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Classroom Analytics: Telling Stories About Learning Spaces Using Sensor Data

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Hybrid Learning Spaces

Part of the book series: Understanding Teaching-Learning Practice ((UTLP))

Abstract

The increasing use of interactive devices and networked technologies is blurring the boundaries of the physical classroom by enabling learners and teachers to connect with digital content, systems and people located elsewhere. An underexplored opportunity enabled by emerging sensors and classroom technologies is that multimodal data traces of physical classroom activity can be automatically captured and rendered visible with the purpose of supporting teaching and learning. Positioning and proximity sensor data can be used (1) to generate a deeper understanding of embodied aspects of learning and spatial aspects of instruction, and (2) to provide evidence that enable assessment of effectiveness of the design of physical spaces in education. This chapter presents three data stories that illustrate potential emerging contributions of multimodal classroom analytics to enable new ways to study the teaching and learning processes that unfold in physical learning spaces. Through these stories, we illustrate how analytics for classroom proxemics can enable: (1) the creation of interfaces that provide feedback to learners and educators about activity in the physical classroom; (2) new ways to assess pedagogical activity in learning spaces to inform space re-design or co-configuration; and (3) new approaches to speed up analysis cycles that currently depend on classroom observations.

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References

  • Ahuja, K., Kim, D., Xhakaj, F., Varga, V., Xie, A., Zhang, S., …Agarwal, Y. (2019). Edusense: Practical classroom sensing at scale. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(3), 1–26.

    Google Scholar 

  • An, P., Bakker, S., Ordanovski, S., Paffen, C. L., Taconis, R., & Eggen, B. (2020). Dandelion diagram: Aggregating positioning and orientation data in the visualization of classroom proxemics. In Chi’20 extended abstracts (pp. 1–8).

    Google Scholar 

  • An, P., Bakker, S., Ordanovski, S., Taconis, R., & Eggen, B. (2018). Classbeacons: Designing distributed visualization of teachers’ physical proximity in the classroom. In Proceedings of the International Conference on Tangible, Embedded, and Embodied Interaction (pp. 357–367). ACM.

    Google Scholar 

  • Barnard, H. (1854). Practical illustrations of the principles of school architecture. Norton.

    Google Scholar 

  • Bell, S. (2010). Project-based learning for the 21st century: Skills for the future. The Clearing House, 83(2), 39–43.

    Article  Google Scholar 

  • Bosch, N., Mills, C., Wammes, J. D., & Smilek, D. (2018). Quantifying classroom instructor dynamics with computer vision. In Proceedings of the International Conference on Artificial Intelligence in Education (pp. 30–42). Springer.

    Google Scholar 

  • Buckingham Shum, S., & Crick, R. D. (2016). Learning analytics for 21st century competencies. Journal of Learning Analytics, 3(2), 6–21.

    Article  Google Scholar 

  • Cardellino, P., Araneda, C., & Alvarado, R. G. (2017). Classroom environments: an experiential analysis of the pupil–teacher visual interaction in uruguay. Learning Environments Research, 20(3), 417–431.

    Article  Google Scholar 

  • Chin, H. B., Mei, C. C. Y., & Taib, F. (2017). Instructional proxemics and its impact on classroom teaching and learning. International Journal of Modern Languages and Applied Linguistics, 1(1), 1–20.

    Google Scholar 

  • Chng, E., Seyam, R., Yao, W., & Schneider, B. (2020). Examining the type and diversity of student social interactions in makerspaces using motion sensors. In Proceedings of the International Conference on Artificial Intelligence in Education (pp. 118–128). Springer.

    Google Scholar 

  • Chua, Y. H. V., Dauwels, J., & Tan, S. C. (2019). Technologies for automated analysis of co-located, real-life, physical learning spaces: Where are we now? In Proceedings of the 9th International Conference on Learning Analytics & Knowledge (pp. 11–20). ACM. https://doi.org/10.1145/3303772.3303811

  • Cohen, A., Nørgård, R. T., & Mor, Y. (2020). Hybrid learning spaces—design, data, didactics. British Journal of Educational Technology, 51(4), 1039–1044.

    Article  Google Scholar 

  • Cook, J., Mor, Y., & Santos, P. (2020). Three cases of hybridity in learning spaces: Towards a design for a zone of possibility. British Journal of Educational Technology, 51(4), 1155–1167.

    Article  Google Scholar 

  • Danesi, M. (2006). Proxemics. In K. Brown (Ed.), Encyclopedia of language linguistics (2nd ed., pp. 241–243). Elsevier.

    Google Scholar 

  • Dillenbourg, P., Zufferey, G., Alavi, H. S., Jermann, P., Do, L. H. S., Bonnard, Q., et al. (2011). Classroom orchestration: The third circle of usability. In Proceedings of the international conference on computer-supported collaborative learning (Vol. 1, pp. 510–517).

    Google Scholar 

  • Eberts, E. H., & Lepper, M. R. (1975). Individual consistency in the proxemic behavior of preschool children. Journal of Personality and Social Psychology, 32(5), 841.

