksana , Melissa Aczon , Long Ho , Cameron Carlin , David Ledbetter , Randall Wetzel

We consider time to treatment initiation. This can commonly occur in preventive medicine, such as disease screening and vaccination; it can also occur with non-fatal health conditions such as HIV infection without the onset of AIDS. While…

Methodology · Statistics 2026-05-29 Zhichen Zhao , Andrew Ying , Ronghui Xu