4 citations · 4 across the 2 of their papers we have counts for
4 papers
Towards Equity and Algorithmic Fairness in Student Grade Prediction
Weijie Jiang, Zachary A. Pardos
Equity of educational outcome and fairness of AI with respect to race have been topics of increasing importance in education. In this work, we address both with empirical evaluatio…
Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System
Zachary A. Pardos, Weijie Jiang
Collaborative filtering based algorithms, including Recurrent Neural Networks (RNN), tend towards predicting a perpetuation of past observed behavior. In a recommendation context,…
Goal-based Course Recommendation
Weijie Jiang, Zachary A. Pardos, Qiang Wei
With cross-disciplinary academic interests increasing and academic advising resources over capacity, the importance of exploring data-assisted methods to support student decision m…
Connectionist Recommendation in the Wild: On the utility and scrutability of neural networks for personalized course guidance
Zachary A. Pardos, Zihao Fan, Weijie Jiang
The aggregate behaviors of users can collectively encode deep semantic information about the objects with which they interact. In this paper, we demonstrate novel ways in which the…