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Humans and other intelligent agents often rely on collective decision making based on an intuition that groups outperform individuals. However, at present, we lack a complete theoretical understanding of when groups perform better. Here we…

Social and Information Networks · Computer Science 2024-10-23 Vince J. Straub , Milena Tsvetkova , Taha Yasseri

Comparing with lecturer marked assessments, peer assessment is a more comprehensive learning process and many of the associated problems have occurred. In this research work, we study the peer-assessment impact on group learning activities…

Computers and Society · Computer Science 2022-01-10 Zhiyuan Chen , Soon Boon Lee , Shazia Paras Shaikh , Mirza Rayana Sanzana

While it has long been recognized that a team of individual learning agents can be greater than the sum of its parts, recent work has shown that larger teams are not necessarily more effective than smaller ones. In this paper, we study why…

Artificial Intelligence · Computer Science 2023-06-29 David Radke , Kate Larson , Tim Brecht , Kyle Tilbury

The structure of communication networks is an important determinant of the capacity of teams, organizations and societies to solve policy, business and science problems. Yet, previous studies reached contradictory results about the…

Social and Information Networks · Computer Science 2016-10-24 Daniel Barkoczi , Mirta Galesic

Students at all levels of education are increasingly relying on generative artificial intelligence (AI) tools to complete assignments and achieve higher exam scores. However, it remains unclear how this reliance affects their motivation,…

Computers and Society · Computer Science 2025-10-21 Márton Benedek , Balázs R. Sziklai

Human collective tasks in teams and organizations increasingly require participation of members with diverse backgrounds working in networked social environments. However, little is known about how network structure and the functional…

Social and Information Networks · Computer Science 2025-02-05 Yiding Cao , Yingjun Dong , Minjun Kim , Neil G. MacLaren , Sriniwas Pandey , Shelley D. Dionne , Francis J. Yammarino , Hiroki Sayama

Organisations rely upon group formation to solve complex tasks, and groups often adapt to the demands of the task they face by changing their composition periodically. Previous research comes to ambiguous results regarding the effects of…

General Economics · Economics 2022-03-18 Darío Blanco-Fernández , Stephan Leitner , Alexandra Rausch

When users stand to gain from certain predictions, they are prone to act strategically to obtain favorable predictive outcomes. Whereas most works on strategic classification consider user actions that manifest as feature modifications, we…

Machine Learning · Computer Science 2024-06-25 Guy Horowitz , Yonatan Sommer , Moran Koren , Nir Rosenfeld

Education literature recommends many different strategies for structuring student group work in labs. Many of these strategies, however, have not been sufficiently evaluated for their effects on student outcomes. One prior study suggested…

Physics Education · Physics 2025-12-19 Jacob Feinleib , Matthew Dew , N. G. Holmes

Feedback from artificial intelligence (AI) is increasingly easy to access and research has already established that people learn from it. But individuals choose when and how to seek such feedback, and more engaged and motivated individuals…

General Economics · Economics 2026-04-22 Christoph Riedl , Eric Bogert

Collaboration skills are important for future software engineers. In computer science education, these skills are often practiced through group assignments, where students develop software collaboratively. The approach that students take in…

Computers and Society · Computer Science 2021-03-17 Anna van der Meulen , Efthimia Aivaloglou

How does the number of collaborators affect individual productivity? Results of prior research have been conflicting, with some studies reporting an increase in individual productivity as the number of collaborators grows, while other…

Human-Computer Interaction · Computer Science 2019-11-28 Goran Muric , Andres Abeliuk , Kristina Lerman , Emilio Ferrara

Groups coordinate more effectively when individuals are able to learn from others' successes. But acquiring such knowledge is not always easy, especially in real-world environments where success is hidden from public view. We suggest that…

It is widely believed that diversity arising from different skills enhances the performance of teams, and in particular, their ability to learn and innovate. However, diversity has also been associated with negative effects on the…

Physics and Society · Physics 2023-07-03 Fabian Baumann , Agnieszka Czaplicka , Iyad Rahwan

Collaborative learning has successfully applied knowledge transfer to guide a pool of small student networks towards robust local minima. However, previous approaches typically struggle with drastically aggravated student homogenization…

Machine Learning · Computer Science 2021-02-23 Shaoxiong Feng , Hongshen Chen , Xuancheng Ren , Zhuoye Ding , Kan Li , Xu Sun

Group work, where students work on projects to overcome challenges together, has numerous advantages, including learning of important transferable skills, better learning experience and increased motivation. However, in many academic…

Computers and Society · Computer Science 2018-11-09 Hugh Harvey , James Keen , Chester Robinson , James Roff , Thilo Gross

Group configurations play a pivotal role in shaping social skills and learning outcomes by fostering student interaction and collaboration. Yet, the factors influencing group formation, social cohesion, and group stability remain…

Physics Education · Physics 2023-09-28 Diego Ramírez , Eugenio J. Guzman-Lavın , Javier Pulgar , Cristian Candia

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

The main intreest of this study was to investigate the phenomenon of collective intelligence in an anonymous virtual environment developed for this purpose. In particular, we were interested in studiyng how dividing a fixed community in…

Social and Information Networks · Computer Science 2016-09-21 Federica Stefanelli , Enrico Imbimbo , Franco Bagnoli , Andrea Guazzini

We study a distributed learning process observed in human groups and other social animals. This learning process appears in settings in which each individual in a group is trying to decide over time, in a distributed manner, which option to…

Machine Learning · Computer Science 2017-05-10 L. Elisa Celis , Peter M. Krafft , Nisheeth K. Vishnoi
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