Adaptive Reward Mechanism for Sustainable Online Learning Community

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.

• Type: Conference
• Year: 2005
• Where: AIED
• Authors: Ran Cheng, Julita Vassileva
• Keywords: AIED 2005, Artificial Intelligence, Contributions, Excessive Contributions, User Contributions