Codes for "ChatGPT Comes to Campus: Unveiling Core Themes in AI Policies Across U.S. Universities with Large Language Models", accepted in SIGCSE 2025.

About

• This study aims to bridge this gap by identifying core themes surrounding AI policies and guidelines across the top 50 U.S. universities.
• Given the labor- and time-intensive nature required to manually synthesize multiple policy documents across many institutions, we leverage large language models (LLMs) to identify common and prevalent themes.

Table of Contents

Codes for analysis

1_summarizer
2_theme_identification
3_identifying_final_set_of_common_themes results

assets

css js sass webfonts images elements.html generic.html index.html

Codes for analysis contains all the source codes used to perform the analysis (i.e., identify the themes).

The other codes are for the accompanying webpage designed to provide practioners with a user-friendly guideline. Index serves as the main homepage of the webpage.