AI tools like ChatGPT, which use machine learning to generate text, video, or images, are disrupting higher education. However, relying on these tools has limitations, such as the inability to make qualitative judgments or verify content citations. Instructors should carefully consider how to adapt to these developments.
Digital Accessibility
How Artificial Intelligence is Improving Digital Accessibility: This blog post shares ways to enhance digital accessibility including the use of automated captioning, image recognition, and the ability to summarize long texts.
Access & Equity
Framework for Accessible and Equitable Artificial Intelligence (AI) in Education: A practical guide by the Inclusive Design Research Centre focuses on how AI can benefit us all, it can address inequities, and it can lower barriers for people with disabilities in education. However, it can equally be used to amplify inequities (intentional and unintended), including discrimination against people who do not fit a “norm."
Academic Integrity
Addressing Academic Integrity in the Age of AI : A three part series exploring how instructors can adapt assessments and learning activities in a world where students have access to advanced AI tools.
Can Instructors Detect AI-Generated Papers?: Twenty experienced post-secondary writing teachers were asked to grade four essays and attempted to identify which essays were AI-generated. Spoiler alert: Only 35% could.
Integrating AI into your Teaching
Let ChatGPT Be Your Teaching Assistant: This blog post shares ideas for using AI to lighten your workload.
Using AI to Implement Effective Teaching Strategies in Classrooms: Five Strategies, Including Prompts: This paper provides guidance for using AI to quickly and easily implement evidence-based teaching strategies that instructors can integrate into their teaching.
Rethinking Learning Outcomes in the Age of AI: A guide by Oregon State University to reflect on activities, assessments, and (possibly) course outcomes in today's world of AI.
Syllabus Statement Examples: The CLAS AI Working Group at CU Denver developed a set of syllabus statement examples that instructors can incorporate into their syllabi.
AI Pedagogy Project: A collection of resources for educators curious about how AI affects their students and their syllabi, developed by MetaLAB (at) Harvard.