Title: Beyond Dyadic Coordination: Multimodal Behavioral Irregularity in Triads Predicts Facets of Collaborative Problem Solving
Abstract We hypothesize that effective collaboration is facilitated when individuals and environmental components form a synergy where they work together and regulate one another to produce stable patterns of behavior, or regularity, as well as adaptively reorganize to form new behaviors, or irregularity. We tested this hypothesis in a study with 32 triads who collaboratively solved a challenging visual computer programming task for 20 min following an introductory warm‐up phase. Multidimensional recurrence quantification analysis was used to examine fine‐grained (i.e., every 10 s) collective patterns of regularity across team members' speech rate, body movement, and team interaction with the shared user interface. We found that teams exhibited significant patterns of regularity as compared to shuffled baselines, but there were no systematic trends in regularity across time. We also found that periods of regularity were associated with a reduction in overall behavior. Notably, the production of irregular behavior predicted expert‐coded metrics of collaborative activity, such as teams' ability to construct shared knowledge and effectively negotiate and coordinate execution of solutions, net of overall behavioral production and behavioral self‐similarity. Our findings support the theory that groups can interact to form interpersonal synergies and indicate that information about system‐level dynamics is a viable way to understand and predict effective collaborative processes. more »« less
Vance-Chalcraft, Heather; Etheridge, Randall; O’Driscoll, Michael; Peralta, Ariane; Andersen, Clark; Freeland, Fiona; Walker, Joi
(, Scholarship and Practice of Undergraduate Research)
Mabrouk, Patricia
(Ed.)
Collaborative teamwork is fundamental to successful research and is a desirable skill set for employers. Yet students receive little training in how to effectively work in teams. This article presents the preliminary design and implementation of course-based undergraduate research experiences (CUREs) in biology, geology, and environmental engineering in which student teams address questions related to their discipline while contributing to a shared research project. Team science training in communication, research planning, and conflict resolution was embedded into CURE classes at a regional R2 university. Although barriers to this approach were present, evidence in the form of writing prompt scores and team science products suggested student understanding of effective teams and the benefits of working with individuals within and across disciplines to solve complex problems increased.
Magana, Alejandra_J; Amuah, Theodora; Aggrawal, Sakhi; Patel, Devang_A
(, International Journal of STEM Education)
Abstract BackgroundEffectively facilitating teamwork experiences, particularly in the context of large-size courses, is difficult to implement. This study seeks to address the challenges of implementing effective teamwork experiences in large courses. This study integrated teamwork pedagogy to facilitate a semester-long project in the context of a large-size class comprising 118 students organized into 26 teams. The data for this study were collected from two online teamwork sessions when teams collaborated and self-recorded during the in-class time. The video recordings were qualitatively analyzed to identify patterns in team dynamics processes through visualizations. The study aims to provide insights into the different ways team members engaged in team dynamics processes during different phases of the semester. ResultsFindings suggest that members of teams were mostly active and passive during meetings and less constructive and interactive in their engagement. Team members mainly engaged in communication, team orientation, and feedback behaviors. Over time, team members' interactions with one another remained about the same, with feedback behaviors tending to diminish and coordination behaviors staying about the same or slightly increasing over time. ConclusionThe implications of this study extend to both practice and theory. Practically, combining cooperative learning and scrum practices enabled a blend of collaborative and cooperative work, which suggests providing teams with tools and structures to coordinate teamwork processes and promote interaction among team members. From a theoretical perspective, this study contributes to the understanding of temporal aspects of teamwork dynamics by examining how team interactions evolve during working sessions at different points in time. Overall, this research provides valuable insights for educators, practitioners, and researchers aiming to enhance teamwork experiences in large courses, particularly in software development disciplines.
Complex problems require complex teams comprised of individuals with different backgrounds, skills and perspectives to work effectively toward their solution. Increasingly, this is being accomplished through the creation of multi-team systems (MTS) that are developed and implemented in alignment with team science-based strategies. MTS are comprised of individual teams with their own goals that are interconnected and work collaboratively toward a larger, common goal. Attitudinal (cohesion, trust, commitment), behavioral (coordination, communication, shared leadership) and cognitive (situational awareness, shared mental models) competencies support MTS effectiveness. Multisector MTS are even more complex, as team members bring aspects of their organizational culture into the MTS, and if priorities and practices are not well aligned, team function and effectiveness can suffer. Thus, for multisector MTS to work, they must begin with a foundational understanding of the component parts, that is, each organization’s culture and priorities, and how – or if – they align for the success of the collaborative. We created a multisector MTS to develop and implement a project funded by the National Science Foundation’s (NSF’s) Scholarships in Science, Technology, Engineering and Mathematics (S-STEM) program. The project’s objectives are to: increase the number of domestic low-income academically talented students with demonstrated financial need obtaining master's degrees in supported disciplines and entering the US STEM workforce; implement and evaluate the impact of our Flexible Internship-Research-Education (FIRE) model, which integrates evidence-based strategies that provide student career and educational development support, on student success; and implement, study and disseminate an MTS model for multi -organizational collaboration toward career and educational development. The partners include four universities – three Carnegie R2 public Historically Black Colleges and Universities and one Carnegie R1 private, highly selective admissions institution – and a major government employer. Six teams comprise our MTS; with the exception of one, each team has representatives from each partner organization. We sought to understand how each organization’s culture influenced – or might potentially influence – team interactions. The guiding research question for this study is: In what ways – positive or negative – do partner organizations’ cultures impact team members’ engagement with the project? We were interested in gauging how organizational culture, operationalized by performance values (rewarding individual performance vs. team performance), communications (transparent vs. need-to-know, clarity, frequency), conflict resolution and collaborative vs. competitive environments, manifested in their engagement with the MTS. We also explored how – or if – their organization’s priorities aligned with the overall project’s aims and what specific areas might be sources of support and/or challenges as the teams progressed. We conducted open-ended structured interviews with eight project team members who each served on at least one of the six teams. We are completing both content and thematic analyses to understand how team members speak about their organizational influences and engagements within and among the teams. We are finding team members are adaptable; regardless of individual or organizational priorities, when challenges arise, they can re-center on the project’s aims and work collaboratively toward student success. We expect results will illuminate factors multisector MTS teams should consider when forming collaborations.
