Adaptive Reward Mechanism for Sustainable Online Learning Community

  • Authors:
  • Ran Cheng;Julita Vassileva

  • Affiliations:
  • Computer Science Department, University of Saskatchewan, Saskatoon, SK, S7N 5A9 Canada, rac740@mail.usask.ca, jiv@cs.usask.ca;Computer Science Department, University of Saskatchewan, Saskatoon, SK, S7N 5A9 Canada, rac740@mail.usask.ca, jiv@cs.usask.ca

  • Venue:
  • Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
  • Year:
  • 2005

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Abstract

Abundance of user contributions does not necessarily indicate sustainability of an online community. On the contrary, excessive contributions in the systems may result in information overload and user withdrawal. We propose a user-and community-adaptive reward mechanism aiming to regulate the quantity of the contributions and encourage users to moderate the quality of contributions themselves. The mechanism has been applied and evaluated in an online community supporting undergraduate students to share course-related web-resources.