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Studying Teacher Orchestration Load in Technology-Enhanced Classrooms

A Mixed-Method Approach and Case Study

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Design for Teaching and Learning in a Networked World (EC-TEL 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9307))

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Abstract

Teacher orchestration of technology-enhanced learning (TEL) processes plays a major role in students’ outcomes, especially in face-to-face classrooms. However, few studies look into the fine-grained details of how such orchestration unfolds, the challenges and cognitive overload that using technologies at a classroom level pose for teachers. This paper proposes a mixed-method approach to the study of orchestration cognitive load, combining physio-behavioural (eye-tracking) and subjective measurements (questionnaires, stimulated recall interviews). We illustrate the approach by applying it to study the orchestration of two technology-enhanced geometry lessons, by a secondary school teacher. The results of our mixed-method analyses highlight the difficulty of classroom-level (as opposed to individual- or group-level) interactions, especially in modelling students’ progress and understanding. Such insights can be useful in the design of new classroom technologies, and to focus researchers’ attention on critical orchestration episodes during their evaluation.

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Notes

  1. 1.

    We restrict ourselves to the extreme load episodes as a way to keep the needed manpower under control (in a hour-long session the number of extreme load episodes to code tends to be around 100, while the total number of episodes can be close to 1000), and to focus the attention on the most critical orchestration episodes, contrasting them with the ‘least critical’ ones [23].

  2. 2.

    https://github.com/chili-epfl/ectel2015-orchestration-school.

  3. 3.

    http://www.keycurriculum.com/.

  4. 4.

    http://www.netsupportschool.com/.

  5. 5.

    After normalization by the first 10 s episode of each session, to account for variability in the data due to the different time of the day or wakefulness of the teacher in the concerned days.

  6. 6.

    Teacher could see either a mosaic with the miniature version of all screens where little could be made out, or a single student’s screen – which often provides an incomplete view unless the teacher actually walked there to talk with the student.

References

  1. Alavi, H.S., Dillenbourg, P.: An ambient awareness tool for supporting supervised collaborative problem solving. IEEE Trans. Learn. Technol. 5(3), 264–274 (2012)

    Article  Google Scholar 

  2. Anderson, J.R.: Spanning seven orders of magnitude: a challenge for cognitive modeling. Cogn. Sci. 26(1), 85–112 (2002)

    Article  Google Scholar 

  3. Bailey, B.: Usability testing: an early history. http://webusability.com/usability-testing-a-early-history/. Accessed on 17 March 2015

  4. Beers, P.J., Boshuizen, H.P., Kirschner, P.A., Gijselaers, W., Westendorp, J.: Cognitive load measurements and stimulated recall interviews for studying the effects of information and communications technology. Edu. Technol. Res. Develop. 56(3), 309–328 (2008)

    Article  Google Scholar 

  5. Brunken, R., Plass, J.L., Leutner, D.: Direct measurement of cognitive load in multimedia learning. Edu. Psychol. 38(1), 53–61 (2003)

    Article  Google Scholar 

  6. Buettner, R.: Cognitive workload of humans using artificial intelligence systems: towards objective measurement applying eye-tracking technology. In: Timm, I.J., Thimm, M. (eds.) KI 2013. LNCS, vol. 8077, pp. 37–48. Springer, Heidelberg (2013)

    Google Scholar 

  7. Creswell, J.W.: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage publications, Thousand Oaks (2013)

    Google Scholar 

  8. Cuendet, S., Bonnard, Q., Do-Lenh, S., Dillenbourg, P.: Designing augmented reality for the classroom. Comput. Edu. 68, 557–569 (2013)

    Article  Google Scholar 

  9. DeLeeuw, K.E., Mayer, R.E.: A comparison of three measures of cognitive load: evidence for separable measures of intrinsic, extraneous, and germane load. J. Edu. Psychol. 100(1), 223 (2008)

    Article  Google Scholar 

  10. Dillenbourg, P.: Design for classroom orchestration. Comput. Edu. 69, 485–492 (2013)

    Article  Google Scholar 

  11. Dillenbourg, P., Järvelä, S., Fischer, F.: The evolution of research on computer-supported collaborative learning. In: Balacheff, N., Ludvigsen, S., de Jong, T., Lazonder, A., Barnes, S. (eds.) TEL, pp. 3–19. Springer, The Netherlands (2009)

