PhD student in Psychology @ UCSD ☀️ Curious about how children learn (from / about) language and how it mediates learning of abstract concepts! ⛸️🎮🐱
Khuyen Le
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Takeaway: the digital Give-N task is a useful and practical alternative for measuring knower levels!
Though we recommend additional validation when the task is modified and used to compare against results from a physical version, or in communities with low access to screen-based tech. 4/4
We also replicated some previous findings re: knower level consistency in Give-N:
- Low agreement for 3-, 4-, 5-knowers
- No effect of task order
One caveat is that children performed better (on a trial basis) on the physical version, with minimal impact to knower level classification. 3/
Kids compute scalar implicatures at a younger age than previously found, when they can form their own interpretation first before we present them with irrelevant alternatives!
Another case of task pragmatics masking kids’ early competence 🤔
If you study number and want a more standardized and convenient version for Give-N, consider using a digital task!
New preprint 🚨 (with Kenyee Liu, Daniel Hyde and @drbarner.bsky.social): a digital Give-N task shows high knower level agreement with a physical version. 1/
osf.io/preprints/ps...
If you're curious, an interactive example of the digital Give-N task is here! khuyen-le.github.io/give-n-onlin... (no data is collected, though that might be my summer pet project)
