»Using AI to Interpret Course Evaluations

Once you receive your course evaluations...

Step 1: Analyze the Student Feedback

Pull up student comments from some recent end-of-course evaluations. 

1. Identify any comments that are not useful or relate to things that can’t be changed (e.g., class meeting time).
2. Identify and celebrate what is going well for students (course strengths).
3. Identify areas for improvement. Consider modifications to improve the course, materials, and/or instruction.
4. Do any of the comments reference a “non-negotiable” in your course or approach?

Step 2: Using AI to Analyze Feedback

• Copy and paste the course evaluation comments into ChatGPT or Copilot (https://copilot.microsoft.com – sign in with your Chapman credentials) 
• Writing the Prompt:  
  • Assign AI a Role:  “You are a university professor wanting to improve the student experience and success in your course. You have just received course evaluations with student feedback.” 
  • Give AI a Task: “Analyze these comments to identify three things that students like or appreciate about the course/instructor and three areas for improvement.” 
  • Provide More Specificity: “Provide a summary report of the strengths and areas for improvement in the course and/or instruction. For the areas needing improvement, provide some strategies to consider.”