• DocumentCode
    240599
  • Title

    A4Learning -- A Case Study to Improve the User Performance: Alumni Alike Activity Analytics to Self-Assess Personal Progress

  • Author

    de-la-Fuente-Valentin, Luis ; Burgos, Daniel ; Gonzalez Crespo, Ruben

  • Author_Institution
    UNIR Res., Univ. Internacional de La Rioja, Madrid, Spain
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    360
  • Lastpage
    362
  • Abstract
    Students usually find difficult to estimate if their effort in learning courses finds the instructor expectations. They tend to estimate "if they are doing right" by comparing themselves with peers, but this is difficult in online learning scenarios. Grade estimation methods are usually early warning systems targeted to teachers, and few systems are targeted to the students. A4Learning (Alumni Alike Activity Analytics) combines visual feedback methods and visual analytics techniques to provide students with a method to self-estimate their grade by comparing themselves to students from previous course editions. This article details the proposed visualization and presents the validation of the tool with volunteer teachers.
  • Keywords
    computer aided instruction; data analysis; data visualisation; educational courses; further education; A4Learning; alumni alike activity analytics; learning course; online learning scenario; user performance; visual analytics techniques; visual feedback methods; Data mining; Estimation; Least squares approximations; Measurement; Monitoring; Visual analytics; awareness tool; grade estimation; similarity; visual analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2014 IEEE 14th International Conference on
  • Conference_Location
    Athens
  • Type

    conf

  • DOI
    10.1109/ICALT.2014.107
  • Filename
    6901480