Abstract
Extended reality technologies such as headset-based augmented reality (AR) unlock unique opportunities to integrate gestures into the collaborative problem-solving process. The following qualitative study documents the collection and analysis of group interaction data in an astronomy sky simulation across AR and tablet technologies in a classroom setting. A total of 15 groups were coded for episodes of on-task problem-solving, conceptual engagement, and use of gesture. Analysis of coded interactions assisted in identifying vignettes facilitating exploration, orientation, perspective sharing, and communication of mental models. In addition, the use of gesture by some groups enabled the creation of shared situated conceptual spaces, bridging the AR and tablet experiences and facilitating collaborative exchange of spatial information. The patterns of gesture and collaborative knowledge interactions documented here have implications for the design of future collaborative learning environments leveraging extended reality technologies.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Alibali, M. W. (2005). Gesture in spatial cognition: Expressing, communicating, and thinking about spatial information. Spatial Cognition and Computation, 5(4), 307–331.
Andrews, J. J., John Chamberlain, C. O. R. D., Koon, A., & von Davier, A. A. (2017). Designing simulations for evaluating collaborative problem solving in electronics. Making a Difference: Prioritizing Equity and Access in (CSCL) 2017, Volume 1. Philadelphia, PA: International Society of the Learning Sciences.
Arici, F., Yildirim, P., Caliklar, Ş., & Yilmaz, R. M. (2019). Research trends in the use of augmented reality in science education: Content and bibliometric mapping analysis. Computers & Education, 142, 103647. https://doi.org/10.1016/j.compedu.2019.103647
Barron, B. (2003). When smart groups fail. Journal of the Learning Sciences, 12(3), 307–359. https://doi.org/10.1207/S15327809JLS1203_1
Barron, B., & Darling-Hammond, L. (2008). How can we teach for meaningful learning. Powerful Learning: What We Know about Teaching for Understanding, 1, 11–16.
Barsalou, L. W. (2010). Grounded cognition: Past, present, and future. Topics in Cognitive Science, 2(4), 716–724. https://doi.org/10.1111/j.1756-8765.2010.01115.x
Borge, M., Ong, Y. S., & Rosé, C. P. (2018). Learning to monitor and regulate collective thinking processes. International Journal of Computer-Supported Collaborative Learning, 1–32. https://doi.org/10.1007/s11412-018-9270-5
Bork, F., Lehner, A., Eck, U., Navab, N., Waschke, J., & Kugelmann, D. (2021). The effectiveness of collaborative augmented reality in gross anatomy teaching: A quantitative and qualitative pilot study. Anatomical Sciences Education, 14(5), 590–604. https://doi.org/10.1002/ase.2016
Chen, P., Liu, X., Cheng, W., & Huang, R. (2017). A review of using augmented reality in education from 2011 to 2016. In Innovations in Smart Learning (pp. 13–18). Springer. https://doi.org/10.1007/978-981-10-2419-1_2
Chen, W., Looi, C.-K., & Tan, S. (2010). What do students do in a F2F CSCL classroom? The optimization of multiple communications modes. Computers & Education, 55(3), 1159–1170. https://doi.org/10.1016/j.compedu.2010.05.013
Chen, Y., Andrews, C. D., Hmelo-Silver, C. E., & D’Angelo, C. (2019). Coding schemes as lenses on collaborative learning. Information and Learning Sciences, 121(1/2), 1–18. https://doi.org/10/ghjtht
Chin, C., & Chia, L. G. (2006). Problem-based learning: Using ill-structured problems in biology project work. Science Education, 90(1), 44–67. https://doi.org/10.1002/sce.20097
Cohen, A. D. (1994). Assessing language ability in the classroom. Heinle and Heinle.
Crowder, E. M. (1996). Gestures at work in sense-making science talk. Journal of the Learning Sciences, 5(3), 173–208. https://doi.org/10.1207/s15327809jls0503_2
Danish, J. A., Enyedy, N., Saleh, A., & Humburg, M. (2020). Learning in embodied activity framework: A sociocultural framework for embodied cognition. International Journal of Computer-Supported Collaborative Learning, 15(1), 49–87. https://doi.org/10/gmhjh9
DeSutter, D., & Stieff, M. (2017). Teaching students to think spatially through embodied actions: Design principles for learning environments in science, technology, engineering, and mathematics. Cognitive Research, 2(1). https://doi.org/10.1186/s41235-016-0039-y
Diegmann, P., Schmidt-Kraepelin, M., Eynden, S., & Basten, D. (2015). Benefits of augmented reality in educational environments-a systematic literature review. Wirtschaftsinformatik Proceedings (2015), pp. 1542–1556
Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10/gctkrm
Gallagher, S. (2006). How the body shapes the mind. Clarendon Press.
Glenberg, A. M. (2010). Embodiment as a unifying perspective for psychology. Wiley Interdisciplinary Reviews: Cognitive Science, 1(4), 586–596. https://doi.org/10.1002/wcs.55
Hakkarainen, K., Paavola, S., Kangas, K., & Seitamaa-Hakkarainen, P. (2013). Sociocultural perspectives on collaborative learning: Toward collaborative knowledge creation. In The International Handbook of Collaborative Learning (pp. 57–73). Routledge.
