Responding to reviewer who has a specific picture in their head of what “good” edtech research “should” look like. Thus, they’re confused by things in my paper that I’m sure aren’t problems—but don’t fit that picture.

Unexpected topics in research meetings: The difficulty of choosing English translations for French swearing in your data.

Trying to do revisions on an article that isn’t my best work and that I don’t really love is haaaaaaard. I’m committed enough to the core idea to see things through, but I’m also tempted to tell the reviewers that they win and I’m out.

My first rule as a low-budget Twitter researcher is to collect interesting data first, ask (research) questions later. I have a lot of data I’ve never used, but I’d rather deal with that than a missed opportunity.

Just had a paper rejected from a special issue, but the journal has been such a pain to work with over the last 8(!) months that I’m frankly just glad it’s over.