collaborators

5 papers

cs.CL2026

PromptNCE: Pointwise Mutual Information Predictions Using Only LLMs and Contrastive Estimation Prompts

Juliette Woodrow, Chris Piech

Estimating mutual information from text usually requires training a task-specific critic, which limits its use in low-data settings. We ask whether large language models can instea…

cs.CY2026

The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?

Jennifer Meyer, Olaf Köller, Thorben Jansen +33

With digital learning environments becoming more prevalent, the ease with which generative AI enables the scalable production of real-time, automated feedback holds the potential t…

cs.CY2026

EducaSim: Interactive Simulacra for CS1 Instructional Practice

Cameron Mohne, Nicholas Vo, Dora Demszky +1

Role play is a high-impact mode of training that has demonstrated its effectiveness in improving learning outcomes. However, it is difficult to scale to teacher instruction due to…

cs.HC2026

Protecting and Promoting Human Agency in Education in the Age of Artificial Intelligence

Olga Viberg, Mutlu Cukurova, Rene F. Kizilcec +12

Human agency is crucial in education and increasingly challenged by the use of generative AI. This meeting report synthesizes interdisciplinary insights and conceptualizes four asp…

cs.CY2025

The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances

Allen Nie, Yash Chandak, Miroslav Suzara +6

Large language models (LLMs) are quickly being adopted in a wide range of learning experiences, especially via ubiquitous and broadly accessible chat interfaces like ChatGPT and Co…