• DocumentCode
    240601
  • Title

    Data Depository: Business & Learning Analytics for Educational Web Applications

  • Author

    Malhotra, Manav ; I-Han Hsiao ; Hui Soo Chae ; Natriello, Gary

  • Author_Institution
    EdLab, Columbia Univ., New York, NY, USA
  • fYear
    2014
  • fDate
    7-10 July 2014
  • Firstpage
    363
  • Lastpage
    364
  • Abstract
    Quantitative methods in education research have long been limited by the ability to collect detailed learner data in a consistent, scalable way. As education continues to move online we are presented with an unprecedented opportunity to study learner interactions within learning systems. However, doing so requires infrastructure to collect and store massive interaction data from which we can learn. In this paper we present Data Depository, a flexible, pluggable, data hub for tracking interaction data from any browser-based application, aiding the measurement of usage and effectiveness.
  • Keywords
    Internet; computer aided instruction; data analysis; browser-based application; business analytics; data depository; data hub; educational Web applications; interaction data tracking; learning analytics; quantitative methods; Business; Cities and towns; Educational institutions; Learning systems; Measurement; Monitoring; dashboard; depository; learning analytics; measurement; tracking; user interaction;
  • 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.2014.237
  • Filename
    6901481