Abstract
Enabled by technological innovations and evolving theories of cognition, embodied learning designs have proliferated over the last few decades. Collaborative tasks in particular offer rich learning opportunities as learners overtly coordinate and negotiate their work. However, less attention has been paid to the ways in which social relationships among participants—be they strangers, friends, or family members—can shape and constrain their movement and learning opportunities. I propose a five-part framework to characterize participants’ physical proximity, a marker of familiarity. I demonstrate the efficacy of this framework by using it to analyze video recordings of 41 dyads of families, friends, and strangers as they work on a body-scale geometry and spatial reasoning exhibit at a science museum. Findings suggest that all dyads established successful collaborative movement patterns, though strangers shared space and established physical touch markedly less than family members and friends. Considering these patterns in the design of other collaborative embodied learning activities could create a more comfortable and supportive environment for learners to move and learn together. The analytic framework could also inform the design and evaluation of other movement-based collaborative educational activities.
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Vossoughi et al. (2020) pursues this research direction, though they focus less on design implications.
As Goodwin (1995) notes, co-operation does not always imply a shared goal, such as when children compete against one another or raise a dispute.
All names are pseudonyms.
*So long as the dyad played additional levels, practice levels lasting less than 1 min were not counted as a first round of play. Six dyads were were affected.
References
Abrahamson, D. (2009). Embodied design: Constructing means for constructing meaning. Educational Studies in Mathematics, 70(1), 27–47.
Abrahamson, D. (2014). Building educational activities for understanding: An elaboration on the embodied-design framework and its epistemic grounds. International Journal of Child-Computer Interaction, 2(1), 1–16.
Adachi, T., Goseki, M., Muratsu, K., Mizoguchi, H., Namatame, M., Sugimoto, & M., Takeda, Y. (2013). Human SUGOROKU: Full-body interaction system for students to learn vegetation succession. In Proceedings of the 12th international conference on interaction design and children.
Alberto, R., Shvarts, A., Drijvers, P., & Bakker, A. (2021). Action-based embodied design for mathematics learning: A decade of variations on a theme. International Journal of Child-Computer Interaction, 100419.
Angelillo, C., Rogoff, B., & Chavajay, P., et al. (2007). Examining shared endeavors by abstracting video coding schemes with fidelity to cases. In R. Goldman (Ed.), Video research in the learning sciences (pp. 189–206). Taylor and Francis.
Bernieri, F. J. (1988). Coordinated movement and rapport in teacher-student interactions. Journal of Nonverbal Behavior, 12(2), 120–138.
Brignull, H., & Rogers, Y. (2003). Enticing people to interact with large public displays in public spaces. In Human–computer interaction—INTERACT’03
Carreras, A., & Parés, N. (2009). Designing an interactive installation for children to experience abstract concepts. In J. A. Macias (Ed.), New trends on human–computer interaction (pp. 33–42). Springer.
Cekaite, A., & Goodwin, M. H. (2021). Touch and social interaction. Annual Review of Anthropology, 50, 203–218.
Chen, R., Ninh, A., & Yu, B. (2020). Magical musical mat: Augmenting communication with touch and music. In INSAR 2020 virtual meeting
Chorney, S., & Sinclair, N. (2018). Fingers-on geometry: The emergence of symmetry in a primary school classroom with multi-touch dynamic geometry. In N. Calder (Ed.), Using mobile technologies in the teaching and learning of mathematics (pp. 213–230). Springer.
Danish, J. A., Enyedy, N., Saleh, A., Lee, C., & Andrade, A. (2015). Science through technology enhanced play: Designing to support reflection through play and embodiment.
Enyedy, N., Danish, J. A., & DeLiema, D. (2015). Liminal blends: How students blend symbols, experiences, and their own bodies together in order to co-construct meaning in a collaborative augmented reality learning environment. International Journal of Computer Supported Collaborative Learning, 10(1), 7–34.
Goodwin, M. H. (1995). Co-construction in girls’ hopscotch. Research on Language and Social Interaction, 28(3), 261–281.
Goodwin, M. H., & Cekaite, A. (2018). Embodied family choreography: Practices of control, care, and mundane creativity. Routledge.
Guo, E., Katila, J., & Streeck, J. (2020). Touch and the fluctuation of agency and motor control in pediatric dentistry. Social Interaction. Video-based studies of human sociality, 3(1).
