• DocumentCode
    1734987
  • Title

    Contextual learning analytics apps to create awareness in blended inquiry learning

  • Author

    Vozniuk, Andrii ; Rodriguez-Triana, Maria Jesus ; Holzer, Adrian ; Govaerts, Sten ; Sandoz, David ; Gillet, Denis

  • Author_Institution
    Sch. of Eng., EPFL, Lausanne, Switzerland
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Blended inquiry learning relying on online labs to enhance classroom activities is considered as a promising approach to increase the skills and the interest of students in science, technology, engineering, and mathematics. In such a framework where students combine face-to-face interaction with peers or teachers and online interaction with remote or virtual labs, adequate guidance should be provided. Such a task is facilitated if teachers are made aware of the progresses and the difficulties of their students. Learning analytics based on the analysis of the student online interaction traces and their visualization is an adequate mean. A set of contextual learning analytics apps which provide the teacher with learning-specific information is introduced in this paper. A requirement analysis gathered at a summer school with 32 teachers, the design and implementation of three contextual learning analytics apps, the main outcomes from a case study, as well as an outlook on future research avenues are detailed.
  • Keywords
    STEM; computer aided instruction; educational institutions; blended inquiry learning; classroom activities; contextual learning analytics apps; face-to-face interaction; learning-specific information; online lab; peers; remote lab; science technology engineering and mathematics; student online interaction trace analysis; teacher; virtual lab; Context; Data visualization; Europe; Monitoring; Real-time systems; Student activities; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Based Higher Education and Training (ITHET), 2015 International Conference on
  • Conference_Location
    Lisbon
  • Type

    conf

  • DOI
    10.1109/ITHET.2015.7218029
  • Filename
    7218029