Categories
Canvas Spotlight Generative AI

Using Generative AI as a Faculty Tool

Last updated on September 10, 2024

Best Practices

How Can AI Be Used?

  • Learning Material Drafts and Outlines. Writing content from scratch is often more challenging than starting with a rough draft, even if that rough draft needs a lot of work. Generative AI can give you a starting point, perhaps an outline or rough first draft, to write your course materials. Keep in mind that generative AI will never replace your knowledge and expertise, and it pulls from a variety of sources that may or may not be reliable or accurate. Any content it generates will need your input and editing for writing style, expertise, and accuracy.

Example: Generate lecture notes for a specific course topic.

  • Technique: Use AI to draft initial lecture notes based on the module objectives and overview. In your prompt, include any key points you want to cover, and let AI create your outline or full notes. Then you’ll just review and customize the generated content to align with your teaching style and objectives.
  • Sample Prompt: Based on this [module overview] and the following [module objectives], please create an outline for a 15-minute lecture. Include examples and explanations for key points.
  • Creating Ideas and Brainstorming. Generative AI is great at generating ideas and possibilities, whether that means giving you a list of options for naming an article, creating interesting activities and assessments, or drafting an outline or syllabus. In addition to the example provided below, try asking Copilot to brainstorm some ideas on any subject. You might be surprised by some creative results!

Example: Generate ideas for creative activities to use in a course

  • Technique: Use AI to help us come up with creative activities for students to engage in to improve and retain understanding of the course topics.
  • Sample Prompt:Provide three creative ideas for learning activities that students might do in an online university course on [topic or subject matter]. The summaries of the activities should meet the following module-level objective: [module objective]. These are not graded assignments but rather creative ways for students to put what they’ve learned into practice.”
  • Checking Assignments for Effectiveness and Alignment with Objectives. Alignment among your instructional materials, assessments, and module-level objectives ensures that you are providing the students exactly what you promised them in the overall course objectives. Generative AI can help you write assignments or discussions based on the assignment objectives you provide, and it can also assess assignments/discussions that you’ve created to see if they align with module or course objectives or meet your own goals for student takeaways.

Example: Check assessment for alignment with objectives

  • Technique: Provide AI with course or module objectives and the assignment or discussion prompt then let the AI determine if the assignment aligns with the objectives and suggest ways to improve alignment.
  • Sample Prompt: “Does the following discussion prompt align with the module-level objectives listed below it? Include ideas for better alignment. [insert discussion prompt and objectives”

Additional Ideas for Using AI. At its core, generative AI is a writing tool. While opinions vary on the quality of it’s writing style and voice, it is still very effective at what it does. Some other ideas for AI uses may include creating a transcript for a podcast to improve accessibility, translating a document or course content into another language, or sending it images and asking it to write alt-text for them.

When should I not use this?

  • Grading or evaluating student submissions: While generative AI can provide feedback to student assignments, especially if a rubric is provided, most come with a warning that their evaluations should not replace an expert/teacher’s efforts. Apart from the ethical considerations, grading and assessment are largely ineffective with AI. Generative AI lacks the ability to fully understand context, creativity, and critical thinking, which are essential for fair and accurate assessments. Also, AI may not effectively capture the subjective or specialized elements of student responses that an instructor can. AI feedback tends to focus on how a submission is written and whether vocab associated with a topic is used; the feedback may miss entirely the point of the assignment. Overall, the time investment necessary to review and modify feedback is likely higher than just grading the assignment yourself.
  • Tasks requiring specialized knowledge or nuanced understanding: Generative AI does not always capture the subtleties of processing theoretical concepts, identifying emotional tone, or evaluating ethical implications. It does not have your expertise and insight.
  • Identifying student work versus AI-generated work: Generative AI may not accurately evaluate the verification of student assignments versus AI-generated assignments. Consider assigning regular, smaller assignments such as reflections, discussion posts, or journal entries. These can help you become familiar with each student’s writing style and thought process. Have students draft submissions and check-ins to assess their progress on activities and assessments. 
  • Sensitive or highly subjective material: For sensitive or highly subjective material, it may be better to rely on your judgment as generative AI cannot fully grasp the ethical and emotional nuances required to handle these topics appropriately. It may miss the context and subtleties needed for fair and compassionate consideration, which are essential in such discussions. Additionally, AI has inherent biases based on the source material it references to build content.

Let’s Walk Through It Together

The Conclusion

As described above, AI can be a valuable tool for faculty members seeking to streamline tasks and manage time more effectively. This article is designed to serve as a basic guide to how AI can be used but remember that generative AI tools are still constantly adapting. New abilities and ways to use generative AI will continue to evolve.

Additional Resources