• DocumentCode
    3656410
  • Title

    Enhancing Student Engagement through Personalized Motivations

  • Author

    Athanasios Staikopoulos;Ian OKeeffe;Bilal Yousuf;Owen Conlan;Eddie Walsh;Vincent Wade

  • Author_Institution
    Sch. of Comput. Sci. &
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    340
  • Lastpage
    344
  • Abstract
    A lack of appropriate engagement in online learning courses is a significant factor leading to poor performance and high dropout rates. This paper presents a framework that provides personalized motivations in the form of feedback, advices and reminders in order to enhance the engagement of students with online learning. It also describes the design, implementation and evaluation of the framework which has been used by over one hundred students. The paper focuses on how the framework by modelling and monitoring the level of engagement of students, it provides tailored motivations to stimulate and sustain their engagement. Finally, the paper compares the results from a previous student cohort (where no motivations were provided) to highlight how the framework has significantly increased the level of engagement of students.
  • Keywords
    "Monitoring","Engines","Education","Context","Electronic mail","Least squares approximations","Portals"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2015 IEEE 15th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICALT.2015.116
  • Filename
    7265345