I am a PhD candidate in the Human-Computer Interaction Institute at Carnegie Mellon University, working with Vincent Aleven. I am also a fellow of the PIER Program in Interdisciplinary Education Research.
My research responds to encroaching automation across various economic sectors, with a special focus on "caring professions" such as teaching, nursing, and social work. I work with stakeholders, in context, to co- design and develop effective human-AI partnerships that leverage complementary strengths (and mitigate complementary biases) of human and AI decision-makers.
In my PhD, I focus on co-designing, developing, deploying, and evaluating AI systems that augment and amplify K-12 teachers' abilities, instead of trying to replace them. I explore the evolving roles of teachers as AI increasingly enters K-12 classrooms, and investigate how human and AI instruction might most effectively be combined.
Holstein, K., Wortman Vaughan, J., Daumé III, H., Dudík, M., Wallach, H. (to appear). Improving fairness in machine learning systems: What do industry practitioners need? To appear in Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (CHI’19). ACM. [arXiv preprint]
Holstein, K., McLaren, B. M., & Aleven, V. (2018). Student learning benefits of a mixed-reality teacher awareness tool in AI-enhanced classrooms. In Proceedings of the 19th International Conference on Artificial Intelligence in Education (AIED 2018). LNAI 10947 (pp. 154-168). Springer: Berlin. [pdf] *Best Paper Award*
Holstein, K., Hong, G., Tegene, M., McLaren, B. M., & Aleven, V. (2018). The Classroom as a Dashboard: Co-designing wearable cognitive augmentation for K-12 teachers. In Proceedings of the Eighth International Learning Analytics & Knowledge Conference (LAK'18). pp. 79-88. ACM. [link] [pdf]