The tool essentially extracts types of statements from discussion transcripts, allowing researchers to understand trends without looking at specific posts (hence, preserving privacy). A set of nine codes was developed (covering things like gratitude, introductions, resource sharings, etc). "Each code was associated with multiple regular expressions (regex) patterns, then refined iteratively by human coders to account for variations and contextual usage across the data." This is how I defined 'topics' back when I assigned topics to OLDaily posts. I gave it up because refining the regex was a lot of work (I had a lot of topics) and rescanning the database took too long. Via Learning Engineering.
Today: Total: [Direct link] [Share]
