Kenneth Holstein
Cited by
Cited by
Improving fairness in machine learning systems: What do industry practitioners need?
K Holstein, JW Vaughan, H Daumé III, M Dudík, H Wallach
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
Ethics of AI in education: Towards a community-wide framework
W Holmes, K Porayska-Pomsta, K Holstein, E Sutherland, T Baker, ...
International Journal of Artificial Intelligence in Education 32 (3), 504-526, 2022
Co-designing a real-time classroom orchestration tool to support teacher–AI complementarity
K Holstein, BM McLaren, V Aleven
Journal of Learning Analytics, 2019
Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms
K Holstein, B McLaren, V Aleven
🏆 Proceedings of the 19th International Conference on Artificial …, 2018
Intelligent tutors as teachers' aides: Exploring teacher needs for real-time analytics in blended classrooms
K Holstein, BM McLaren, V Aleven
Proceedings of the seventh international learning analytics & knowledge …, 2017
The Classroom as a Dashboard: Co-designing Wearable Cognitive Augmentation for K-12 Teachers
K Holstein, G Hong, M Tegene, BM McLaren, V Aleven
Proceedings of the Eighth International Learning Analytics & Knowledge …, 2018
Designing for Complementarity: Teacher and Student Needs for Orchestration Support in AI-Enhanced Classrooms.
K Holstein, BM McLaren, V Aleven
🏆 Proceedings of the 20th International Conference on Artificial …, 2019
A conceptual framework for human–AI hybrid adaptivity in education
K Holstein, V Aleven, N Rummel
Artificial Intelligence in Education: 21st International Conference, AIED …, 2020
Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors
H Shen, A DeVos, M Eslami, K Holstein
Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-29, 2021
Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support
A Kawakami, V Sivaraman, HF Cheng, L Stapleton, Y Cheng, D Qing, ...
🏆 Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022
Equity and Artificial Intelligence in Education: Will "AIEd" Amplify or Alleviate Inequities in Education?
K Holstein, S Doroudi
arXiv preprint arXiv:2104.12920, 2021
The TA Framework: Designing real-time teaching augmentation for K-12 classrooms
P An, K Holstein, B d’Anjou, B Eggen, S Bakker
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 2020
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits
WH Deng, M Nagireddy, MSA Lee, J Singh, ZS Wu, K Holstein, H Zhu
Proceedings of the 2022 Conference on Fairness, Accountability, and …, 2022
How child welfare workers reduce racial disparities in algorithmic decisions
HF Cheng, L Stapleton, A Kawakami, V Sivaraman, Y Cheng, D Qing, ...
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
Toward User-Driven Algorithm Auditing: Investigating users’ strategies for uncovering harmful algorithmic behavior
A DeVos, A Dhabalia, H Shen, K Holstein, M Eslami
Proceedings of the 2022 CHI conference on human factors in computing systems …, 2022
Designing for human–AI complementarity in K‐12 education
K Holstein, V Aleven
AI Magazine 43 (2), 239-248, 2021
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
L Stapleton, MH Lee, D Qing, M Wright, A Chouldechova, K Holstein, ...
2022 ACM Conference on Fairness, Accountability, and Transparency, 1162-1177, 2022
Fairness and equity in learning analytics systems (FairLAK)
K Holstein, S Doroudi, T Fikes, K Jones, C McCoy, M Meaney, D Lang
Companion Proceedings of the Ninth International Learning Analytics …, 2019
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
F Gmeiner, H Yang, L Yao, K Holstein, N Martelaro
🏆 Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
“Why Do I Care What’s Similar?” Probing Challenges in AI-Assisted Child Welfare Decision-Making through Worker-AI Interface Design Concepts
A Kawakami, V Sivaraman, L Stapleton, HF Cheng, A Perer, ZS Wu, ...
Designing Interactive Systems Conference, 454-470, 2022
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