A fairness-aware multi-objective integrated deep learning framework for intelligent tutoring systems
This work develops a mathematically robust framework of deep optimization with multiple objectives to ensure equity is maintained and carried forward across the tutoring lifecycle and achieves up to 67% lower learning gain disparity and 56% greater stability of dispersion in learning-gap distributions.