Algorithmic bias in education RS Baker, A Hawn International journal of artificial intelligence in education, 1-41, 2022 | 509 | 2022 |
Predicting K-12 Dropout RS Baker, AW Berning, SM Gowda, S Zhang, A Hawn Journal of Education for Students Placed at Risk, 1-20, 2019 | 48 | 2019 |
Guidance counselor reports of the ASSISTments college prediction model (ACPM) J Ocumpaugh, RS Baker, MOCZ San Pedro, MA Hawn, C Heffernan, ... Proceedings of the Seventh International Learning Analytics & Knowledge …, 2017 | 14 | 2017 |
Data Visualization, Dashboards, and Evidence Use in Schools: Data Collaborative Workshop Perspectives of Educators, Researchers, and Data Scientists. AJ Bowers Grantee Submission, 2021 | 7 | 2021 |
Data-wary, value-driven: Teacher attitudes, efficacy, and online access for data-based decision making A Hawn Columbia University, 2019 | 5 | 2019 |
Algorithmic bias: The state of the situation and policy recommendations RS Baker, A Hawn, S Lee OECD, 2023 | 4 | 2023 |
The bridge report: bringing learning analytics to low-income, urban schools A Hawn Proceedings of the fifth international conference on learning analytics and …, 2015 | 3 | 2015 |