Journal and Conference Papers
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Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data. |
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Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. |
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Evaluating the Fairness of Predictive Student Models Through Slicing Analysis |
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Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. |
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MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data. |
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Learn From Your (Markov) Neighbor: Coenrollment, Assortativity, and Grade Prediction in Undergraduate Courses. |
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Evaluating Predictive Models of Student Success: Closing the Methodological Gap. |
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Student Success Prediction in MOOCs |
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How Gender Cues in Educational Video Impact Participation and Retention |
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Replicating MOOC Predictive Models at Scale. |
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Coenrollment Networks and their Relationship to Grades in Undergraduate Education |
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Dropout Model Evaluation in MOOCs |
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Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit |
Preprints
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Advances and Open Problems in Federated Learning. |
Workshop Papers and Works in Progress (Peer-Reviewed)
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Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining |
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A Statistical Framework for Predictive Model Evaluation in MOOCs |
Predictive Models with the Coenrollment Graph: Network-Based Grade Prediction in Undergraduate Courses | |
Statistical Approaches to the Model Comparison Task in Learning Analytics |