9 citations · 13 across the 3 of their papers we have counts for
5 papers
Large Language Models (GPT) for automating feedback on programming assignments
Maciej Pankiewicz, Ryan S. Baker
Addressing the challenge of generating personalized feedback for programming assignments is demanding due to several factors, like the complexity of code syntax or different ways t…
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…
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…
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…
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data
Josh Gardner, Christopher Brooks, Juan Miguel L. Andres +1
Big data repositories from online learning platforms such as Massive Open Online Courses (MOOCs) represent an unprecedented opportunity to advance research on education at scale an…