The Faculty Toolbox provides practical guidance, examples, and training to help faculty integrate AI into your course curriculum to support academic excellence, ethical conduct and meaningful student learning.
Setting Clear Expectations
Clear expectations for generative AI help build trust, reduce stigma, and encourage students to discuss their use openly. By communicating course expectations and modeling transparent, responsible AI practices, faculty can foster meaningful dialogue about AI’s appropriate use, limitations, and ethical implications.
The policies we create around the use of AI should preserve meaningful learning.
- The use of AI tools must adhere to existing policies including Responsible Use of University Computing Resources Policy.
- Students are expected to abide by the Honor Code and Academic Integrity policy.
- Faculty are asked to read the Honor Code and Academic Integrity policy and communicate, in writing, clear expectations to students on using generative AI in their courses.
Resources for Creating Your Syllabus Policy
- AI Course Policy Studio - Need help drafting your AI Course Policy? The AI Course Policy Studio guides you through key decisions to create a clear, learning-centered generative AI policy aligned with their course goals, assignments, and expectations.
- Sample Syllabi and Policy Statements - Examples illustrating different approaches to AI use across courses and disciplines.
- Writing Program Faculty Resources: Guidance for addressing AI in writing instruction, drafting, revision, feedback, and authorship.
Promoting AI Literacy
Helping students understand the opportunities and challenges of using AI in their academic work is essential to fostering ethical and responsible use. The following resources provide supplemental support for integrating AI literacy across the curriculum.- Introduction to AI Literacy Learning Modules - Complete this 20 minute learning module on AI Literacy Basics.
- Assign the AI Literacy Learning module to your students in your Canvas course to ensure they understand the basics of ethical AI use in academic work.
- What is AI Literacy? Competencies and Design Considerations Research Article - What is AI Literacy? AI Literacy is a defined set of competencies users need in order to effectively interact with and critically evaluate AI.
Designing for Authentic Assessment
Authentic assessment asks students to apply their knowledge in meaningful contexts and produce evidence of their reasoning, decision-making, and learning process. These approaches can strengthen learning while making it more difficult to substitute AI-generated output for genuine student work.
- Authentic Learning in the Age of AI Presentation - 5 practical steps for incorporating generative AI literacy into your curriculum.
- AIAS Assessment Scale - Apractical framework for intentionally integration or restricting the use od generative AI in assessments.
- Example Prompts to Improve Assignments - Resource listing various prompts to enhance active learning, increase student engagement and improve assignment clarity.
Additional Resources
- Center for Educational Excellence Generative AI Resources - Visit the CEE’s website to explore all their resources for effective teaching with generative AI.
- AI Detection Tools - Information on approved USD’s AI detection tool and considerations when using this tool.
- AI and Intellectual Property Learning Module
- Connecting NotebookLM to your Canvas Course