Hall, E. T., Birdwhistell, R. L., Bock, B., Bohannan, P., Diebold, A. R., Jr., Durbin, M., et al. (1968). Proxemics. Current Anthropology, 9(2/3), 83–108.
Himberg, T., Laroche, J., Bigé, R., Buchkowski, M., & Bachrach, A. (2018). Coordinated interpersonal behaviour in collective dance improvisation: The aesthetics of kinaesthetic togetherness. Behavioral Sciences, 8(2), 23.
Hornecker, E. (2008). “I don’t understand it either, but it is cool”—Visitor interactions with a multi-touch table in a museum. In IEEE international workshop on horizontal interactive human computer systems.
Huang, E. M., & Mynatt, E. D. (2003). Semi-public displays for small, co-located groups. In Proceedings of the SIGCHI conference on Human factors in computing systems.
Jacucci, G., Morrison, A., Richard, G. T., Kleimola, J., Peltonen, P., Parisi, L., & Laitinen, T. (2010). Worlds of information: Designing for engagement at a public multi-touch display. In SIGCHI conference on human factors in computing systems.
Kendon, A. (1976). The F-formation system: The spatial organization of social encounters. Man-Environment Systems, 6(01), 1976.
Kendon, A., et al. (2010). Spacing and orientation in co-present interaction. In A. Esposito (Ed.), Development of multimodal interfaces: Active listening and synchrony (pp. 1–15). Springer.
Knoblich, G., Butterfill, S., & Sebanz, N. (2011). Psychological research on joint action: Theory and data. Psychology of Learning and Motivation, 54, 59–101.
Laroche, J., Berardi, A. M., & Brangier, E. (2014). Embodiment of intersubjective time: Relational dynamics as attractors in the temporal coordination of interpersonal behaviors and experiences. Frontiers in Psychology, 5, 1180.
Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press.
Lee, W.-J., Huang, C.-W., Wu, C.-J., Huang, S.-T., & Chen, G.-D. (2012). The effects of using embodied interactions to improve learning performance. In IEEE 12th international conference on advanced learning technologies (ICALT)
Ma, J. Y. (2016). Designing disruptions for productive hybridity: The case of walking scale geometry. Journal of the Learning Sciences, 25(3), 335–371.
Marshall, P., Fleck, R., Harris, A., Rick, J., Hornecker, E., Rogers, Y., et al. (2009). Fighting for control: Children's embodied interactions when using physical and digital representations. In Proceedings of the SIGCHI conference on human factors in computing systems
Marshall, P., Morris, R., Rogers, Y., Kreitmayer, S., & Davies, M. (2011). Rethinking 'multi-user’: An in-the-wild study of how groups approach a walk-up-and-use tabletop interface. In SIGCHI conference on human factors in computing systems
Mickelson, J., & Ju, W. (2011). Math propulsion: Engaging math learners through embodied performance and visualization. In Tangible, embedded, and embodied interaction
Miles, L. K., Nind, L. K., & Macrae, C. N. (2009). The rhythm of rapport: Interpersonal synchrony and social perception. Journal of Experimental Social Psychology, 45(3), 585–589.
Mogan, R., Fischer, R., & Bulbulia, J. A. (2017). To be in synchrony or not? A meta-analysis of synchrony’s effects on behavior, perception, cognition and affect. Journal of Experimental Social Psychology, 72, 13–20.
Mueller, F. F., Gibbs, M. R., Vetere, F., & Edge, D. (2017). Designing for bodily interplay in social exertion games. ACM Transactions on Computer-Human Interaction (TOCHI), 24(3), 24.
Nasir, N. S. (2005). Individual cognitive structuring and the socialcultural context: Strategy shifts in the game of dominoes. Journal of the Learning Sciences, 14(1), 5–34. https://doi.org/10.1207/s15327809jls1401_2
Nishizaka, A. (2017). The perceived body and embodied vision in interaction. Mind, Culture, and Activity, 24(2), 110–128.
Papert, S. (1980). Mindstorms: Children, computers, and powerful ideas. Basic Books Inc.
Peltonen, P., Kurvinen, E., Salovaara, A., Jacucci, G., Ilmonen, T., Evans, J., et al. (2008). It's mine, don't touch! Interactions at a large multi-touch display in a city centre. In SIGCHI conference on human factors in computing systems
Peppler, K. (2017). The SAGE encyclopedia of out-of-school learning. Sage Publications.
