Inferring Student Attention with ASQ

  • Vasileios Triglianos
  • Cesare Pautasso
  • Alessandro Bozzon
  • Claudia Hauff
Conference paper

DOI: 10.1007/978-3-319-45153-4_23

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9891)
Cite this paper as:
Triglianos V., Pautasso C., Bozzon A., Hauff C. (2016) Inferring Student Attention with ASQ. In: Verbert K., Sharples M., Klobučar T. (eds) Adaptive and Adaptable Learning. EC-TEL 2016. Lecture Notes in Computer Science, vol 9891. Springer, Cham

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.

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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