Hesse, F., Care, E., Buder, J., Sassenberg, K., & Griffin, P. (2015). A framework for teachable collaborative problem solving skills. In Assessment and Teaching of 21st Century Skills (pp. 37–56). Springer Netherlands. https://doi.org/10.1007/978-94-017-9395-7_2
Horwitz, P., von Davier, A., Chamberlain, J., Koon, A., Andrews, J., & McIntyre, C. (2017). Teaching teamwork: Electronics instruction in a collaborative environment. Community College Journal of Research and Practice, 41(6), 341–343.
Hung, W., Jonassen, D. H., Liu, R., et al. (2008). Problem-based learning. Handbook of Research on Educational Communications and Technology, 3(1), 485–506.
Ibáñez, M.-B., & Delgado-Kloos, C. (2018). Augmented reality for STEM learning: A systematic review. Computers & Education, 123, 109–123. https://doi.org/10/gdvxnd
Johri, A., Williams, C., & Pembridge, J. (2013). Creative collaboration: A case study of the role of computers in supporting representational and relational interaction in student engineering design teams. International Journal of Engineering Education, 29(1), 33–44.
Kang, S., Tversky, B., & Black, J. B. (2015). Coordinating gesture, word, and diagram: Explanations for experts and novices. Spatial Cognition & Computation, 15(1), 1–26. https://doi.org/10.1080/13875868.2014.958837
Kerr, N. L., & Tindale, R. S. (2004). Group performance and decision making. Annual Review of Psychology, 55, 623–655.
Kozlowski, S. W., & Ilgen, D. R. (2006). Enhancing the effectiveness of work groups and teams. Psychological Science in the Public Interest, 7(3), 77–124.
Kreijns, K., Kirschner, P. A., & Jochems, W. (2003). Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: A review of the research. Computers in Human Behavior, 19(3), 335–353.
Lawrence, L., & Mercier, E. (2019). A review of the evolving definition of orchestration: Implications for research and design. Computer-Supported Collaborative Learning Conference, CSCL, 2, 829–830. https://doi.org/10.22318/CSCL2019.829
Lindgren, R., & Johnson-Glenberg, M. (2013). Emboldened by embodiment: Six precepts for research on embodied learning and mixed reality. Educational Researcher, 42(8), 445–452.
Lindgren, R., Wallon, R. C., Brown, D. E., Mathayas, N., & Kimball, N. (2016). “Show me” what you mean: Learning and design implications of eliciting gesture in student explanations In Looi, C. K., Polman, J. L., Cress, U., and Reimann, P. (Eds.). Transforming Learning, Empowering Learners: The International Conference of the Learning Sciences (ICLS) 2016, Volume 2. Singapore: International Society of the Learning Sciences.
Mathayas, N., Brown, D. E., & Lindgren, R. (2021). “I got to see, and I got to be a part of it”: How cued gesturing facilitates middle-school students’ explanatory modeling of thermal conduction. Journal of Research in Science Teaching, 58(10), 1557–1589. https://doi.org/10.1002/tea.21718
McNeill, D. (1998). Speech and gesture integration. New Directions for Child and Adolescent Development, 1998(79), 11–27.
Menekse, M., & Chi, M. T. H. (2019). The role of collaborative interactions versus individual construction on students’ learning of engineering concepts. European Journal of Engineering Education, 44(5), 702–725. https://doi.org/10.1080/03043797.2018.1538324
Mercier, E., Vourloumi, G., & Higgins, S. (2017). Student interactions and the development of ideas in multi-touch and paperbased collaborative mathematical problem solving. British Journal of Educational Technology, 48(1), 162–175. https://doi.org/10.1111/bjet.12351
Mercier, E., & Higgins, S. (2015). The four Ts of the collaborative classroom. CSCL 2015.
Mercier, E., & Higgins, S. (2014). Creating joint representations of collaborative problem solving with multi-touch technology. Journal of Computer Assisted Learning, 30(6), 497–510. https://doi.org/10.1111/jcal.12052
Miyake, N., & Shirouzu, H. (2019). Understanding and scaffolding constructive collaboration. In Proceedings of the twenty-fourth annual conference of the cognitive science society (pp. 48–48). Routledge.
Nathan, M. J. (2012). Rethinking formalisms in formal education. Educational Psychologist, 47(2), 125–148. https://doi.org/10.1080/00461520.2012.667063
NGSS Lead States. (2013). Next generation science standards: For states, by states. The National Academies Press.
