Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity-Reference-Cited by-同舟云学术

Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 ACM Conference on Fairness, Accountability, and Transparency
language:
Short-container-title:

Author:

Gardner Joshua¹^ORCID,Yu Renzhe²^ORCID,Nguyen Quan³^ORCID,Brooks Christopher⁴^ORCID,Kizilcec Rene⁵^ORCID

Affiliation:

1. University of Washington, USA

2. Teachers College, Columbia University, USA

3. University of British Columbia, Canada

4. University of Michigan, USA

5. Cornell University, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3593013.3594107

Reference77 articles.

1. Deep Learning with Differential Privacy

2. Orevaoghene Ahia , Julia Kreutzer , and Sara Hooker . 2021. The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation. arXiv preprint arXiv:2110.03036 ( 2021 ). Orevaoghene Ahia, Julia Kreutzer, and Sara Hooker. 2021. The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation. arXiv preprint arXiv:2110.03036 (2021).

3. Izzat Alsmadi , ZW Taylor , and Joshua Childs. 2020. US News & World Report Best Colleges rankings : Which institutional metrics contribute to sustained stratification?Scientometrics 124, 3 ( 2020 ), 1851–1869. Izzat Alsmadi, ZW Taylor, and Joshua Childs. 2020. US News & World Report Best Colleges rankings: Which institutional metrics contribute to sustained stratification?Scientometrics 124, 3 (2020), 1851–1869.

4. Sattar Ameri , Mahtab J. Fard , Ratna B. Chinnam , and Chandan K. Reddy . 2016. Survival analysis based framework for early prediction of student dropouts . In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM ’16) . Association for Computing Machinery, New York, NY, USA, 903–912. https://doi.org/10.1145/2983323.2983351 10.1145/2983323.2983351 Sattar Ameri, Mahtab J. Fard, Ratna B. Chinnam, and Chandan K. Reddy. 2016. Survival analysis based framework for early prediction of student dropouts. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM ’16). Association for Computing Machinery, New York, NY, USA, 903–912. https://doi.org/10.1145/2983323.2983351

5. Noah Arthurs and AJ Alvero . 2020 . Whose Truth is the “Ground Truth”? College Admissions Essays and Bias in Word Vector Evaluation Methods . In Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020). 342–349. Noah Arthurs and AJ Alvero. 2020. Whose Truth is the “Ground Truth”? College Admissions Essays and Bias in Word Vector Evaluation Methods. In Proceedings of the 13th International Conference on Educational Data Mining (EDM 2020). 342–349.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning;Proceedings of the Eleventh ACM Conference on Learning @ Scale;2024-07-09

2. Implementing equitable and intersectionality‐aware ML in education: A practical guide;British Journal of Educational Technology;2024-05-23

3. Contexts Matter but How? Course-Level Correlates of Performance and Fairness Shift in Predictive Model Transfer;Proceedings of the 14th Learning Analytics and Knowledge Conference;2024-03-18

4. When the Past != The Future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models;IEEE Transactions on Learning Technologies;2024

5. Federated Learning Analytics: Investigating the Privacy-Performance Trade-Off in Machine Learning for Educational Analytics;Lecture Notes in Computer Science;2024