20 papers · ranked by Valyu relevance
Andreas Domberg, Michael Tomasello, Bahar Köymen, Valerio Capraro
A key skill in collaborative problem-solving is to communicate and evaluate reasons for proposals to arrive at the decision benefiting all group members. Although it is well-documented that collaborative contexts facilitate young children’s reasoning, less is known about whether competition with other groups…
Xinglin Wang, Hao Lin, Shaoxiong Feng, Peiwen Yuan + 8 more
Test-Time Scaling (TTS) enhances the reasoning capabilities of large language models by allocating additional inference compute to explore the solution space. However, existing parallel TTS methods typically keep branches isolated during search: intermediate discoveries remain branch-private and cannot guide other…
Ching-Yi Lee, Hung-Yi Lai, Ching-Hsin Lee, Mi-Mi Chen + 2 more
Background Collaborative clinical reasoning (CCR) among healthcare professionals is crucial for maximizing clinical outcomes and patient safety. This scoping review explores CCR to address the gap in understanding its definition, structure, and implications. Methods A scoping review was undertaken to examine CCR…
Elizabeth Kraatz, Manisha Nagpal, Tzu-Jung Lin, Ming-Yi Hsieh + 3 more
'Seung Yon Ha' 'Saetbyul Kim' 'Sangin Shin'] This comparative case study features two small groups of students engaging in collaborative dialog about social issues. Based on social constructivist theories, the two groups were compared across three major components of the small groups system: social dynamics…
Mutlu Cukurova
The concept of 'collaboration' has been extended rapidly to describe what people now do with conversational agents, intelligent tutors, adaptive platforms, and generative artificial intelligence (AI) tools in general. This chapter asks what is gained and lost when a demanding concept from the learning sciences is…
Beth H. Richardson, Linden J. Ball
Metareasoning refers to processes that monitor and control ongoing thinking and reasoning. The “metareasoning framework” that was established in the literature in 2017 has been useful in explaining how monitoring processes during reasoning are sensitive to an individual’s fluctuating feelings of certainty and…
Wang, Zhimin, Wu, Duo + 14 more
Effective real-world multi-agent collaboration requires not only accurate planning but also the ability to reason about collaborators' intents—a crucial capability for avoiding miscoordination and redundant communication under partial observable environments. Due to their strong planning and reasoning capabilities…
Alba Massolo, Mariel Traversi, Matías Alfonso, Johannes Karl
In this paper, we investigate whether collaborative group performance is better than individual performance in solving a syllogism evaluation task. We hypothesise that collaborative group settings will outperform individual settings and that the belief bias effect will be mitigated in a group setting. Two empirical…
James L. Crowley, Joëlle Coutaz, Jasmin Grosinger, Javier Vázquez-Salceda + 4 more
'Javier Vázquez-Salceda' 'Cecilio Ángulo' 'Alberto Sanfeliu' 'Luca Iocchi' 'Anthony G. Cohn'] James L. Crowley, Univ. Grenoble Alpes, France Joëlle Coutaz, Univ. Grenoble Alpes, France Jasmin Grosinger, Örebro University, Sweden Javier Vazquez-Salceda, Universitat Politècnica de Catalunya, Spain Cecilio Angulo…
Hua Xie, Amber Howell, Meredith Schreier, Kristen E. Sheau + 6 more
Humans have an extraordinary ability to interact and cooperate with others, which plays a pivotal role in societies at large. Despite its potential social and evolutionary significance, research on finding the neural correlates of collaboration has been limited partly due to restrictions on simultaneous neuroimaging of…
Irene‐Angelica Chounta
Collaborative learning is an educational approach that involves two or more people who learn while working together on a joint task in order to achieve a common goal (for example, to solve a problem or to design a product) (Dillenbourg, 1999a). Collaborative learning builds on the idea that learning is a social…
Kazushi Tsutsui, Ryoya Tanaka, Kazuya Takeda, Keisuke Fujii
Collaborative hunting, in which predators play different and complementary roles to capture prey, has been traditionally believed as an advanced hunting strategy requiring large brains that involve high level cognition. However, recent findings that collaborative hunting have also been documented in smaller-brained…
Achol Jones, Gabrielle Reznik, Al Rohet Hossain, Veronica Dudarev + 5 more
This study reports on the outcomes of a formal peer-learning program for undergraduate science students. We implemented a cohort-based study buddy program in which high-scoring students (mentors) and lower-scoring peers (protégés) were invited to form study groups based on their first assessment scores in a given…
Authors not listed
Artificial intelligence (AI) is poised to transform heterogeneous catalysis, ushering in a new paradigm for catalytic materials discovery. By uncovering intricate patterns in high-dimensional data, AI has been reshaping our pursuit of sustainable catalytic processes across the energy, environmental, and chemical…
Yang Liu, Tingting Wang, Kun Wang, Yu Zhang
Interpersonal physiological synchrony has been consistently found during collaborative tasks. However, few studies have applied synchrony to predict collaborative learning quality in real classroom. This study collected electrodermal activity (EDA) and heart rate (HR) in naturalistic class sessions, and compared the…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Authors not listed
Agentic artificial intelligence (AI) is poised to redefine how science is conducted, automating not just data analysis but the entire research lifecycle, from hypothesis generation to validation. Yet most current AI agents remain domain-bound, tailored to specific applications such as materials synthesis or quantum…
Alejandro A. Franco, Emilie Loup-Escande, Goran Loiseaux, Jean-Noël Chotard + 5 more
We present two digital-based serious games aiming to engage students and the general public with battery sciences. The first one is a multiscale simulator in Mixed Reality of a battery-powered Electric Vehicle (EV) interacting with an Electrical Grid. One of the players drives the EV in a Virtual Reality (VR)…
Authors not listed
Step-by-step thinking is essential in all domains of chemical sciences and engineering. While machine learning tools are broadly used, algorithms that automate reasoning are far less common. We elaborate on seven categories of human reasoning activities and connect each to applications in chemical science and…
Authors not listed
Nuclear Magnetic Resonance (NMR) structure determination is an important problem in education, industry, and research. Solving NMR spectra requires expert knowledge, critical thinking, and careful evaluation of multiple features of spectral data. This study explores the capabilities of large language models (LLMs) for…