Schedule

Pre-workshop Homework

  • Watch:
    “y code when ai?”
    Hadley Wickham, Chief Scientist, Posit
    (~ 45 minutes): In this webinar, Hadley Wickham illustrates how he uses AI to do most of his actual coding work these days.
  • Read:
    • In the popular press:
      • Stanford HCAI (2023): Review of an AI Summit at Stanford.
      • Walsh (2025): An investigate piece from New York Magazine detailing the use of generative AI tools by college students.
      • Shirky (2025): An editorial by the vice provost at NYU advocating a return to oral and in-person assessment methods.
      • The Oberlin Luddite Club et al. (2025): An editorial written by students at Oberlin College asking their president to “terminate the College’s contract with Google Gemini and OpenAI”.
    • Scholarly papers:
      • ✴️ DeLuca et al. (2025): An article showing that while generative AI is able to complete statistics assignments to a reasonable degree, there are detectable differences in the use of language across different LLMs and groups of people.
        Note: Sunday’s plenary speaker Alex Reinhart is a co-author on this paper!
      • Daniotti et al. (2026): An article in Science showing that while generative AI tools help more experienced programmers improve their productivity, the same gains are not observed among entry-level developers.
      • Bien and Mukherjee (2025): A reflection on having students code with GitHub Copilot in a data science MBA course.
      • Fernandes et al. (2025): A study showing that while performance on the LSAT improved with AI use, metacognitive accuracy declined.

There are many, many more things to read on our reading list!

Workshop schedule

1 . Sun, Jul 19 🚋

ImportantTheme: What’s going on?
  • Lead: Manolis

  • [4:00-4:45]: Arrival and registration (PAC, Frank Center for Public Affairs Forum)
    • Location: Frank PAC forum #101
  • [5:00-6:15]: Plenary Session
    • Speaker: Alex Reinhart (Carnegie Mellon University): “The role of AI in statistics and data science education”
    • Location: Frank PAC forum #101
  • [7:00-8:30]: Dinner
    • Meal: Dinner at the Armory
    • Location: Middletown Inn
NoteHomework
  • Skim the GAISE College report:
    • Carver et al. (2016)
    • American Statistical Association (2025) link

2 . Mon, Jul 20 📋

ImportantTheme: What we teach
  • Lead: Nick
  • [7:30-8:30]:
    • Meal: Breakfast
    • Location: Hotel
  • [9:00-9:15]: Welcome from Nicole Stanton (Provost and Senior Vice-President for Academic Affairs)
    • Location: Allbritton #103
  • [9:15-10:15]: Session 1
    • Topic: Overview of the GAISE principles and recent data and computing initiatives
    • Speaker: Nick Horton
    • Location: Allbritton #103
  • [10:45-12:00]: Session 2
    • Topic: AI and data analysis (lightning talks by Sorelle Friedler, Marc Schulz, and Stephen Freund)
    • Location: Allbritton #103
  • [12:10-1:30]:
    • Meal: Lunch
    • Location: Allbritton #311
  • [1:45-3:00]: Session 3
    • Topic: AI and the GAISE principles
    • Discussion: in 3 groups for 45 minutes, then regather in Allbritton #103
    • Location: Allbritton #004, #103, and #304, then Albritton #103
  • [3:15-6:15]: Free time

