Instructors


Student in foreground raising their hand with classroom and instructor in the background

Guidance for Instructors

As Generative Artificial Intelligence (AI) evolves, its integration into our academic environment at the University of Kansas (KU) offers unprecedented opportunities for enhancing teaching and learning. We are committed to leveraging AI to support innovative teaching methods, enrich course content, and streamline administrative tasks. Our approach is guided by our values of collaboration, equity, excellence, integrity, and respect, ensuring that AI tools are used ethically and effectively to benefit both educators and students.

Center for Teaching Excellence

KU's Center for Teaching Excellence (CTE) provides considerable guidance on many aspects of adapting courses to generative AI. Its page of resources related to generative AI is a good place to start. Those resources include guidance on syllabus language, academic integrity, ethics, prompting, and getting started with generative AI. The page has articles, videos, and podcasts in which faculty members talk about use of generative AI.


Canvas Modules

CTE has also created AI-related modules for use in classes. Those modules, which are available in Canvas, include: What is generative AI and how does it work? How is generative AI being used? The dark side of generative AI, including modules on academic integrity, intellectual property, bias, fabrication, privacy, environmental impact, and AI's impact on humanity. How to approach prompting AI and the future of work and society. Contact Doug Ward at dbward@ku.edu if you would like to be added to the AI course modules.


Resources from KU Colleagues

KU faculty and staff are researching and writing about artificial intelligence and the intersection with teaching and curricula. 

How Universities Can Move Forward With Generative AI in Teaching and Learning 
by Doug Ward et al. Change: The Magazine of Higher Learning 56:1 (2024), 47-54.

A Blueprint for an AI Bill of Rights for Education 
by Kathryn Conrad. Critical AI blog (July 2023).

Critical AI Literacy for Educators 
a Padlet curated by Kathryn Conrad and Sean Kamperman of the KU English Department. It includes excellent resources on AI literacy, ethics, plagiarism and academic misconduct, policies, potential applications, and tools.

How We Can Turn AI Into an Opportunity Rather Than a Threat 
by Doug Ward. Academic Leader  (2 January 2024).

Indecision About AI in Classes Is So Last Week 
by Doug Ward and colleagues from the Bay View Alliance. Inside Higher Ed (1 December 2023).

The bots are here to stay. Do we deny or do we adapt? 
by Doug Ward, Bloom’s Sixth (20 January 2023).


Resources from Other Universities

AI Pedagogy Project, via metaLab at Harvard. Material about generative AI and examples of its use in classes.

AI Text Generators and Teaching Writing: Starting Points for Inquiry, curated by Anna Mills of the College of Marin and hosted by Colorado State University.

The practical guide to using AI to do stuff, by Ethan Mollick of the Wharton School of Business.

Class policies on use of generative AI, compiled by Lance Eaton of Northeastern University. Material from instructors at several universities.