4 citations · 4 across the 2 of their papers we have counts for
4 papers
Applying Recent Innovations from NLP to MOOC Student Course Trajectory Modeling
Clarence Chen, Zachary Pardos
This paper presents several strategies that can improve neural network-based predictive methods for MOOC student course trajectory modeling, applying multiple ideas previously appl…
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…
A Map of Knowledge
Zachary A. Pardos, Andrew Joo Hun Nam
Knowledge representation has gained in relevance as data from the ubiquitous digitization of behaviors amass and academia and industry seek methods to understand and reason about t…