Simulations reading group

Warning

• This is my first time running a reading group with a long list of participants.
• I have not published any statistics education research.
• I did present once in the CAUSEweb research reading group and once in the flipped learning reading group.

Who I am

• I enjoy reading statistics education journals and I have been wanting to read more papers related to what students learn from simulations.

• I am currently a full-time (insert rank here) professor in the School of Economics at De La Salle University - Manila.
  

• I am part of the (R)esearchers (o)n (S)tatistics (E)ducation Network.

  • There is a follow-up conference on July 2025 to the 2023 conference.

Five papers, five meetings

• Google doc contains the reading list.

• Motivation for reading group stems from something I stumbled upon on a casual search

  • Very few search hits on “Monte Carlo simulations” compared to “simulation-based inference”
  • Yet statistical methodology use simulations to assess performance

Rough content of five papers

• Paper 1: Simulations outside of statistics
• Paper 2: Thinking about how to design/conduct randomized experiments involving exposure to simulations
• Paper 3: Identifying sources of misconceptions
• Paper 4: Assessment of output from statistical computing
• Paper 5: Moving outside of simulation-based inference

Proposed structure

• Every participant is expected to read the paper (or at least scanned the paper once).
• Each participant contributes at least 1 question related to the paper of the week. If possible, these questions are to be placed into the shared Google doc a day or two in advance in order to organize the meeting.
• If structure is not working, modify by crowdsourcing.

End

Questions? Comments? Thoughts?