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cs.CY2019
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance
Richard Scruggs, Ryan S. Baker, Bruce M. McLaren
Recent student knowledge modeling algorithms such as Deep Knowledge Tracing (DKT) and Dynamic Key-Value Memory Networks (DKVMN) have been shown to produce accurate predictions of p…
cs.CY2018
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining
Josh Gardner, Yuming Yang, Ryan Baker +1
The use of machine learning techniques has expanded in education research, driven by the rich data from digital learning environments and institutional data warehouses. However, re…