Generative Artificial Intelligence in Higher Education: Evidence from an Analysis of Institutional Policies and Guidelines

Nora McDonald, Aditya Johri, Areej Ali, Aayushi Hingle
1/12/2024
cs.CYcs.AI

No confident code implementation found for this paper. 2 possible matches can be shown below.

Abstract

The release of ChatGPT in November 2022 prompted a massive uptake of generative artificial intelligence (GenAI) across higher education institutions (HEIs). HEIs scrambled to respond to its use, especially by students, looking first to regulate it and then arguing for its productive integration within teaching and learning. In the year since the release, HEIs have increasingly provided policies and guidelines to direct GenAI. In this paper we examined documents produced by 116 US universities categorized as high research activity or R1 institutions to comprehensively understand GenAI related advice and guidance given to institutional stakeholders. Through an extensive analysis, we found the majority of universities (N=73, 63%) encourage the use of GenAI and many provide detailed guidance for its use in the classroom (N=48, 41%). More than half of all institutions provided sample syllabi (N=65, 56%) and half (N=58, 50%) provided sample GenAI curriculum and activities that would help instructors integrate and leverage GenAI in their classroom. Notably, most guidance for activities focused on writing, whereas code and STEM-related activities were mentioned half the time and vaguely even when they were (N=58, 50%). Finally, more than one half of institutions talked about the ethics of GenAI on a range of topics broadly, including Diversity, Equity and Inclusion (DEI) (N=60, 52%). Overall, based on our findings we caution that guidance for faculty can become burdensome as extensive revision of pedagogical approaches is often recommended in the policies.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 2 weaker matches are hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{mcdonald2024generative,
  title  = {Generative Artificial Intelligence in Higher Education: Evidence from an Analysis of Institutional Policies and Guidelines},
  author = {Nora McDonald and Aditya Johri and Areej Ali and Aayushi Hingle},
  year   = {2024},
  eprint = {2402.01659},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2402.01659v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2402.01659.svg)](https://codeofpaper.com/paper/2402.01659)

Discussion