3 papers
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.HC2019
The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students
Eda Okur, Sinem Aslan, Nese Alyuz +2
The development of real-time affect detection models often depends upon obtaining annotated data for supervised learning by employing human experts to label the student data. One o…
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…