Education Papers and Courses
- Kristin’s Annotated Bibliography from SME210, the MACSME first year paper review seminar
- List of UCB courses related to CS education
Statistics, user studies, programming
- Designing and running human factors experiments: Bjoern recommends Jake Wobbrock’s (UW) and Scott Klemmer’s (UCSD) MOOC on this topic, as well as the book Measuring the User Experience (free electronic resource on OskiCat; print version available)
- Statistical hypothesis testing: Wikipedia has a pretty good overview of analyzing interventions to see if a tool or methodology does or does not provide some particular benefit to the student. Also see Koji Yatani’s course pages on “Stats for HCI”, including a cheat sheet for “which statistical test should I use for…”
- If you need to bone up on your Stats background, the free MOOC “Intro to Statistics: Inference” is based on Berkeley’s Stat 2 course taught by Profs. Ani Adhikari and Philip Stark. (It is the third part of a 3-part MOOC series; the first two parts cover basics of statistics and probability.)
- Programming: Armando’s 2-MOOC series Agile Development Using Ruby and Rails focuses on building server-side apps. Many of the lab’s research apps are built using this framework.
BiD Lab (physical space)
Moving into BiD How To (this for reference, not really a list of things to do when you arrive)
Kristin’s master cheatsheet of all the things she keeps having to remember but also remembered to write down.
Potentially useful sections: