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

Nov. 162:10-4pmTalks/DiscussionShields 360Interactive teaching demos.Pamela Reynolds

At the Fall 2022 meetup on 11/16/2022 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 to non-majors.

Anyone teaching courses featuring hands-on computational skills to learners from traditionally non-data science majors is encouraged to participate. Can’t make it in person? We’ll be testing out using a meeting Owl with Zoom. Reach out to for the link.