Teaching with Generative AI
Recommended syllabus statement examples and resources:
Uses for AI in Teaching
- Create assignment instructions, grading criteria, or tools like rubrics
- Generate FAQs with explanations for confusing concepts
- Create case studies, scenarios, or examples to respond to or critique in class
- Prepare lesson plans or outlines
- Suggest active-learning activities
- Generate or revise quiz questions
- Create study guides or study games to help students prepare for exams
- Compose comment bank items to provide students with assignment feedback
- Respond to student emails about basic questions
Uses for AI in Student Learning
Include a policy on your syllabus that clearly defines when, how, and how much students can use AI in your courses. If you decide to integrate AI into your teaching, definitely teach students about the capabilities, limitations, and best practices for using generative AI tools before they use those tools in class.
- Ask students to complete a written assignment, then use AI to generate a version of the same assignment. Instruct students to compare the two and reflect on their work.
- Instruct students to assign an AI tool a specific persona and roleplay a scenario
- Have students use AI to make a creative work that helps clarify or illustrate a course concept.
- Ask students to fact check and critique AI output.
- Encourage students to treat AI like a study buddy. Students can quiz themselves on course concepts using AI. Language-learning students can practice their language skills by chatting with AI.
- Teach students prompt engineering and ask them to complete authentic tasks that they will perform in their future professions using AI.
- Give students the option of using AI tools to revise their writing or code.
- Encourage students to use AI to brainstorm and refine topic and research question ideas.
For additional ideas, see “100 Applications of ChatGPT for University Teaching” (ChatGPT, 2023).
Consider SU Institutional Repository for class assignments!
The Southern University Institutional repository is the ideal place to assignments will continue to grow, evolve, and adapt as instructors innovate and share their discoveries with each other. We would like to see and share (with your permission) the fruits of your thinking. If you would like to submit an assignment to the repository, please email us the assignment, along with the course title and learning objectives.
![](https://libapps.s3.amazonaws.com/accounts/1319/images/5_Benefits_of_Open_Pedagogy.png)
For additional information, see “Chatbots in Education and Research: A Critical Examination of the Ethical Implication and Solutions” (Kooli, 2023).