Teaching and learning with generative AI
ASU's approach to artificial intelligence is rooted in Principled Innovation, empowering you to use AI thoughtfully and responsibly.
We’re committed to providing the tools and support you need to harness AI’s potential while prioritizing ethical and inclusive practices in your teaching.
AI can enhance your teaching and enrich the student experience. This website shares knowledge and resources to help you bring AI into your classroom with confidence and purpose. Here, you’ll find best practices, case studies and workshops on incorporating AI tools in ways that foster academic integrity, engagement and inclusivity.
Resources for teaching and learning
Generative AI has the potential to address some of the most complex challenges in education. As educators and students, we face a new frontier in which the distinction between content generated by AI and humans is rapidly blurring. The following resources can aid you as we navigate this new world of AI.
Learn how to weave generative AI into your courses
To learn methods on how to fold generative AI into your teaching, you can participate in "Teaching and Learning with Generative AI," a self-paced course designed by university experts to support generative AI usage by faculty and staff. This course includes foundational information about generative AI and ideas on how to implement it in your courses. It’s not necessary to finish the entire course — each module can be completed individually to give you immediate access to the information you need.
How to talk about generative AI in your syllabus
Whether you plan to incorporate generative AI into your courses or avoid it altogether, we can help you explain your policies in your course syllabus. See sample language here.
Citing generative AI models in academic works
The ASU Library Guide on Citing Generative AI Models shares examples of how to cite usage of generative AI in the most common academic styles.
An ongoing resource
As generative AI conversations unfold, this website will be updated with resources for the ASU community. Our goal is to approach generative AI in a way that embraces its benefits while offering recommendations and guidelines on how to prevent its misuse.
If you have feedback about these resources or others you would like to see, please provide it here.
What is generative AI?
Generative AI is a type of artificial intelligence that can create new content — such as text, images, videos, music, artwork and synthetic data — based on user input. By analyzing large datasets, these AI systems learn patterns and structures, enabling them to generate content similar in style and characteristics to the original material used in training. This process uses machine learning models, including complex neural networks, to produce results that reflect the characteristics of human-created content.
Examples of generative AI include popular tools such as ChatGPT, DALL-E and StableDiffusion. Each application functions differently:
Moving beyond capability: responsible use for equity and access
As we integrate generative AI into educational contexts, the question is no longer just, "What can AI do?" but "Just because we can, should we?" Generative AI has enormous potential to innovate teaching practices, enhance engagement and support individualized learning experiences. However, responsible use is critical, especially when considering equity and access across diverse communities.
By adopting a human-centered approach, we aim to ensure that generative AI in education supports inclusive practices, providing equitable learning opportunities for all. This involves using AI thoughtfully and ethically, ensuring it doesn’t reinforce biases or create barriers but rather opens doors for underserved communities and provides accessible resources for a wider range of learners.
AI with purpose: a commitment to responsible innovation
Our approach to generative AI emphasizes responsible innovation that aligns with ASU's values of equity, inclusivity and access. This means continuously evaluating AI's impact on all communities and making purposeful decisions about when and how to use this technology to genuinely improve educational experiences. As we move forward, our focus is on using AI not only to address educational challenges, but to do so in a way that respects and uplifts all learners.
Want to know more?
Ready to deepen your understanding of generative AI? Join us for a variety of workshops and training sessions designed to support faculty in exploring the potential and responsible use of AI in education. These sessions offer hands-on experience, practical guidance and insights from ASU experts to help you integrate AI tools thoughtfully and effectively into your teaching.
Explore upcoming workshops and trainings here.
Take advantage of these learning opportunities to expand your skills, share experiences and connect with a community of educators committed to thoughtful AI integration. Whether you’re new to AI or looking to advance your knowledge, there’s a session for you.
Additional FAQs
Please review these additional generative AI FAQs designed to guide faculty, staff and students.
Join the Generative AI Teaching Conversations
The Office of the University Provost invites you to watch the Generative AI Teaching Conversation recordings linked below. In each 30-minute, podcast-style webinar, ASU expert panelists discussed an aspect of the use of generative AI in higher education with an audience Q&A
What generative AI tools are available?
What generative AI tools are available for various types of content creation, including text, visual and audio? Learn the capabilities of what's out there and which tools may require specific technical expertise to use effectively.
How can ASU foster a positive culture around using generative AI?
How can ASU foster a positive culture around incorporating generative AI into teaching, learning, research and creative activity? This will require an ongoing commitment to learning, collaboration and responsible use. How can we approach this technology with an open mind and a commitment to ethical use? How can we unlock its full potential and make new discoveries in a wide range of fields?
In what ways can generative AI impact academic integrity?
How do we cultivate a positive outlook on the potential learning advancements that generative AI can provide? By reframing the conversation from cheating to focusing on how AI is already used in education and how it can effectively improve learning, we can promote a more positive and productive dialogue about this technology in the education community.
In what ways can generative AI impact critical thinking, research and writing?
What are the effects of generative AI tools on critical thinking, research and writing? How can we approach these tools with caution and responsibility, and carefully consider their potential impact on research and writing outcomes?