30 citations · 39 across the 4 of their papers we have counts for
5 papers
PromptNCE: Conditional Probabilities and PMI 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…
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…
TeachNow: Enabling Teachers to Provide Spontaneous, Realtime 1:1 Help in Massive Online Courses
Ali Malik, Juliette Woodrow, Chao Wang +1
One-on-one help from a teacher is highly impactful for students, yet extremely challenging to support in massive online courses (MOOCs). In this work, we present TeachNow: a novel…
AI Teaches the Art of Elegant Coding: Timely, Fair, and Helpful Style Feedback in a Global Course
Juliette Woodrow, Ali Malik, Chris Piech
Teaching students how to write code that is elegant, reusable, and comprehensible is a fundamental part of CS1 education. However, providing this "style feedback" in a timely manne…
Learners Teaching Novices: An Uplifting Alternative Assessment
Ali Malik, Juliette Woodrow, Chris Piech
We propose and carry-out a novel method of formative assessment called Assessment via Teaching (AVT), in which learners demonstrate their understanding of CS1 topics by tutoring mo…