Claire Kelling
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  • Current CV

Teaching

I teach a mix of statistics and data science courses at Carleton College. In all my courses, I place a strong emphasis on ethical reasoning and the application of statistical thinking to real-world questions. I am particularly interested in community-engaged teaching in statistics and data science.

I am interested in thinking through ways to encourage students to intentionally consider their own AI use in their courses. Specifically, I want to encourage students to think through their views on how AI can effect individuals/society and their own learning positively and negatively. I want to help facilitate the process of students connecting these views to how/if they use AI tools. Here’s a draft AI Use Contract (PDF). I’d love to hear if you try this out in your courses or if you have any suggestions!

Courses

  • STAT 120: Introduction to Statistics — F22, W24, W25
  • STAT 220: Introduction to Data Science — F23, F24
  • STAT 230: Applied Regression Analysis — W23, F23, F24, W25
  • STAT 310: Spatial Statistics — S23, S24
  • Introduction to Sports Analytics — Summer Liberal Arts Institute, 2026
 
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