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05/01/2023
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
Modern machine learning increasingly supports paradigms that are multi-i...
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10/26/2018
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments
Randomized experiments ensure robust causal inference that are critical ...
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06/13/2018
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining
The use of machine learning techniques has expanded in education researc...
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02/16/2018
Dropout Model Evaluation in MOOCs
The field of learning analytics needs to adopt a more rigorous approach ...
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01/19/2018
Evaluating Predictive Models of Student Success: Closing the Methodological Gap
Model evaluation -- the process of making inferences about the performan...
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01/16/2018
MORF: A Framework for MOOC Predictive Modeling and Replication At Scale
The MOOC Replication Framework (MORF) is a novel software system for fea...
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11/16/2017