37 citations · 113 across the 14 of their papers we have counts for
14 papers
How Notations Evolve: A Historical Analysis with Implications for Supporting User-Defined Abstractions
Jingyue Zhang, J. D. Zamfirescu-Pereira, Elena L. Glassman +2
Traditional human-computer interaction takes place through formally-specified systems like structured UIs and programming languages. Recent AI systems promise a new set of informal…
Beyond Code Generation: LLM-supported Exploration of the Program Design Space
J. D. Zamfirescu-Pereira, Eunice Jun, Michael Terry +2
In this work, we explore explicit Large Language Model (LLM)-powered support for the iterative design of computer programs. Program design, like other design activity, is character…
Rambler in the Wild: A Diary Study of LLM-Assisted Writing With Speech
Xuyu Yang, Wengxi Li, Matthew G. Lee +3
Speech-to-text technologies have been shown to improve text input efficiency and potentially lower the barriers to writing. Recent LLM-assisted dictation tools aim to support writi…
Pensieve Discuss: Scalable Small-Group CS Tutoring System with AI
Yoonseok Yang, Jack Liu, J. D. Zamfirescu-Pereira +1
Small-group tutoring in Computer Science (CS) is effective, but presents the challenge of providing a dedicated tutor for each group and encouraging collaboration among group membe…
A Knowledge-Component-Based Methodology for Evaluating AI Assistants
Laryn Qi, J. D. Zamfirescu-Pereira, Taehan Kim +3
We evaluate an automatic hint generator for CS1 programming assignments powered by GPT-4, a large language model. This system provides natural language guidance about how students…
61A Bot Report: AI Assistants in CS1 Save Students Homework Time and Reduce Demands on Staff. (Now What?)
J. D. Zamfirescu-Pereira, Laryn Qi, Björn Hartmann +2
LLM-based chatbots enable students to get immediate, interactive help on homework assignments, but even a thoughtfully-designed bot may not serve all pedagogical goals. We report h…