• DocumentCode
    1698988
  • Title

    Comparing MOOC-based platforms: Reflection on pedagogical support, framework and learning analytics

  • Author

    Lebron, David ; Shahriar, Hossain

  • Author_Institution
    Dept. of Comput. Sci., Kennesaw State Univ., Kennesaw, GA, USA
  • fYear
    2015
  • Firstpage
    167
  • Lastpage
    174
  • Abstract
    The rapidly expanding, highly evolving online course market (Massive Open Online Course or MOOC) is influential in academia. Many well-known MOOC platforms have emerged over the last decade. There is a need to compare the support level offered by these platforms so that educators can deliver materials and students are able to learn better. Additionally, there is a need to explore what kinds of data are gathered from these platforms to exploit big data analytics opportunities. This paper evaluates three major online MOOC course providers namely Coursera, EdX, and Udacity. We first compare these platforms in terms of pedagogical support and implemented technologies. We then look at the literature and compare learning analytics support among these tools that are currently offered. We also suggest a set of analytics concepts that can aid instructors to mine student´s interaction data and generate guidance for effective teaching.
  • Keywords
    computer aided instruction; data analysis; Coursera; EdX; Udacity; big data analytics opportunities; interaction data; learning analytics; massive open online course; online MOOC course providers; online course market; pedagogical support; teaching; Big data; Companies; Decision support systems; Coursera; EdX; Learning analytics; MOOC; Udacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaboration Technologies and Systems (CTS), 2015 International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4673-7647-1
  • Type

    conf

  • DOI
    10.1109/CTS.2015.7210417
  • Filename
    7210417