Frank Stinar

Bidirectional Human–AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning

This paper studies a bidirectional human-AI collaborative student performance prediction problem to enhance equitable online education, aligning with the United Nations' Sustainable Development Goal (SDG) of ensuring inclusive and equitable quality education for all. The goal is to leverage collabor