    Chapter  Google Scholar 

  12. Dillenbourg, P., Zufferey, G., Alavi, H., Jermann, P., Do-Lenh, S., Bonnard, Q., Cuendet, S., Kaplan, F.: Classroom orchestration: the third circle of usability. In: Proceedings of CSCL 2011, vol. 1, pp. 510–517 (2011)

    Google Scholar 

  13. Doyle, W.: Ecological approaches to classroom management. In: Evertson, C.M., Weinstein, C.S. (eds.) Handbook of Classroom Management: Research, Practice, and Contemporary Issues , pp. 97–125 (2006)

    Google Scholar 

  14. Gómez, F., Nussbaum, M., Weitz, J.F., Lopez, X., Mena, J., Torres, A.: Co-located single display collaborative learning for early childhood education. Int. J. Comput. Support. Collab. Learn. 8(2), 225–244 (2013)

    Article  Google Scholar 

  15. Gould, J.D., Lewis, C.: Designing for usability: key principles and what designers think. Commun. ACM 28(3), 300–311 (1985)

    Article  Google Scholar 

  16. Hart, S.G., Staveland, L.E.: Development of NASA-TLX (task load index): results of empirical and theoretical research. Adv. Psychol. 52, 139–183 (1988)

    Article  Google Scholar 

  17. Kharrufa, A., Martinez-Maldonado, R., Kay, J., Olivier, P.: Extending tabletop application design to the classroom. In: Proceedings of the 2013 ACM International Conference on Interactive Tabletops and Surfaces, pp. 115–124. ACM (2013)

    Google Scholar 

  18. Newell, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1994)

    Google Scholar 

  19. Onrubia, J., Engel, A.: The role of teacher assistance on the effects of a macro-script in collaborative writing tasks. Int. J. Comput. Support. Collab. Learn. 7(1), 161–186 (2012)

    Article  Google Scholar 

  20. Paas, F., Renkl, A., Sweller, J.: Cognitive load theory: instructional implications of the interaction between information structures and cognitive architecture. Instr. Sci. 32(1), 1–8 (2004)

    Article  Google Scholar 

  21. Paas, F., Tuovinen, J.E., Tabbers, H., Van Gerven, P.W.: Cognitive load measurement as a means to advance cognitive load theory. Edu. Psychol. 38(1), 63–71 (2003)

    Article  Google Scholar 

  22. Prieto, L.P., Dlab, M.H., Gutiérrez, I., Abdulwahed, M., Balid, W.: Orchestrating technology enhanced learning: a literature review and a conceptual framework. Int. J. Technol. Enhanced Learn. 3(6), 583–598 (2011)

    Article  Google Scholar 

  23. Prieto, L.P., Sharma, K., Wen, Y., Dillenbourg, P.: The burden of facilitating collaboration: towards estimation of teacher orchestration load using eye-tracking measures. In: Proceedings of the 11th International Conference on Computer-Supported Collaborative Learning, Vol. I, pp. 212–219 (2015)

    Google Scholar 

  24. Prieto, L.P., Wen, Y., Caballero, D., Sharma, K., Dillenbourg, P.: Studying teacher cognitive load in multi-tabletop classrooms using mobile eye-tracking. In: Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, pp. 339–344. ACM (2014)

    Google Scholar 

  25. Roschelle, J., Dimitriadis, Y., Hoppe, U.: Classroom orchestration: synthesis. Comput. Edu. 69, 523–526 (2013)

    Article  Google Scholar 

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Acknowledgment

This research was supported by a Marie Curie Fellowship within the 7th European Community Framework Programme (MIOCTI, FP7–PEOPLE–2012–IEF project no. 327384). Special thanks to Wendy Farden and the International School of Lausanne for their collaboration.

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Prieto, L.P., Sharma, K., Dillenbourg, P. (2015). Studying Teacher Orchestration Load in Technology-Enhanced Classrooms. In: Conole, G., Klobučar, T., Rensing, C., Konert, J., Lavoué, E. (eds) Design for Teaching and Learning in a Networked World. EC-TEL 2015. Lecture Notes in Computer Science(), vol 9307. Springer, Cham. https://doi.org/10.1007/978-3-319-24258-3_20

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  • DOI: https://doi.org/10.1007/978-3-319-24258-3_20

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