74 citations · 171 across the 12 of their papers we have counts for
6 papers · 1 filter
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education
Mei Tan, Hansol Lee, Dakuo Wang +1
Despite the promises of ML in education, its adoption in the classroom has surfaced numerous issues regarding fairness, accountability, and transparency, as well as concerns about…
More than Model Documentation: Uncovering Teachers' Bespoke Information Needs for Informed Classroom Integration of ChatGPT
Mei Tan, Hariharan Subramonyam
ChatGPT has entered classrooms, but not via the typical route of other educational technology, which includes comprehensive training, documentation, and vetting. Consequently, teac…
Bridging the Gulf of Envisioning: Cognitive Design Challenges in LLM Interfaces
Hariharan Subramonyam, Roy Pea, Christopher Lawrence Pondoc +2
Large language models (LLMs) exhibit dynamic capabilities and appear to comprehend complex and ambiguous natural language prompts. However, calibrating LLM interactions is challeng…
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research
Hariharan Subramonyam, Jessica Hullman
Visualization for machine learning (VIS4ML) research aims to help experts apply their prior knowledge to develop, understand, and improve the performance of machine learning models…
Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Prompts
Tyler Angert, Miroslav Ivan Suzara, Jenny Han +2
Creative coding tasks are often exploratory in nature. When producing digital artwork, artists usually begin with a high-level semantic construct such as a "stained glass filter" a…
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks
Steven Moore, Q. Vera Liao, Hariharan Subramonyam
To design with AI models, user experience (UX) designers must assess the fit between the model and user needs. Based on user research, they need to contextualize the model's behavi…