AI & Education: Home

This brief article reviews ways that instructors are revisiting the research paper in light of programs like ChatGPT. All IRSC employees have full access to the Chronicle of Higher Education. If you have not already created your own personal account for off-campus access, log in here: https://go.openathens.net/redirector/irsc.edu?url=http://chronicle.com

A Forbes article that considers the ways that AI can impact retention in higher education.

This article considers the ways in which higher education is working with AI, and if these ways are productive ways to move forward. This article also contains links to the most recent opinions and think pieces about AI in higher education, and serves as a great starting point.

Look at any high school or college academic integrity policy, and you’ll find the same message: submit work that reflects your own thinking, or face discipline. A year ago, this was just about the most common-sense rule on Earth. Today, it’s laughably naive.

This free resources provides administrators and faculty with fundamental information about GenAI and its bearing on instruction and institutional policies. Eminently practical and informed by the latest (and forthcoming) technical developments, Talking about Generative AI will be a boon to anyone who is suddenly confronted with the problem of how to understand and address GenAI’s impacts.

A “robot-proof” education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society—a scientific proof, a hip-hop recording, a web comic, a cure for cancer. Aoun lays out the framework for a new discipline, humanics, which builds on our innate strengths and prepares students to compete in a labor market in which smart machines work alongside human professionals. The new literacies of Aoun's humanics are data literacy, technological literacy, and human literacy. Students will need data literacy to manage the flow of big data, and technological literacy to know how their machines work, but human literacy—the humanities, communication, and design—to function as a human being. Life-long learning opportunities will support their ability to adapt to change.

This IEEE article provides a general overview of all the ways in which AI has been implemented in higher education, from administration to pedagogy.

This article shows the ethical considerations of AI in education, focusing on the ways that humans create & interpret the data created by these programs.

The new challenges of the information society demand from the university a severe change in its rigid canons of education. The artificial intelligence-based formats promise a very substantial improvement in education for all the different levels, with an unprecedented qualitative improvement: to provide the students with an accurate personalization of their learning according to their requirements, managing to integrate the different forms of human interaction and information and communications technologies.

As deeply student-centered institutions, community colleges are uniquely positioned to help students navigate the changes that ChatGPT (and other LLMs) will drive in education, work, and beyond. This whitepaper delves into a technical explanation of how these models work, interviews with real community college leaders, and predictions for how innovation institutions will use AI to improve student success.

Generative artificial intelligence (AI) is ushering in an era of potential transformation of journalism and media content. This essay considers one notable generative AI platform called ChatGPT made available to the public in 2022 for free use. ChatGPT allows users to enter text prompts and rapidly generates text responses drawn from its knowledge acquired via machine learning in engagement with the internet. This essay is coauthored by a human journalism and media professor in collaboration with ChatGPT. The essay demonstrates the capacity and limitations of ChatGPT and offers reflections on the implications of generative AI for journalism and media education.