Search · four archives
Search · four archives
25 papers · ranked by Valyu relevance
Zhengyuan Liu, Stella Xin Yin, Min-Yen Kan, Nancy F. Chen
We present a conceptual framework for analyzing dialogue in collaborative problem-solving contexts, with an emphasis on the emerging dynamics of human-AI and multi-agent collaboration. As intelligent systems become active agents capable of autonomous reasoning and strategic cooperation, understanding the dialogic…
Gülşah Akçakır, John C. Lang, P. J. Lamberson
Collaboration enables groups to solve problems beyond the reach of their individual members in contexts ranging from research and development to high-energy physics. While communication networks play a pivotal role in group success, there is a longstanding debate on the optimal network topology for solving complex…
Wenhan Lyu, Yimeng Wang, Murong Yue, Yifan Sun + 4 more
Collaborative problem solving (CPS) is a fundamental practice in middle-school mathematics education; however, student groups frequently stall or struggle without ongoing teacher support. Recent work has explored how Generative AI tools can be designed to support one-on-one tutoring, but little is known about how AI…
Davidson, Tim R., Fourney, Adam + 8 more
The trajectory of AI development suggests that we will increasingly rely on agentbased systems composed of independently developed agents with different information, privileges, and tools. The success of these systems will critically depend on effective collaboration among these heterogeneous agents, even under partial…
Wong, Kester, Shihui, Feng + 4 more
Supporting learners during Collaborative Problem Solving (CPS) is a necessity. Existing studies have compared scaffolds with maximal and minimal instructional support by studying their effects on learning and behaviour. However, our understanding of how such scaffolds could differently shape the distribution of…
Anirban Mukhopadhyay, Kevin Salubre, Hifza Javed, Shashank Mehrotra + 1 more
In this section, we review co-located collaboration, with a focus on escape rooms as a research setting, which is used to study how groups coordinate and solve problems under time pressure (Section 2.1). Next, we examine generative AI in collaborative contexts, highlighting recent shifts from reactive to proactive…
Siem Buseyne, Fien Depaepe, Annelies Raes
This exploratory study examined the associations between personality traits and verbal interactions during collaborative problem solving (CPS) in adult workplace teams. Using the Business Attitudes Questionnaire, we examined personality domains, facets, and compounds in relation to CPS-specific verbal behaviors and…
Jonas Zimmerman, Amir Khorram-Manesh, Eric Carlström, Yohan Robinson + 1 more
Introduction Disasters and public health emergencies can overwhelm healthcare systems, requiring rapid increase in capacity, inter-agency collaboration, and the quick deployment of emergency medical teams. An effective response to these crises requires a structured approach that integrates multiple entities, including…
Denise Moerel, Tijl Grootswagers, Genevieve L. Quek, Manuel Varlet
Collaboration is a cornerstone of human behaviour, enabling individuals to achieve complex goals that transcend individual capabilities. While previous research has largely focused on the alignment of neural representations across brains during social interactions, real-world cooperation frequently involves…
Miao Xiong, Nee Nee Chan, Bee Eng Wong, Xiaomin Xie + 1 more
This study investigates how cognitive flexibility, engagement, and teamwork interact to foster problem-solving and innovation within interdisciplinary project-based learning (PBL) in vocational education. Drawing on Cognitive Flexibility Theory (CFT), Social Interdependence Theory (SIT), and Transformative Learning…
Joel Bucher, Lahari Goswami, Sverrir Thorgeirsson, April Yi Wang
Git environment with a split-view collaborative mode: learners work on their own local repositories connected to a shared remote repository, while simultaneously seeing their partner's actions mirrored in real time. This design is not intended for everyday software development, but rather as a training simulator to…
Mingguang Duan, Xiaorui Lan, Yan Yang
Introduction Technology-supported collaborative learning environments require higher education institutions to foster students' analytical, interdisciplinary, and collaborative capabilities. Although computational tools may support analytical thinking and problem-solving, their academic value may depend on students'…
Mariko Nakata, Rino Iwabuchi, Tomoaki Murakawa, Shinnosuke Dezawa + 3 more
A group of social animals, including humans, distributes work and rewards and establishes inter-individual relationships through shared experiences of working together. Understanding the neural mechanisms underlying group work is essential for elucidating how social relationships are formed. Thus, a behavioral paradigm…
Makito Hirami, Qichao Song, Yufei Wang, Daisuke Fujiki
When using a second language in problem-solving, “linguistic processing” and “thinking” occur simultaneously, consuming cognitive resources and reducing thinking ability compared to using a native language (i.e., foreign language side effect; FoLSE). In collaborative settings, cognitive load may increase due to the…
Ryssa Moffat, Guillaume Dumas, Emily S. Cross
Loneliness is globally acknowledged as a severe and burgeoning health risk, fuelling interest in helping people of all ages form meaningful social connections. One promising approach consists of intergenerational social programs. While behavioural and qualitative evidence derived from such programs promise health and…
Katherine Hiley, David Ryan, Layla Kouara, Zarina Mirza + 3 more
Children and adolescents, the primary participants in developmental neuroscience research, are rarely consulted or included in the research design process. By neglecting their perspectives and needs, we risk limiting the relevance and effectiveness of translational research that might emerge from such research. Here…
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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…
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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…
Basith Nasik, Shanna Nifoussi
Effective group work is central to Problem-Based Learning (PBL) in higher education, yet the optimal strategy for forming student groups remains unclear. This study compared MBTI-based grouping, informed by personality types and Keirsey temperaments, with Learning Style–Based (LSB) grouping, grounded in Kolb’s…
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We describe a collaborative research project spanning the disciplines of quantum hardware, quantum algorithms, conventional computational chemistry, synthetic medicinal chemistry and life sciences. Our project seeks to demonstrate an impact of quantum computing on human health. It is one of several funded by Wellcome…
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The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The traditional approach often led to redundant engineering effort, high…
Kristen Billiar, Taimoor Afzal, Olufunmilayo Ayobami, Solomon Mensah
Undergraduate engineering students often face two major barriers: limited access to culturally sensitive global experiences and difficulty securing design internship opportunities. Traditional study abroad and internship programs can be inaccessible due to financial, geographic, or structural constraints, hindering the…
Luca A. Naudszus, Ryssa Moffat, Emily S. Cross
Engaging with others in social scenarios can result in the alignment of brain activity between individuals. Dyadic (i.e., hyperscanning) studies typically estimate average region-specific levels of connectivity between brains (as opposed to within brains) across a given task to quantify brain activity alignment. This…
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This work establishes theoretical foundations for hierarchical quantum-classical algorithm design, where complex problems are decomposed across multiple spatial, temporal, or organizational scales with quantum and classical computation assigned to appropriate levels. We develop a mathematical framework that…
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Bayesian optimization (BO) has become increasingly important for experimental optimization across scientific domains, yet implementing BO pipelines requires significant programming expertise and familiarity with specialized frameworks. This creates a barrier for domain experts who could benefit from BO but lack the…