NoteHomework

3 . Tue, Jul 21 🧑‍🎓

ImportantTheme: Pedagogy in practice
  • Lead: Sarah
  • [7:30-8:30]:
    • Meal: Breakfast
    • Location: Hotel
  • [9:00-10:15]: Session 5
    • Topic: Student perspectives on AI
      • 9:15-9:45: What are student attitudes towards AI? Wesleyan students
        Speaker: Rachel Barlow
      • 9:45-10:15: How are students using AI? Coding and screen capture videos
        Speaker: Casey Pattanayak
    • Location: Allbritton #103
  • [10:45-12:00]: Session 6
    • Topic: Impact of AI on student learning
      • 10:50-11:10 session intro with qualitative findings from Data Analytics sophomores through seniors
        Speaker: Zhe Wang
      • 11:10-11:30 LLM vs student writing and overview of student writing
        Speaker: Alex Reinhart
      • 11:30-11:50: Discussion with Q&A for both speakers and the general group
      • 11:50-12:00: Plan for post-lunch conversation and activities
    • Location: Allbritton #103
  • [12:10-1:30]:
    • Meal: Lunch
    • Location: Allbritton #311
  • [1:45-3:15]: Session 7
    • Topic: Soapbox
    • Topic: Develop activities that use AI to accomplish learning goals
    • Discussion: in 3 groups
    • Location: Allbritton #004, #103, and #304
  • [3:45-5:00]: Session 4 (rescheduled)
    • Topic: TBD
    • Discussion: plenary
    • Location: Allbritton #311
  • [6:45-8:00] Dinner
NoteHomework

4 . Wed, Jul 22 🧳

ImportantTheme: What comes next?
  • Lead: Ben
  • [7:30-8:30]:
    • Meal: Breakfast
    • Location: Hotel
  • [9:00-10:15]: Session 9
    • : Collaborative writing
    • Location: Allbritton #311 (and #004, #113, and #304 as needed)
  • [10:45-12:00]: Session 10
    • : Collaborative writing
    • Location: Allbritton #311 (and #004, #113, and #304 as needed)
  • [12:00-1:00]:
    • Meal: Boxed lunch
  • [1:00]: Departures

Last updated July 20, 2026

References

American Statistical Association. 2025. Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report 2025. https://asacollegegaise.org.
Bien, Jacob, and Gourab Mukherjee. 2025. “Generative AI for Data Science 101: Coding Without Learning to Code.” Journal of Statistics and Data Science Education 33 (2): 129–42. https://doi.org/https://doi.org/10.1080/26939169.2024.2432397.
Carver, Robert, Michelle Everson, John Gabrosek, et al. 2016. Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report 2016. https://www.amstat.org/docs/default-source/amstat-documents/gaisecollege_full.pdf.
Daniotti, Simone, Johannes Wachs, Xiangnan Feng, and Frank Neffke. 2026. “Who Is Using AI to Code? Global Diffusion and Impact of Generative AI.” Science, eadz9311. https://doi.org/10.1126/science.adz9311.
DeLuca, Laura S, Alex Reinhart, Gordon Weinberg, Michael Laudenbach, Sydney Miller, and David West Brown. 2025. “Developing Students’ Statistical Expertise Through Writing in the Age of AI.” Journal of Statistics and Data Science Education 33 (3): 266–78. https://doi.org/10.1080/26939169.2025.2497547.
Fernandes, Daniela, Steeven Villa, Salla Nicholls, et al. 2025. “AI Makes You Smarter but None the Wiser: The Disconnect Between Performance and Metacognition.” Computers in Human Behavior, 108779. https://doi.org/10.1016/j.chb.2025.108779.
Shirky, Clay. 2025. Students Hate Them. Universities Need Them. The Only Real Solution to the A.I. Cheating Crisis. The New York Times. https://www.nytimes.com/2025/08/26/opinion/culture/ai-chatgpt-college-cheating-medieval.html.
Stanford HCAI. 2023. AI Will Transform Teaching and Learning. Let’s Get It Right. https://hai.stanford.edu/news/ai-will-transform-teaching-and-learning-lets-get-it-right.
The Oberlin Luddite Club, Charlie McLaughlin, Logan Lane, et al. 2025. Luddite Club Implores Oberlin to Opt Out of AI. The Oberlin Review. https://oberlinreview.org/35718/opinions/luddite-club-implores-oberlin-to-opt-out-of-ai/.
Walsh, James D. 2025. Everyone Is Cheating Their Way Through College: ChatGPT Has Unraveled the Entire Academic Project. New York Magazine. https://nymag.com/intelligencer/article/openai-chatgpt-ai-cheating-education-college-students-school.html.