    Article  Google Scholar 

  • Echeverria, V., Martinez-Maldonado, R., Power, T., Hayes, C., & Shum, S. B. (2018). Where is the nurse? Towards automatically visualising meaningful team movement in healthcare education. In Proceedings of the International Conference on Artificial Intelligence in Education (pp. 74–78). Springer.

    Google Scholar 

  • Ellis, R. A., & Goodyear, P. (2016). Models of learning space: integrating research on space, place and learning in higher education. Review of Education, 4(2), 149–191.

    Article  Google Scholar 

  • Fernandes, A. C., Huang, J., & Rinaldo, V. (2011). Does where a student sits really matter?-the impact of seating locations on student classroom learning. International Journal of Applied Educational Studies, 10(1), 66–77.

    Google Scholar 

  • Fernandez Nieto, G., Martinez-Maldonado, R., Echeverria, V., Kitto, K., An, P., & Buckingham Shum, S. (2021). What can analytics for teamwork proxemics reveal about positioning dynamics in clinical simulations? Proceedings of the ACM on Human-Computer Interaction, 5, Article No. 185. https://doi.org/10.1145/3449284

  • Gašević, D., Zouaq, A., & Janzen, R. (2013). Choose your classmates, your GPA is at stake! the association of cross-class social ties and academic performance. American Behavioral Scientist, 57(10), 1460–1479.

    Article  Google Scholar 

  • Goodyear, P. (2020). Design and co-configuration for hybrid learning: Theorising the practices of learning space design. British Journal of Educational Technology, 51(4), 1045–1060.

    Article  Google Scholar 

  • Goodyear, P., & Carvalho, L. (2014). Framing the analysis of learning network architectures. In L. Carvalho & P. Goodyear (Eds.), The architecture of productive learning networks (pp. 48–70). Routledge.

    Google Scholar 

  • Gunter, P. L., Shores, R. E., Jack, S. L., Rasmussen, S. K., & Flowers, J. (1995). On the move using teacher/student proximity to improve students’ behavior. Teaching Exceptional Children, 28(1), 12–14.

    Article  Google Scholar 

  • Hall, E. T. (1966). The hidden dimension (Vol. 609). Doubleday.

    Google Scholar 

  • Howard, S. K., Yang, J., Ma, J., Ritz, C., Zhao, J., & Wynne, K. (2018). Using data mining and machine learning approaches to observe technology-enhanced learning. In Proceedings of the International Conference on Teaching, Assessment, and Learning for Engineering (pp. 788–793). IEEE.

    Google Scholar 

  • Hurst, B., Wallace, R., & Nixon, S. B. (2013). The impact of social interaction on student learning. Reading Horizons: A Journal of Literacy and Language Arts, 52(4), 5.

    Google Scholar 

  • Jones, S. E., & Aiello, J. R. (1973). Proxemic behavior of black and white first-, third-, and fifth-grade children. Journal of Personality and Social Psychology, 25(1), 21.

    Article  Google Scholar 

  • Koh, J. H. L., & Frick, T. W. (2009). Instructor and student classroom interactions during technology skills instruction for facilitating preservice teachers’ computer self-efficacy. Journal of Educational Computing Research, 40(2), 211–228.

    Article  Google Scholar 

  • Kohls, C. (2017). Hybrid learning spaces. In Proceedings of the VikingPLoP 2017 conference on pattern languages of program (pp. 1–12). ACM.

    Google Scholar 

  • Lim, F. V., O’Halloran, K. L., & Podlasov, A. (2012). Spatial pedagogy: mapping meanings in the use of classroom space. Cambridge Journal of Education, 42(2), 235–251.

    Article  Google Scholar 

  • Martinez-Maldonado, R. (2019). I spent more time with that team: Making spatial pedagogy visible using positioning sensors. In Proceedings of the International Conference on Learning Analytics & Knowledge (pp. 21–25). ACM.

    Google Scholar 

  • Martinez-Maldonado, R., Elliott, D., Axisa, C., Power, T., Echeverria, V., & Buckingham Shum, S. (2020a). Designing translucent learning analytics with teachers: an elicitation process. Interactive Learning Environments, 1–15. Routledge. https://doi.org/10.1080/10494820.2019.1710541

  • Martinez-Maldonado, R., Mangaroska, K., Schulte, J., Elliott, D., Axisa, C., & Buckingham Shum, S. (2020b). Where is the teacher? digital analytics for classroom proxemics. Proceedings of ACM Interactive Mobile, Wearable and Ubiquitous Technologies, 4(1), 1–27.

    Article  Google Scholar 

  • Martinez-Maldonado, R., Schulte, J., Echeverria, V., Gopalan, Y., & Shum, S. B. (2020c). Where is the teacher? digital analytics for classroom proxemics. Journal of Computer Assisted Learning, 36(5), 741–762.

    Article  Google Scholar 

  • McArthur, J. (2008). Instructional proxemics: Creating a place for space in instructional communication discourse (Phd thesis), Clemson University.

