My teaching is strongly influenced by a scaffolded-Socratic model, as well as my work in representation and learning. Teaching is the revision of structured knowledge, not additive accumulation. I also emphasize laboratory-based mentoring in education.
The "Reader's Digest" (one-page) version of my teaching statement can be found here.
Like finding a safe mountain pass, the learner's shortest path from A to B may not be a straight line. A teacher's detailed map of surrounding pitfalls is necessary to plotting the best route across difficult terrain.
Upcoming Fall 2021 Courses
- Introduction to Cognitive Science (COGS 001)
- Seminar in Cognitive Neuroscience: Language (PSYC 131)
Other (Previous) Courses
- Seminar in Cognitive Neuroscience: Language (PSYC 131), Swarthmore College
- Research Design & Analysis (PSYC 025), Swarthmore College
- Independent Research Projects (PSYC 094), Swarthmore College
- Cognitive Neuroscience (PSYC 031), Swarthmore College
- Introductory Statistics (PSYCH 200), Penn State World Campus
- Language and the Brain (BCS 265), University of Rochester
- Research Methods Lab (PSYCH 301W), Penn State University
- Psychology of Language (PSYCH / LING 457), Penn State University
Learning About Statistics
- Learning Statistics with R by Danielle Navarro
- Statistical Thinking for the 21st Century by Russel Poldrack
Learning To Script in R and Python
- Data wrangling, exploration, and analysis with R by Jenny Bryan
- R for Data Science by Garrett Grolemund & Hadley Wickham
- Dive Into Python by Mark Pilgrim (The website seems to be taken down, but the book is good)