 |
Advances and Open Problems in Federated Learning.
Foundations and Trends in Machine Learning: Vol. 14: No. 1 (2021).
Edited by: Peter Kairouz and H. Brendan McMahan
[DOI] [arXiv] |
 |
Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data.
Josh Gardner, Jawad Mroueh, Natalia Jenuwine, Noah Weaverdyck, Samuel Krassenstein, Arya Farahi, Danai Koutra.
IEEE International Conference on Data Science and Advanced Analytics (DSAA20).
[arXiv] |
 |
Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective.
Josh Gardner, Yuming Yang, Ryan Baker and Christopher Brooks.
Proceedings of the 12th International Conference on Educational Data Mining (EDM19).
[PDF] |
 |
Evaluating the Fairness of Predictive Student Models Through Slicing Analysis
Josh Gardner, Christopher Brooks, and Ryan Baker.
Proceedings of the 9th International Conference on Learning Analytics and Knowledge (LAK19).
Best Paper Award
[PDF] |
 |
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments.
Timothy NeCamp, Josh Gardner, Christopher Brooks.
Proceedings of the 9th International Conference on Learning Analytics and Knowledge (LAK19).
[PDF] |
 |
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data.
Josh Gardner, Miguel Andres-Bray, Christopher Brooks, and Ryan Baker.
Proceedings of the 2018 IEEE International Conference on Big Data. Presented at 3rd Workshop on Open Science in Big Data (OSBD).
[PDF] |
 |
Learn From Your (Markov) Neighbor: Coenrollment, Assortativity, and Grade Prediction in Undergraduate Courses.
Josh Gardner, Christopher Brooks, and Warren Li.
The Journal of Learning Analytics.
[PDF] |
 |
Evaluating Predictive Models of Student Success: Closing the Methodological Gap.
Josh Gardner, Christopher Brooks.
The Journal of Learning Analytics.
[PDF] |
 |
Student Success Prediction in MOOCs
Josh Gardner, Christopher Brooks
User Modeling and User-Adapted Interaction (UMUAI): The Journal of Personalization Research
[PDF] |
 |
How Gender Cues in Educational Video Impact Participation and Retention
Christopher Brooks, Josh Gardner, Kaifeng Chen.
Proceedings of the 2018 International Conference on the Learning Sciences (ICLS).
[PDF] |
 |
Replicating MOOC Predictive Models at Scale.
Josh Gardner, Christopher Brooks, Juan Miguel Andres, Ryan S. Baker
Proceedings of the Fifth ACM Conference on Learning@Scale (L@S).
[PDF] |
 |
Coenrollment Networks and their Relationship to Grades in Undergraduate Education
Josh Gardner, Christopher Brooks
Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK18)
[PDF] |
 |
Dropout Model Evaluation in MOOCs
Josh Gardner, Christopher Brooks
Eighth AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18)
[PDF] |
 |
Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit
Josh Gardner, Danai Koutra, Jawad Mroueh, Victor Pang, Arya Farahi, Sam Krassenstein, and Jared Webb
Bloomberg Data For Good Exchange (D4GX). Also appeared in Data Science for Social Good Conference (DSSG).
[PDF] |
 |
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining
Josh Gardner, Yuming Yang, Ryan S. Baker, and Christopher Brooks
Workshop on Enabling Reproducibility in Machine Learning at the Thirty-fifth International Conference on Machine Learning (REPML@ICML).
[PDF] |
 |
A Statistical Framework for Predictive Model Evaluation in MOOCs
Josh Gardner, Christopher Brooks
Fourth Annual Meeting of the ACM Conference on Learning@Scale (L@S)
[PDF] |
|
Predictive Models with the Coenrollment Graph: Network-Based Grade Prediction in Undergraduate Courses
Josh Gardner, Christopher Brooks
The Third International Workshop on Graph-Based Educational Data Mining at 10th International Conference on Educational Data Mining
|
|
Statistical Approaches to the Model Comparison Task in Learning Analytics
Josh Gardner, Christopher Brooks
Workshop on Methodology in Learning Analytics (MLA) at 7th International Conference on Learning Analytics and Knowledge;
|