Teaching with AI

Teaching with Generative AI (GenAI)

The use of Generative AI (GenAI) is becoming commonplace in our society and the workforce. The role of artificial intelligence is not replacing our role as educators, but it is transforming what it means to learn and think. Students will be using AI in their professional lives, and it is our job to help them use it critically, creatively, and ethically. Teaching and learning with AI is not about offloading thinking—it is about expanding it. By engaging with AI in thoughtful and guided ways, we can help students move beyond being passive consumers of information to actively shaping it; learning to curate reliable sources, critique bias or error, and create new insights that are informed by AI but driven by human judgement. 

When Can AI Use be Beneficial? 

Students appreciate the relevancy of artificial intelligence and are becoming regular users of GenAI tools. According to a 2024 study conducted by Tyton Partners, 59% of students report using Generative AI tools for schoolwork while 36% of instructors have never used these tools. AI Literacy is an essential skill and students in every discipline should know how to evaluate, refine, and question AI contributions. Guiding students in their use of GenAI helps to develop critical thinking, promotes ethical use of AI, and helps to prepare students for future workforce. The use of AI can deepen student learning when it is applied purposefully and thoughtfully to enhance understanding rather than replace thinking. 

Mollick & Mollick (2023) suggest seven different approaches AI can take to support student learning:

  • Mentor - Providing Feedback
  • Tutor - Providing Direct Instruction
  • Coach - Supporting Reflection and Metacognition
  • Teammate - Providing Alternate Viewpoints
  • Student - Receiving Clarifications and Teaching Others
  • Simulator - Offering Practice and Application of Knowledge
  • Tool - Accomplishing Lower-Lever Tasks

The use of GenAU can also save faculty time with many of the preparatory tasks associated with teaching and research. These tools can be useful for writing measurable student learning outcomes (SLOs), creating course materials, drafting rubrics, suggesting discussion questions, designing learning activities that align with SLOs, or providing student feedback. 

AI Syllabus Guidance


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Creating Syllabus Policies Around AI Usage

Find information on why and how your course syllabus should contain AI usage policies.


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Samples Course Syllabus Statements by Usage Level

Find samples of course syllabus statements regarding AI usage, organized by AI allowance level. 

 

Ideas for Implementing AI


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(Re)Designing Assignments for AI 

When thinking about how to (re)design assignments for AI, consider these guiding questions adapted from Bruff (2023).


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3 Strategies for AI Assignment Design

When beginning to (re)design your assignments for AI, consider these strategies and tips to assist you.

Who's Doing It?

Faculty at MSU Implementing or Studying AI
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FCTL Can Help

FCTL staff are available to discuss ideas or concerns related to generative AI and your teaching. Contact the FCTL to schedule a consultation. 

Find more resources and guides on teaching with AI in the FCTL Academic Community located in Brightspace. 

Sources

Bowen, J. A. & Watson, C. E. (2024). Teaching with AI: A practical guide to a new era of human learning.

Bruff, D. (2023). Assignment makeovers in the AI age.

Inside Higher Ed. (2023, March 21). GPT-4 is here. But most faculty lack AI policies.

Mollick, E. (2023, June 12). Assigning AI: Seven ways of using AI in class.

Tyton Partners (2024, June 27). Racing forward: Bridging the gap between Generative AI proficiency and educational practice.