HACC Faculty Guide to Artificial Intelligence

Hanover Research examines research literature, trade publications, and case studies highlighting emerging strategies in higher education to account for, or even incorporate, generative artificial intelligence when designing student assessments

In this paper, we argue that a particular set of issues mars traditional assessment practices.

The first in a 5-part series about the impact of artificial intelligence on education and research, exploring its potential applications and addressing issues of concern.

How to measure learning and protect academic integrity in the age of ChatGPT from Times Higher Education

Amir Ghapanchi offers seven ways to evaluate student learning that mitigate the impact of AI writers

Our review focuses on the use of artificial intelligence in collaborative teacher–student learning, intelligent tutoring systems, automated assessment, and personalized learning.

Simple ways you can use gen AI to help you draft and refine assessments for your courses so you can focus your attention on what matters most: engaging your students in the learning.

Blog post from Teaching@Sydney, The University of Sydney

Blog post from the faculty blog, Teaching@Tufts, Tufts University

Blog post from Teaching@Sydney, The University of Sydney