    Google Scholar 

  • McArthur, J. (2015). Matching instructors and spaces of learning: The impact of space on behavioral, affective and cognitive learning. Journal of Learning Spaces, 4(1), 1–16.

    Google Scholar 

  • Montague, M., & Rinaldi, C. (2001). Classroom dynamics and children at risk: A followup. Learning Disability Quarterly, 24(2), 75–83.

    Article  Google Scholar 

  • Neill, S., & Etheridge, R. (2008). Flexible learning spaces: The integration of pedagogy, physical design, and instructional technology. Marketing Education Review, 18(1), 47–53.

    Article  Google Scholar 

  • Pishtari, G., Rodríguez-Triana, M. J., Sarmiento-Márquez, E. M., Pérez-Sanagustín, M., Ruiz-Calleja, A., Santos, P., …Väljataga, T. (2020). Learning design and learning analytics in mobile and ubiquitous learning: A systematic review. British Journal of Educational Technology, 51(4), 1078–1100.

    Google Scholar 

  • Raca, M., Kidzinski, L., & Dillenbourg, P. (2015). Translating head motion into attention-towards processing of student’s body-language. In Proceedings of the International Conference on Educational Data Mining (pp. 320–326).

    Google Scholar 

  • Reh, S., Rabenstein, K., & Fritzsche, B. (2011). Learning spaces without boundaries? territories, power and how schools regulate learning. Social & Cultural Geography, 12(01), 83–98.

    Article  Google Scholar 

  • Riquelme, F., Noel, R., Cornide-Reyes, H., Geldes, G., Cechinel, C., Miranda, D.,…Munoz, R. (2020). Where are you? exploring micro-location in indoor learning environments. IEEE Access, 8, 125776–125785.

    Google Scholar 

  • Ryser, L., Halseth, G., & Thien, D. (2009). Strategies and intervening factors influencing student social interaction and experiential learning in an interdisciplinary research team. Research in Higher Education, 50(3), 248–267.

    Article  Google Scholar 

  • Saquib, N., Bose, A., George, D., & Kamvar, S. (2018). Sensei: Sensing educational interaction. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(4), 1–27.

    Article  Google Scholar 

  • Singh, V., & Thurman, A. (2019). How many ways can we define online learning? a systematic literature review of definitions of online learning (1988–2018). American Journal of Distance Education, 33(4), 289–306.

    Article  Google Scholar 

  • Sørensen, E. (2009). The materiality of learning: Technology and knowledge in educational practice. Cambridge University Press.

    Google Scholar 

  • Waber, B., Magnolfi, J., & Lindsay, G. (2014). Workspaces that move people. Harvard Business Review, 92(10), 68–77.

    Google Scholar 

  • Wake, J., Heimsæter, F., Bjørgen, E., Wasson, B., & Hansen, C. (2018). Supporting firefighter training by visualising indoor positioning, motion detection, and time use: A multimodal approach. In Lasi-nordic 2018, volume 1601. (pp. 87–90). CEUR Workshop Proceedings.

    Google Scholar 

  • Watanabe, E., Ozeki, T., & Kohama, T. (2018). Analysis of interactions between lecturers and students. In Proceedings of the International Conference on Learning Analytics and Knowledge (pp. 370–374). ACM.

    Google Scholar 

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Acknowledgements

Roberto Martinez-Maldonado’s research is partly funded by Jacobs Foundation.

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Authors and Affiliations

  1. Monash University, Melbourne, VIC, Australia

    Roberto Martínez-Maldonado, Lixiang Yan, Joanne Deppeler, Michael Phillips & Dragan Gašević

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  1. Roberto Martínez-Maldonado
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  2. Lixiang Yan
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  3. Joanne Deppeler
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  4. Michael Phillips
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  5. Dragan Gašević
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Correspondence to Roberto Martínez-Maldonado .

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Editors and Affiliations

  1. Center for Innovation and Learning Design Kibbutzim College of Education,, Technology and the Arts, Tel-Aviv, Israel

    Einat Gil

  2. Consultant, Tel Aviv, Israel

    Yishay Mor

  3. Department of Signal Theory, Communications and Telematics Engineering, GSIC/EMIC Research Group, Universidad de Valladolid, Valladolid, Spain

    Yannis Dimitriadis

  4. Freudenthal Institute, Utrecht University, Utrecht, The Netherlands

    Christian Köppe

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Martínez-Maldonado, R., Yan, L., Deppeler, J., Phillips, M., Gašević, D. (2022). Classroom Analytics: Telling Stories About Learning Spaces Using Sensor Data. In: Gil, E., Mor, Y., Dimitriadis, Y., Köppe, C. (eds) Hybrid Learning Spaces. Understanding Teaching-Learning Practice. Springer, Cham. https://doi.org/10.1007/978-3-030-88520-5_11

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  • DOI: https://doi.org/10.1007/978-3-030-88520-5_11

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  • Online ISBN: 978-3-030-88520-5

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