More Like this

1. Characterising Individual-Level Collaborative Learning Behaviours Using Ordered Network Analysis and Wearable Sensors

   Yan, L; Swiecki, Z; Gašević, D; Zhao; L; Li, X; Martinez-Maldonado; R; Tan; Y; et al (October 2023, Springer, Cham)

   Irgens, G; Knight, S (Ed.)

   Wearable positioning sensors are enabling unprecedented opportunities to model students’ procedural and social behaviours during collaborative learning tasks in physical learning spaces. Emerging work in this area has mainly focused on modelling group-level interactions from low-level x-y positioning data. Yet, little work has utilised such data to automatically identify individual-level differences among students working in co-located groups in terms of procedural and social aspects such as task prioritisation and collaboration dynamics, respectively. To address this gap, this study characterised key differences among 124 students’ procedural and social behaviours according to their perceived stress, collaboration, and task satisfaction during a complex group task using wearable positioning sensors and ordered networked analysis. The results revealed that students who demonstrated more collaborative behaviours were associated with lower stress and higher collaboration satisfaction. Interestingly, students who worked individually on the primary and secondary learning tasks reported lower and higher task satisfaction, respectively. These findings can deepen our understanding of students’ individual-level behaviours and experiences while learning in groups. 

   more » « less
2. Building a reinforcement learning environment from limited data to optimize teachable robot interventions.

   Maidment, T.; Yu, M.; Lobczowski, N. G; Kovashka, A.; Walker, E.; Litman, D.; & Nokes-Malach, T. (January 2022, Proceedings of the 15th International Conference on Educational Data Mining)

   Mitrovic, A.; & Bosch, N. (Ed.)

   Working collaboratively in groups can positively impact performance and student engagement. Intelligent social agents can provide a source of personalized support for students, and their benefits likely extend to collaborative settings, but it is difficult to determine how these agents should interact with students. Reinforcement learning (RL) offers an opportunity for adapting the interactions between the social agent and the students to better support collaboration and learning. However, using RL in education with social agents typically involves training using real students. In this work, we train an RL agent in a high-quality simulated environment to learn how to improve students’ collaboration. Data was collected during a pilot study with dyads of students who worked together to tutor an intelligent teachable robot. We explore the process of building an environment from the data, training a policy, and the impact of the policy on different students, compared to various baselines. 

   more » « less
3. Socio-technical Constraints and Affordances of Virtual Collaboration - A Study of Four Online Hackathons

   https://doi.org/10.1145/3555221  

   Mendes, Wendy; Richard, Albert; Tillo, Tähe-Kai; Pinto, Gustavo; Gama, Kiev; Nolte, Alexander (November 2022, Proceedings of the ACM on Human-Computer Interaction)

   Hackathons and similar time-bounded events have become a popular form of collaboration in various domains. They are commonly organized as in-person events during which teams engage in intense collaboration over a short period of time to complete a project that is of interest to them. Most research to date has thus consequently focused on studying how teams collaborate in a co-located setting, pointing towards the advantages of radical co-location. The global pandemic of 2020, however, has led to many hackathons moving online, which challenges our current understanding of how they function. In this paper, we address this gap by presenting findings from a multiple-case study of 10 hackathon teams that participated in 4 hackathon events across two continents. By analyzing the collected data, we found that teams merged synchronous and asynchronous means of communication to maintain a common understanding of work progress as well as to maintain awareness of each other's tasks. Task division was self-assigned based on individual skills or interests, while leaders emerged from different strategies (e.g., participant experience, the responsibility of registering the team in an event). Some of the affordances of in-person hackathons, such as the radical co-location of team members, could be partially reproduced in teams that kept open synchronous communication channels while working (i.e., shared audio territories), in a sort of "radical virtual co-location". However, others, such as interactions with other teams, easy access to mentors, and networking with other participants, decreased. In addition, the technical constraints of the different communication tools and platforms brought technical problems and were overwhelming to participants. Our work contributes to understanding the virtual collaboration of small teams in the context of online hackathons and how technologies and event structures proposed by organizers imply this collaboration. 

   more » « less
4. Working Together Apart through Embodiment: Engaging in Everyday Collaborative Activities in Social Virtual Reality

   https://doi.org/10.1145/3492836  

   Freeman, Guo; Acena, Dane; McNeese, Nathan J.; Schulenberg, Kelsea (January 2022, Proceedings of the ACM on Human-Computer Interaction)

   Computer-mediated collaboration has long been a core research interest in CSCW and HCI. As online social spaces continue to evolve towards more immersive and higher fidelity experiences, more research is still needed to investigate how emerging novel technology may foster and support new and more nuanced forms and experiences of collaboration in virtual environments. Using 30 interviews, this paper focuses on what people may collaborate on and how they collaborate in social Virtual Reality (VR). We broaden current studies on computer-mediated collaboration by highlighting the importance of embodiment for co-presence and communication, replicating offline collaborative activities, and supporting the seamless interplay of work, play, and mundane experiences in everyday lives for experiencing and conceptualizing collaboration in emerging virtual environments. We also propose potential design implications that could further support everyday collaborative activities in social VR 

   more » « less
5. Engineering technology, anthropology, and business: Reflections of graduate student researchers in the pursuit of transdisciplinary learning

   Martinez, R; Lucas, D (June 2024, American Society of Engineering Education)

   To pursue transdisciplinary education, bringing together different disciplinary perspectives is necessary. As two graduate researchers, in engineering technology and anthropology, on a National Science Foundation (NSF) Improving Undergraduate STEM Education research project, we want to embody and explore our role in the journey to pursue transdisciplinary education. Our familiarity with higher education as students, our different disciplinary backgrounds and lived experiences, and our training as an engineering technology educator and a social scientist contribute greatly to the advancement of understanding the project. Harnessing our combined expertise enables us to see collaborative co-teaching, group learning, and student engagement in new ways. Often transdisciplinary education research is approached from siloed disciplines or from a single perspective and not inclusive of graduate students' perspectives. We find ourselves working on a collaborative cross-college project between three different colleges, Business, Engineering Technology, and Liberal Arts, where faculty and students are co-teaching and co-learning in a series of design and innovation courses. A key element of this project is gathering and using stakeholder data from students, faculty, and administrators. Midway through our three-year project, the NSF project’s external reviewer highlighted the crucial value added of having graduate researchers looking at transforming higher education towards transdisciplinarity. With that in mind, we offer some guiding thoughts about collaborative research among graduate students and faculty from different academic disciplines. This includes tips on how we collaborated in coding, analysis, and data presentations. Using project examples, we will discuss how we used tools for collaboration such as NVivo Teams and Microsoft Teams; these platforms aided in contributing to the iterative research design of this project and research outputs. Our process was strengthened by active participation in project meetings with faculty, educational community events, and data review sessions to reach data consensus. We have noticed how transdisciplinarity can transform undergraduate learning and encourage cross-college faculty collaboration. We will reflect on the significance of collaboration at all levels of higher education. Furthermore, this experience has set us on the path to becoming transdisciplinary scholars ourselves. 

   more » « less