skip to main content
10.1145/2556325.2567863acmconferencesArticle/Chapter ViewAbstractPublication Pagesl-at-sConference Proceedingsconference-collections
poster

Tracking progress: predictors of students' weekly achievement during a circuits and electronics MOOC

Authors Info & Claims
Published:04 March 2014Publication History

ABSTRACT

Massive open online courses (MOOCs) provide learning materials and automated assessments for large numbers of virtual users. Because every interaction is recorded, we can longitudinally model performance over the course of the class. We create a panel model of achievement in an early MOOC to estimate within- and between-user differences. In this study, we hope to contribute to HCI literature by, first, applying quasi-experimental methods to identify behaviors that may support student learning in a virtual environment, and, second, by using a panel model that takes into account the longitudinal, dynamic nature of a multiple-week class.

References

  1. Arora, M.L., Rho, Y.R., & Masson, C. Longitudinal study of online statics homework as a method to improve learning. Journal of STEM Education 14, 1 (2013), 36--44.Google ScholarGoogle Scholar
  2. Breslow, L. The opportunities and challenges from big data from MOOCs. AERA panel "Innovations in Data and Technology for Educational Research." AERA annual conference (2013).Google ScholarGoogle Scholar
  3. Breslow, L., Pritchard, D.E., DeBoer, J., Stump, G.S., Ho, A.D., & Seaton, D.T. Studying learning in the worldwide classroom: Research into edX's first MOOC. Research and Practice in Assessment, 8 (2013), 13--25.Google ScholarGoogle Scholar
  4. DeBoer, J., Ho, A.D., Stump, G.S., & Breslow, L. (in press). Changing "course": Reconceptualizing educational variables for massive open online courses. Educational Researcher.Google ScholarGoogle Scholar
  5. Desjardins, R. & Warnke, A. Ageing and skills: A review and analysis of skill gain and skill loss over the lifespan and over time, OECD Education Working Papers, No. 72, OECD Publishing (2012).Google ScholarGoogle Scholar
  6. Katz, S., Aronis, J., Allbritton, D., Wilson, C., & Soffa, M.L. A study to identify predictors of achievement in an introductory computer science course. In Proc. SIGMIS CPR 2003, ACM Press (2003), 157--161. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Priego, R.G. & Peralta, A.G. Engagement factors and motivation in e-learning and blended-learning projects. In Proc. TEEM 2013, ACM Press (2013), 453--46. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Tracking progress: predictors of students' weekly achievement during a circuits and electronics MOOC

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      L@S '14: Proceedings of the first ACM conference on Learning @ scale conference
      March 2014
      234 pages
      ISBN:9781450326698
      DOI:10.1145/2556325

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 4 March 2014

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      L@S '14 Paper Acceptance Rate14of38submissions,37%Overall Acceptance Rate117of440submissions,27%

      Upcoming Conference

      L@S '24
      Eleventh ACM Conference on Learning @ Scale
      July 18 - 20, 2024
      Atlanta , GA , USA

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader