• DocumentCode
    607184
  • Title

    Mining student repositories to gain learning analytics. An experience report

  • Author

    Robles, G. ; Gonzalez-Barahona, J.M.

  • Author_Institution
    GSyC/LibreSoft, Univ. Rey Juan Carlos, Madrid, Spain
  • fYear
    2013
  • fDate
    13-15 March 2013
  • Firstpage
    1249
  • Lastpage
    1254
  • Abstract
    Engineering students often have to deliver small computer programs in many engineering courses. Instructors have to evaluate these assignments according to the learning goals and their quality, but ensure as well that there is no plagiarism. In this paper, we report the experience of using mining software repositories techniques in a multimedia networks course where students have to submit several software programs. We show how we have proceeded, the tools that we have used and provide some useful links and ideas that other lecturers may use.
  • Keywords
    computer aided instruction; data mining; educational courses; engineering education; multimedia systems; computer programs; engineering courses; engineering students; learning analytics; mining software repositories techniques; multimedia network course; plagiarism; software programs; student repository mining; Conferences; Engineering education; automatic assessment; e-learning; mining software repositories; plagiarism; software analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Engineering Education Conference (EDUCON), 2013 IEEE
  • Conference_Location
    Berlin
  • ISSN
    2165-9559
  • Print_ISBN
    978-1-4673-6111-8
  • Electronic_ISBN
    2165-9559
  • Type

    conf

  • DOI
    10.1109/EduCon.2013.6530267
  • Filename
    6530267