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Applying Self-Optimised Feedback to a Learning Management System for Facilitating Personalised Learning Activities on Massive Open Online Courses

Author

Listed:
  • Xin Qi

    (Faculty of Engineering and IT, University of Technology, Sydney 2000, Australia)

  • Geng Sun

    (School of Computer Engineering, Chongqing College of Humanities, Science and Technology, Chongqing 401524, China
    Vermilion Cloud, Sydney 2000, Australia)

  • Lin Yue

    (Department of Actuarial Studies and Business Analytics, Macquarie University, Sydney 2019, Australia)

Abstract

Web-based educational systems collect tremendous amounts of electronic data, ranging from simple histories of students’ interactions with the system to detailed traces of their reasoning. However, less attention has been given to the pedagogical interaction data of customised learning in a gamification environment. This study aims to research user experience, communication methods, and feedback and survey functionalities among the existing learning management system; understand the data flow of the online study feedback loop; propose the design of a personalised feedback system; and conclude with a discussion of the findings from the collected experiment data. We will test the importance of gamification learning and analytics learning, as well as conduct a literature review and laboratory experiment to examine how they can influence the effectiveness of monetary incentive schemes. This research will explain the significance of gamification learning and personalised feedback on motivation and performance during the learning journey.

Suggested Citation

  • Xin Qi & Geng Sun & Lin Yue, 2023. "Applying Self-Optimised Feedback to a Learning Management System for Facilitating Personalised Learning Activities on Massive Open Online Courses," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12562-:d:1220121
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