Inferring Student Attention with ASQ

  • Vasileios Triglianos
  • Cesare Pautasso
  • Alessandro Bozzon
  • Claudia Hauff
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9891)

Abstract

ASQ is a Web application for broadcasting and tracking interactive presentations, which can be used to support active learning pedagogies during lectures, labs and exercise sessions. Students connect their smartphones, tablets or laptops to receive the current slide as it is being explained by the teacher. Slides can include interactive teaching elements (usually questions of different forms). In contrast to other existing platforms, ASQ does not only collect, aggregate and visualize the answers in real-time, it also supports the data analytics in the classroom paradigm by providing the teacher with a real-time analysis of student behaviour during the entire session. One vital aspect of student behaviour is (in)attention and in this paper we discuss how we infer — in real-time — student attention based on log traces ASQ collects.

References

  1. 1.
    Bixler, R., Blanchard, N., Garrison, L., D’Mello, S.: Automatic detection of mind wandering during reading using gaze and physiology. In: Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, ICMI 2015, pp. 299–306 (2015)Google Scholar
  2. 2.
    Bunce, D.M., Flens, E.A., Neiles, K.Y.: How long can students pay attention in class? a study of student attention decline using clickers. J. Chem. Educ. 87(12), 1438–1443 (2010)CrossRefGoogle Scholar
  3. 3.
    Burke, L.A., Ray, R.: Re-setting the concentration levels of students in higher education: an exploratory study. Teach. High. Educ. 13(5), 571–582 (2008)CrossRefGoogle Scholar
  4. 4.
    Johnstone, A.H., Percival, F.: Attention breaks in lectures. Educ. Chem. 13(2), 49–50 (1976)Google Scholar
  5. 5.
    Lindquist, S.I., McLean, J.P.: Daydreaming and its correlates in an educational environment. Learn. Individ. Differ. 21(2), 158–167 (2011)CrossRefGoogle Scholar
  6. 6.
    Persico, D., Pozzi, F.: Informing learning design with learning analytics to improve teacher inquiry. Br. J. Educ. Technol. 46(2), 230–248 (2015)CrossRefGoogle Scholar
  7. 7.
    Santos, L.P.P., et al.: Teaching analytics: towards automatic extraction of orchestration graphs using wearable sensors. In: International Learning Analytics and Knowledge, No. EPFL-CONF-216918 (2016)Google Scholar
  8. 8.
    Risko, E.F., Anderson, N., Sarwal, A., Engelhardt, M., Kingstone, A.: Everyday attention: variation in mind wandering and memory in a lecture. Appl. Cogn. Psychol. 26(2), 234–242 (2012)CrossRefGoogle Scholar
  9. 9.
    Scerbo, M.W., Warm, J.S., Dember, W.N., Grasha, A.F.: The role of time and cuing in a college lecture. Contemp. Educ. Psychol. 17(4), 312–328 (1992)CrossRefGoogle Scholar
  10. 10.
    Stuart, J., Rutherford, R.: Medical student concentration during lectures. The Lancet 312(8088), 514–516 (1978)CrossRefGoogle Scholar
  11. 11.
    Sun, H.J., Huang, M.X., Ngai, G., Chan, S.C.F.: Nonintrusive multimodal attention detection. In: The Seventh International Conference on Advances in Computer-Human Interactions, ACHI 2014, pp. 192–199. Citeseer (2014)Google Scholar
  12. 12.
    Szafir, D., Mutlu, B.: Pay attention!: designing adaptive agents that monitor and improve user engagement. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2012, pp. 11–20 (2012)Google Scholar
  13. 13.
    Szafir, D., Mutlu, B.: Artful: adaptive review technology for flipped learning. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (2013)Google Scholar
  14. 14.
    Szpunar, K.K., Khan, N.Y., Schacter, D.L.: Interpolated memory tests reduce mind wandering and improve learning of online lectures. Proc. Nat. Acad. Sci. 110(16), 6313–6317 (2013)CrossRefGoogle Scholar
  15. 15.
    Szpunar, K.K., Moulton, S.T., Schacter, D.L.: Mind wandering and education: from the classroom to online learning. Front. Psychol. 4, 495 (2013)CrossRefGoogle Scholar
  16. 16.
    Triglianos, V., Pautasso, C.: ASQ: Interactive web presentations for hybrid MOOCs. In: Proceedings of WWW, pp. 209–210 (2013)Google Scholar
  17. 17.
    Wilson, K., Korn, J.H.: Attention during lectures: beyond ten minutes. Teach. Psychol. 34(2), 85–89 (2007)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Vasileios Triglianos
    • 1
  • Cesare Pautasso
    • 1
  • Alessandro Bozzon
    • 2
  • Claudia Hauff
    • 2
  1. 1.Faculty of InformaticsUniversity of LuganoLuganoSwitzerland
  2. 2.Web Information SystemsDelft University of TechnologyDelftThe Netherlands

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