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 datalab@ucdavis.edu.
| Date | Time | Type | Location | Description | Host |
|---|---|---|---|---|---|
| March 13, 2023 | 2:10-4pm | Talks/Discussion | Shields 360 (Zoom link upon request) | Interactive teaching demos | Pamela 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 plreynolds@ucdavis.edu for the link.