The evolution of generative artificial intelligence, or AI, raises questions about how we ask students to think, what skills they will need, and which assignments and course policies can best support your teaching.
On this page:
- What is Generative AI?
- Determining Where (or if) AI Fits Into Your Teaching
- Penn AI Guidance and Policies
- Resources for AI in Teaching and Learning
In addition to the resources provided here, CETLI hosts a number of events, including faculty discussions and seminars, to help instructors consider practices for AI use in their classroom. To see CETLI's upcoming workshops, visit the CETLI events page.
CETLI staff are also available for individual consultations for instructors and can host a workshop for your program or department to facilitate conversations about this technology. Contact CETLI to learn more.Â
What is Generative AI?
Generative AI creates text, images, computer code, and more in response to user prompts. These tools can adapt their responses based on user feedback in a conversational style. AI can enhance teaching and learning through its capacity to analyze and quickly respond to large amounts of data. However, AI has limitations, such as producing inaccurate or biased responses. Each user’s human judgment plays a large role in their ability to use generative AI effectively.
Determining Where (or if) AI Fits Into Your Teaching
You may be eager to incorporate AI into your teaching as a way to help students gain knowledge, practice skills, or develop proficiency related to working with AI. Alternatively, you may find that it gets in the way of what you want your students to learn. Whatever you choose, be sure to design assignments and communicate your policies to students according to the ways you expect students to use or not use AI. This decision is dependent on your course goals and is worth reexamining regularly as a part of your teaching practice. To guide your decisions, consider:
Penn AI Guidance and Policies
Generative AI raises concerns related to privacy, intellectual property, academic integrity, and equity. Continuous improvements to generative AI’s capabilities and changes in the way these tools are regulated will impact these policies and uses of the tools.
Penn’s Office of Privacy notes that instructors are responsible for protecting students’ privacy using AI. It also mandates the following restrictions for the protection of student data:
Instructors and staff using Wharton's ChatGPT Edu workspace have different data protection guidelines. Refer to Wharton's ChatGPT Enterprise page for more information.
Individual instructors determine their own policies related to generative AI and academic integrity. If you have questions or concerns about AI and academic integrity policy, visit our Course Policies & Communication page for more information. For questions about a potential academic integrity violation, contact the Center for Community Standards & Accountability (CSA).
Not all generative AI models are equally strong, and some of the most powerful tools require paid subscriptions. If you ask students to use AI in your course, consider ways to ensure that all students have access to the same tools.
Information Systems and Computing (ISC) has additional guidance on AI use for members of the Penn community:
The Penn Libraries have collected resources on Copyright and Artificial Intelligence to inform your decision-making around the use of AI with copyrighted materials and the citation of AI-generated content.
