Josh Gardner
Title
Cited by
Cited by
Year
Advances and open problems in federated learning
P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ...
arXiv preprint arXiv:1912.04977, 2019
2822019
Student Success Prediction in MOOCs
J Gardner, C Brooks
User Modeling and User-Adapted Interaction 28 (2), 127-203, 2018
712018
Evaluating the fairness of predictive student models through slicing analysis
J Gardner, C Brooks, R Baker
Proceedings of the 9th International Conference on Learning Analytics …, 2019
232019
Replicating MOOC predictive models at scale
J Gardner, C Brooks, JM Andres, R Baker
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 1-10, 2018
162018
Evaluating predictive models of student success: Closing the methodological gap
J Gardner, C Brooks
Journal of Learning Analytics 5 (2), 105-125, 2018
142018
Dropout model evaluation in MOOCs
J Gardner, C Brooks
arXiv preprint arXiv:1802.06009, 2018
132018
How Gender Cues in Educational Video Impact Participation and Retention
C Brooks, J Gardner, K Chen
International Society of the Learning Sciences, Inc.[ISLS]., 2018
92018
Enabling End-To-End machine learning replicability: A case study in educational data mining
J Gardner, Y Yang, R Baker, C Brooks
arXiv preprint arXiv:1806.05208, 2018
72018
Coenrollment networks and their relationship to grades in undergraduate education
J Gardner, C Brooks
Proceedings of the 8th international conference on learning analytics and …, 2018
72018
Learn from your (markov) neighbor: Coenrollment, assortativity, and grade prediction in undergraduate courses
JP Gardner, C Brooks, W Li
Journal of Learning Analytics 5 (3), 42–59-42–59, 2018
52018
Driving with data: Modeling and forecasting vehicle fleet maintenance in Detroit
J Gardner, D Koutra, J Mroueh, V Pang, A Farahi, S Krassenstein, J Webb
arXiv preprint arXiv:1710.06839, 2017
52017
Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective.
J Gardner, Y Yang, RS Baker, C Brooks
International Educational Data Mining Society, 2019
42019
A statistical framework for predictive model evaluation in MOOCs
J Gardner, C Brooks
Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale, 269-272, 2017
42017
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments
T NeCamp, J Gardner, C Brooks
Proceedings of the 9th International Conference on Learning Analytics …, 2019
32019
MORF: A framework for predictive modeling and replication at scale with Privacy-Restricted MOOC data
J Gardner, C Brooks, JM Andres, RS Baker
2018 IEEE International Conference on Big Data (Big Data), 3235-3244, 2018
32018
Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data
J Gardner, J Mroueh, N Jenuwine, N Weaverdyck, S Krassenstein, ...
arXiv preprint arXiv:2002.10010, 2020
22020
Statistical Approaches to the Model Comparison Task in Learning Analytics
J Gardner, C Brooks
Workshop on Methodology in Learning Analytics (MLA) at 7th International …, 2017
22017
Toward Replicable Predictive Model Evaluation in MOOCs
J Gardner, C Brooks
Workshop and Tutorials Chairs, 354, 2017
22017
Driving with Data in the Motor City: Understanding and Predicting Fleet Maintenance Patterns
J Gardner, J Mroueh, N Jenuwine, N Waverdyck, S Krassenstein, A Farahi, ...
2020 IEEE 7th International Conference on Data Science and Advanced …, 2020
2020
Integrating syllabus data into student success models
J Gardner, O Onuoha, C Brooks
Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017
2017
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