Zhou, Sharon; Valentine, Melissa; Bernstein, Michael S
(, ACM)
Team structures---roles, norms, and interaction patterns---define how teams work. HCI researchers have theorized ideal team structures and built systems nudging teams towards them, such as those increasing turn-taking, deliberation, and knowledge distribution. However, organizational behavior research argues against the existence of universally ideal structures. Teams are diverse and excel under different structures: while one team might flourish under hierarchical leadership and a critical culture, another will flounder. In this paper, we present DreamTeam: a system that explores a large space of possible team structures to identify effective structures for each team based on observable feedback. To avoid overwhelming teams with too many changes, DreamTeam introduces multi-armed bandits with temporal constraints: an algorithm that manages the timing of exploration--exploitation trade-offs across multiple bandits simultaneously. A field experiment demonstrated that DreamTeam teams outperformed self-managing teams by 38%, manager-led teams by 46%, and teams with unconstrained bandits by 41%. This research advances computation as a powerful partner in establishing effective teamwork.
Margherio, C.
(, 2021 ASEE Virtual Annual Conference Content Access)
This research paper investigates how individual change agents come together to form effective teams. Improving equity within academic engineering requires changes that are often too complex and too high-risk for a faculty member to pursue on their own. Teams offer the advantage of combining a diverse skill set of many individuals, as well as bringing together insider knowledge and external specialist expertise. However, in order for teams of academic change agents to function effectively, they must overcome the challenges of internal politics, power differentials, and group conflict. This analysis of team formation emerges from our participatory action research with recipients of the NSF Revolutionizing Engineering Departments (RED) grants. Through an NSF-funded collaboration between the University of Washington and Rose-Hulman Institute of Technoliogy, we work with the RED teams to research the process of change as they work to improve equity and inclusion within their institutions. Utilizing longitudinal qualitative data from focus group discussions with 16 teams at the beginning and midpoints of their projects, we examine the development of teams to transform engineering education. Drawing on theoretical frameworks from social movement theory, we highlight the importance of creating a unified team voice and developing a sense of group agency. Teams have a better chance of achieving their goals if members are able to create a unified voice—that is, a shared sense of purpose and vision for their team. We find that the development of a team’s unified voice begins with proposal writing. When members of RED teams did not collaboratively write the grant proposal, they found it necessary to devote more time to develop a sense of shared vision for their project. For many RED teams, the development of a unified voice was further strengthened through external messaging, as they articulated a “we” in opposition to a “they” who have different values or interests. Group agency develops as a result of team members perceiving their goals as attainable and their efforts, as both individuals and a group, as worthwhile. That is, group agency is dependent on both the credibility of the team as well as trust among team members. For some of the RED teams, the NSF requirement to include social scientists and education researchers on their teams gave the engineering team members new, increased exposure to these fields. RED teams found that creating mutual respect was foundational for working across disciplinary differences and developing group agency.
@article{osti_10121365,
place = {Country unknown/Code not available},
title = {Beyond Dyadic Coordination: Multimodal Behavioral Irregularity in Triads Predicts Facets of Collaborative Problem Solving},
url = {https://par.nsf.gov/biblio/10121365},
DOI = {10.1111/cogs.12787},
abstractNote = {Abstract We hypothesize that effective collaboration is facilitated when individuals and environmental components form a synergy where they work together and regulate one another to produce stable patterns of behavior, or regularity, as well as adaptively reorganize to form new behaviors, or irregularity. We tested this hypothesis in a study with 32 triads who collaboratively solved a challenging visual computer programming task for 20 min following an introductory warm‐up phase. Multidimensional recurrence quantification analysis was used to examine fine‐grained (i.e., every 10 s) collective patterns of regularity across team members' speech rate, body movement, and team interaction with the shared user interface. We found that teams exhibited significant patterns of regularity as compared to shuffled baselines, but there were no systematic trends in regularity across time. We also found that periods of regularity were associated with a reduction in overall behavior. Notably, the production of irregular behavior predicted expert‐coded metrics of collaborative activity, such as teams' ability to construct shared knowledge and effectively negotiate and coordinate execution of solutions, net of overall behavioral production and behavioral self‐similarity. Our findings support the theory that groups can interact to form interpersonal synergies and indicate that information about system‐level dynamics is a viable way to understand and predict effective collaborative processes.},
journal = {Cognitive Science},
volume = {43},
number = {10},
publisher = {Wiley-Blackwell},
author = {Amon, Mary_Jean and Vrzakova, Hana and D'Mello, Sidney_K},
}
Warning: Leaving National Science Foundation Website
You are now leaving the National Science Foundation website to go to a non-government website.
Website:
NSF takes no responsibility for and exercises no control over the views expressed or the accuracy of
the information contained on this site. Also be aware that NSF's privacy policy does not apply to this site.
An official website of the United States government
