D&D-Building a Network-based Recommender System Using Fair AI to Support Help Seeking in Online Learning (v)

• In Event: Gallery Walk Showcase
  In Showcase Session: Gallery 09 - Designing with Games or for Gamification

Short Description

Researchers have examined AI techniques such as link prediction with network analysis to connect help seekers with help providers in online discussion forums. However, little is known whether these AI systems will treat students fairly. In this study, we aim to start a foundation work to build a recommender system that can (1) fairly suggest peers who are likely to answer a question and (2) predict the response quality of students.

Authors

• Presenter: Chenglu Li, University of Florida

• Contributor: Wanli Xing, University of Florida

• Contributor: Walter Leite, University of Florida