KU Center for Teaching Excellence AI Resources

Since late 2022, the growing presence of artificial intelligence has led to big questions about how AI will change teaching and learning. The resources on this page are intended to help address those questions. They consist of materials to help you understand how generative AI may affect courses and curricula, how you can talk with students about AI, and how you can start to use AI in teaching.
CTE AI Articles & Resources
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Adapting Your Course to Artificial Intelligence
Since the release of artificial intelligence software known as OpenAI, discussions have grown about how artificial intelligence might change jobs, disciplines, societies, and even the way we think. On this page, we offer suggestions on how you can create and adapt assignments that work with AI.
AI-Related Steps to Take Now
Suggestions on creating syllabus language about AI use in class, on having discussions with students, on how to start using generative AI, and on other considerations for the short and long term.
Easing Into Generative AI
Instructors essentially have three choices as they decide how to approach the use of generative artificial intelligence in their classes: Do nothing, ease into AI use, or go all in with adopting AI. Take a closer look at each path and decide what's right for you.
AI as tutor on research projects
Generative AI certainly has the capability to help with writing and coding, but its skills as a tutor have enormous potential in helping students narrow ideas for papers, learn more about the research process, clarify questions about organizing and focusing their writing, and ask questions when they are working on their own.
Helping students understand the biases in generative AI
Bias is an inherent part of who we are, what we know, and what we have experienced. The materials on this page are intended to help instructors and students analyze and discuss the biases and ethics of generative artificial intelligence.
Department Level AI Policy Deveopment
Strategic guidance for developing unit-level artificial intelligence policies that balance innovation with academic integrity, helping departments create clear guidelines for AI use in teaching, learning, and assessment.
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Choosing a Path on Teaching with Generative AI
Generative AI can seem mysterious, intimidating, and even threatening. Here are some concrete ways instructors can introduce generative AI into their classes and learn about it as they go.
Prompting AI Chatbots
Getting AI-enhanced chatbots to provide the information and format you want takes experimentation and patience. This page focuses on prompts for extracting information from large language models like ChatGPT, Bing Chat, Bard, or Claude.
Academic Integrity in AI Era
Adapting to AI will be crucial for our students and our institutions, but it will also be crucial for democracy. We agree with the U.S. Department of Education, which said in May 2023 that it was “imperative to address AI in education now to realize key opportunities, prevent and mitigate emergent risks, and tackle unintended consequences.”
FAQs About AI and Teaching
Have a question about AI and teaching? We will do our best to answer. To start, we have created FAQs about generative AI in education. Let us know other questions we should address.
Ethical use of AI in writing assignments
The use of generative artificial intelligence in writing isn’t an either/or proposition. Rather, think of a continuum in which AI can be used at nearly any point to inspire, ideate, structure, and format writing. It can also help with research, feedback, summarization, and creation.
Building AI policies into your syllabus
A good syllabus policy should be clear and concise, but it should also encourage students to ask questions if they are uncertain about anything. Find different policy examples you can use on this updated syllabus resources page.
Bloom's Sixth Blog AI Posts
AI trends that are shaping the future of education
How a new Copilot tool might be used in teaching
CTE AI Podcasts
Why Students Use Generative AI
CTE Faculty Fellows Benjamin Rosenthal and Sarah Wilson join Associate Director Doug Ward to explore how and why students are turning to generative AI. From time-saving tools to workplace prep, students are using AI in ways that challenge traditional classroom expectations.
In this episode, you will hear:
- AI is everywhere: Students use it not just for coursework, but also for everyday tasks like budgeting and communication.
 - Efficiency matters: With many students working long hours or managing family responsibilities, AI helps them manage time and workload.
 - Mixed messages: Students are told not to use AI in class but are also expected to know how to use it in the workplace.
 - Not a monolith: Student attitudes toward AI vary widely—some embrace it, others reject it on ethical or environmental grounds.
 - Digital native myth: Younger students may be more comfortable with AI, but that doesn’t mean they understand how it works or use it effectively.
 - Faculty responsibility: The conversation emphasizes the need for instructors to adapt, communicate clearly, and design meaningful assignments that align with learning goals.
 
Adapting Courses to Generative AI
In this episode, CTE Faculty Fellows Benjamin Rosenthal and Sarah Wilson join Associate Director Doug Ward to explore how faculty can respond to the rise of AI in the classroom. From rethinking assessments to building trust and transparency, they offer practical strategies and thoughtful reflections on how to integrate AI into learning
In this episode, you will hear:
- Start with learning goals: Revisit your course objectives and ask how AI impacts them. Then adjust assessments to support meaningful learning.
 - Focus on process over product: Encourage students to engage with the learning journey, not just the final result.
 - Use oral assessments: In-person grading conversations can build trust, reduce cheating, and improve learning outcomes.
 - Be transparent: Clearly communicate your expectations around AI use. Every course should have an AI policy.
 - Address equity: Recognize that not all students have equal access to AI tools—and that misuse detection tools can be biased.
 - Promote AI literacy: Help students understand how generative AI works, its limitations, and how to evaluate its output critically.
 - Experiment and evolve: You don’t need to be an expert. Try small changes, learn from others, and adapt as the technology evolves.