2 citations · 2 across the 3 of their papers we have counts for
4 papers
LINK: A Corpus-Grounded Design Pattern Library for Educational Technologies
Lorena Lyon, Hyoungwook Jin, Vincent Cavez +3
Designing learning interfaces is often an ill-structured problem: effective solutions depend on learning goals, subject matter, learner characteristics, and interaction context tha…
ConvoLearn: A Learning Sciences Grounded Dataset for Fine-Tuning Dialogic AI Tutors
Mayank Sharma, Roy Pea, Hari Subramonyam
Despite their growing adoption in education, LLMs remain misaligned with the core principle of effective tutoring: the dialogic construction of knowledge. We introduce ConvoLearn,…
A Conceptual Framework for Ethical Evaluation of Machine Learning Systems
Neha R. Gupta, Jessica Hullman, Hari Subramonyam
Research in Responsible AI has developed a range of principles and practices to ensure that machine learning systems are used in a manner that is ethical and aligned with human val…
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems
Shreya Rajagopal, Jae Ho Sohn, Hari Subramonyam +1
Generative AI systems such as ChatGPT and Claude are built upon language models that are typically evaluated for accuracy on curated benchmark datasets. Such evaluation paradigms m…