Ngo, T., Unsworth, L., & Herrington, M. (2022). Teacher orchestration of language and gesture in explaining science concepts in images. Research in Science Education, 52(3), 1013–1030. https://doi.org/10.1007/s11165-021-10011-z
Nokes-Malach, T. J., Zepeda, C. D., Richey, J. E., & Gadgil, S. (2019). Collaborative learning: the benefits and costs. In The Cambridge Handbook of Cognition and Education (pp. 500–527). Cambridge University Press. https://doi.org/10.1017/9781108235631.021
Nokes-Malach, T. J., Richey, J. E., & Gadgil, S. (2015). When is it better to learn together? Insights from research on collaborative learning. Educational Psychology Review, 27(4), 645–656.Chicago
O’Donnell, A. M. (2006). The role of peers and group learning. In P. A. Alexander & P. H. Winne (Eds.), Handbook of educational psychology (pp. 781–802). Lawrence Erlbaum Associates Publishers.
Pazos, P., Ringleb, S. I., Kidd, J., & Jones, R. (2019). Scaffolding project-based learning in an engineering and education partnership using open-access technology. International Journal of Engineering Education, 35(5), 1306–1315.
Plummer, J. D., Bower, C. A., & Liben, L. S. (2016). The role of perspective taking in how children connect reference frames when explaining astronomical phenomena. International Journal of Science Education, 38(3), 345–365. https://doi.org/10.1080/09500693.2016.1140921
Roschelle, J. (1992). Learning by collaborating: Convergent conceptual change. Journal of the Learning Sciences, 2(3), 235–276. https://doi.org/10.1207/s15327809jls0203_1
Roth, W.-M., & Lawless, D. (2002). Scientific investigations, metaphorical gestures, and the emergence of abstract scientific concepts. Learning and Instruction, 12(3), 285–304. https://doi.org/10.1016/S0959-4752(01)00023-8
Schiffeler, N., & Stehling, V., & Hees, F., & Isenhardt, I. (2019). Effects of collaborative augmented reality on communication and interaction in learning contexts – Results of a Qualitative Pre-Study Paper presented at 2019 ASEE Annual Conference & Exposition, Tampa, Florida. https://doi.org/10.18260/1-2--32694
Shapiro, L., & Stolz, S. A. (2018). Embodied cognition and its significance for education. Theory and Research in Education, 1477878518822149. https://doi.org/10.1177/1477878518822149
Shapiro, L. (2019). Embodied cognition. Routledge. https://doi.org/10.4324/9781315180380
Shehab, S., & Mercier, E. (2020). Exploring the relationship between the types of interactions and progress on a task during collaborative problem solving. In I. S. Horn & M. Gresalfi (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (Vol. 3, pp. 1285–1292). International Society of the Learning Sciences (ISLS). https://repository.isls.org//handle/1/6326
Shin, N., Jonassen, D. H., & McGee, S. (2003). Predictors of well-structured and ill-structured problem solving in an astronomy simulation. Journal of Research in Science Teaching, 40(1), 6–33. https://doi.org/10.1002/tea.10058
Steier, R., Kersting, M., & Silseth, K. (2019). Imagining with improvised representations in CSCL environments. International Journal of Computer-Supported Collaborative Learning, 14(1), 109–136. https://doi.org/10.1007/s11412-019-09295-1
Stieff, M., Lira, M. E., & Scopelitis, S. A. (2016). Gesture supports spatial thinking in STEM. Cognition and Instruction, 34(2), 80–99. https://doi.org/10/ggcpwg
Tenenberg, J. (2019). Factors affecting free riding on teams: Implications for engineering education. International Journal of Engineering Education, 35(6A), 1703–1724.
Villanueva, A., Zhu, Z., Liu, Z., Peppler, K., Redick, T., & Ramani, K. (2020). Meta-AR-App: An authoring platform for collaborative augmented reality in STEM classrooms. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–14. https://doi.org/10.1145/3313831.3376146
Volet, S., Summers, M., & Thurman, J. (2009). High-level co-regulation in collaborative learning: How does it emerge and how is it sustained? Learning and Instruction, 19(2), 128–143. https://doi.org/10.1016/j.learninstruc.2008.03.001
Vygotsky, L. S. (1978). Mind and society: The development of higher mental processes. Harvard University Press.
Webb, N. M. (2013). Collaboration in the classroom. In International guide to student achievement (pp. 215–217). Routledge.
Whitelock, D., & Scanlon, E. (1998). The roles of gaze, gesture and gender in CSCL. Journal of Computer Assisted Learning, 14(2), 158–165. https://doi.org/10.1046/j.1365-2729.1998.1420158.x
Wilson, M. (2002). Six views of embodied cognition. Psychonomic Bulletin & Review, 9(4), 625–636. https://doi.org/10.3758/BF03196322
Acknowledgements
This material is based upon work supported by the National Science Foundation under Grant No.#1822796. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. We would like to thank the entire CEASAR staff for making this study possible, particularly Nathan Kimball and his team at Concord Consortium.
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Planey, J., Rajarathinam, R.J., Mercier, E. et al. Gesture-mediated collaboration with augmented reality headsets in a problem-based astronomy task. Intern. J. Comput.-Support. Collab. Learn 18, 259–289 (2023). https://doi.org/10.1007/s11412-023-09398-w
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DOI: https://doi.org/10.1007/s11412-023-09398-w