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Josh Gardner
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Publications
- 2023
- [i18]Josh Gardner, Renzhe Yu, Quan Nguyen, Christopher Brooks, René F. Kizilcec:
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity. CoRR abs/2305.00927 (2023) - 2019
- [c12]Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks:
Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective. EDM 2019 - [c11]Josh Gardner, Christopher Brooks, Ryan Baker:
Evaluating the Fairness of Predictive Student Models Through Slicing Analysis. LAK 2019: 225-234 - [c10]Timothy NeCamp, Josh Gardner, Christopher Brooks:
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. LAK 2019: 539-548 - 2018
- [j1]Josh Gardner, Christopher Brooks:
Student success prediction in MOOCs. User Model. User Adapt. Interact. 28(2): 127-203 (2018) - [c9]Josh Gardner, Christopher Brooks:
Dropout Model Evaluation in MOOCs. AAAI 2018: 7906-7912 - [c8]Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan S. Baker:
MORF: A Framework for Predictive Modeling and Replication At Scale With Privacy-Restricted MOOC Data. IEEE BigData 2018: 3235-3244 - [c7]Christopher Brooks, Josh Gardner, Kaifeng Chen:
How Gender Cues in Educational Video Impact Participation and Retention. ICLS 2018 - [c6]Josh Gardner, Christopher Brooks:
Coenrollment networks and their relationship to grades in undergraduate education. LAK 2018: 295-304 - [c5]Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan Baker:
Replicating MOOC predictive models at scale. L@S 2018: 1:1-1:10 - [i7]Josh Gardner, Christopher Brooks, Juan Miguel L. Andres, Ryan S. Baker:
MORF: A Framework for MOOC Predictive Modeling and Replication At Scale. CoRR abs/1801.05236 (2018) - [i6]Josh Gardner, Christopher Brooks:
Evaluating Predictive Models of Student Success: Closing the Methodological Gap. CoRR abs/1801.08494 (2018) - [i5]Josh Gardner, Christopher Brooks:
Dropout Model Evaluation in MOOCs. CoRR abs/1802.06009 (2018) - [i4]Josh Gardner, Yuming Yang, Ryan S. Baker, Christopher Brooks:
Enabling End-To-End Machine Learning Replicability: A Case Study in Educational Data Mining. CoRR abs/1806.05208 (2018) - [i3]Timothy NeCamp, Josh Gardner, Christopher Brooks:
Beyond A/B Testing: Sequential Randomization for Developing Interventions in Scaled Digital Learning Environments. CoRR abs/1810.11185 (2018) - 2017
- [c4]Josh Gardner, Christopher Brooks:
Toward Replicable Predictive Model Evaluation in MOOCs. EDM 2017 - [c3]Josh Gardner, Christopher Brooks:
Statistical Approaches to the Model Comparison Task in Learning Analytics. MLA/BLAC@LAK 2017 - [c2]Josh Gardner, Ogechi Onuoha, Christopher Brooks:
Integrating syllabus data into student success models. LAK 2017: 586-587 - [c1]Josh Gardner, Christopher Brooks:
A Statistical Framework for Predictive Model Evaluation in MOOCs. L@S 2017: 269-272 - [i1]Josh Gardner, Christopher Brooks:
Student Success Prediction in MOOCs. CoRR abs/1711.06349 (2017)
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