Radford, L. (2003). Gestures, speech, and the sprouting of signs: A semiotic-cultural approach to students’ types of generalization. Mathematical Thinking and Learning, 5(1), 37–70.
Richardson, M. J., Marsh, K. L., Isenhower, R. W., Goodman, J. R., & Schmidt, R. C. (2007). Rocking together: Dynamics of intentional and unintentional interpersonal coordination. Human Movement Science, 26(6), 867–891.
Rogoff, B. (2014). Learning by observing and pitching in to family and community endeavors: An orientation. Human Development, 57, 69–81.
Roschelle, J. (1992). Learning by collaborating: Convergent conceptual change. The Journal of the Learning Sciences, 2(3), 235–276.
Rosenbaum, L. F., Kaur, J., & Abrahamson, D. (2020). Shaping perception: Designing for participatory facilitation of collaborative geometry. Digital Experiences in Mathematics Education, 6(2), 191–212. https://doi.org/10.1007/s40751-020-00068-2
Rosenberg, S., Hammer, D., & Phelan, J. (2006). Multiple epistemological coherences in an eighth-grade discussion of the rock cycle. The Journal of the Learning Sciences, 15(2), 261–292.
Schmitz, L., Vesper, C., Sebanz, N., & Knoblich, G. (2017). Co-representation of others’ task constraints in joint action. Journal of Experimental Psychology: Human Perception and Performance, 43(8), 1480.
Scott, S. D., Carpendale, M. S. T., & Inkpen, K. (2004). Territoriality in collaborative tabletop workspaces. In ACM conference on computer supported cooperative work
Sebanz, N., Bekkering, H., & Knoblich, G. (2006). Joint action: Bodies and minds moving together. Trends in Cognitive Sciences, 10(2), 70–76.
Sheets-Johnstone, M. (2017). Moving in concert. Choros International Dance Journal, 6, 1–19.
Shvarts, A., & Abrahamson, D. (2019). Dual-eye-tracking Vygotsky: A microgenetic account of a teaching/learning collaboration in an embodied-interaction technological tutorial for mathematics. Learning, Culture, and Social Interaction, 22, 100316.
Tse, E., Histon, J., Scott, S. D., & Greenberg, S. (2004). Avoiding interference: How people use spatial separation and partitioning in SDG workspaces. In ACM conference on computer supported cooperative work
Vaziri-Pashkam, M., Cormiea, S., & Nakayama, K. (2017). Predicting actions from subtle preparatory movements. Cognition, 168, 65–75.
Vogelstein, L., Brady, C., & Hall, R. (2019). Reenacting mathematical concepts found in large-scale dance performance can provide both material and method for ensemble learning. ZDM, 51(2), 331–346. https://doi.org/10.1007/s11858-019-01030-2
Vossoughi, S., Jackson, A., Chen, S., Roldan, W., & Escudé, M. (2020). Embodied pathways and ethical trails: Studying learning in and through relational histories. Journal of the Learning Sciences, 29(2), 183–223.
Weddle, A. B., & Hollan, J. D. (2010). Scaffolding embodied practices in professional education. Mind, Culture and Activity, 17(2), 119–148.
Wilson, M. (2002). Six views of embodied cognition. Psychonomic Bulletin and Review, 9(4), 625–636.
Zohar, R., Bagno, E., Eylon, B.-S., & Abrahamson, D. (2018). Motor skills, creativity, and cognition in learning physics concepts. Functional Neurology, Rehabilitation, and Ergonomics, 7, 67–76.
Acknowledgements
Geometris was collaboratively designed and created by Elena Durán-López, Ganesh V. Iyer, and Leah F. Rosenbaum, with significant guidance from Professors Kimiko Ryokai and Noura Howell. The ideas presented in this paper were workshopped and refined with Professor Dor Abrahamson and members of his Embodied Design Research Laboratory at the University of California, Berkeley. This work is indebted to members of the exhibit staff at the Lawrence Hall of Science as well as to the anonymous reviewers whose feedback helped focus and improve the manuscript.
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Rosenbaum, L.F. Move with whom? A framework for analyzing collaboration within embodied learning activities. Learning Environ Res 27, 353–372 (2024). https://doi.org/10.1007/s10984-023-09483-9
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DOI: https://doi.org/10.1007/s10984-023-09483-9