Computational Pedagogy

The Computational Pedagogy Research and Learning Cluster (RLC) coordinated by DataLab focuses on sharing and advancing pedagogy for hands-on instruction in practical, applied computational thinking.

To sign up for this new RLC’s listserv and Slack channel, email

March 13, 20232:10-4pmTalks/DiscussionShields 360 (Zoom link upon request)Interactive teaching demosPamela Reynolds

Our Winter 2023 meeting will be on March 13. We will discuss and help iterate on interactive teaching demos provided by Professors:

  • Titus Brown (VetMed): “Introduction to snakemake for automating sequence analysis”
  • Emily Merchant (Science & Technology Studies): “Using computation to visualize social change”
  • Seth Frey (Communications): “Teaching computational methods to non-computational students

Together, we will:

  • Share and advance pedagogy for hands-on instruction in applied computational thinking.
  • Reflect on how teaching data science does (or doesn’t) fit within existing scholarship on teaching and learning.
  • Connect with other instructors from across campus teaching computational skills.

Anyone teaching courses or other training activities featuring hands-on computational skills is encouraged to participate. Please note that this RLC will focus on sharing strategies for computational skills training geared towards learners from traditionally non-data science majors.

Can’t make it in person? We’ll be using a meeting Owl with Zoom. Reach out to for the link.