#rcts — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #rcts, aggregated by home.social.
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Substantial work has been undertaken on understanding problems of effect size calculation, comparison & aggregation for #RCTs in these settings (https://www.sciencedirect.com/science/article/pii/S0883035515304808) and where consensus work around the #EEF has led to communication and standardisation. 👏
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Substantial work has been undertaken on understanding problems of effect size calculation, comparison & aggregation for #RCTs in these settings (https://www.sciencedirect.com/science/article/pii/S0883035515304808) and where consensus work around the #EEF has led to communication and standardisation. 👏
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We submitted our #EoI for this project in 01-2016.
Today the report was published🎉Education Endowment Foundation #EEF
EAL in the mainstream classroom (Challenge Partners)
https://educationendowmentfoundation.org.uk/projects-and-evaluation/projects/eal-in-the-mainstream-classroomGreat leadership by Louise Tracey at #UniversityLeeds!
Many thanks to all project partners & the #DundeeUni #OpenResearch team for their #SafePod support! ❤️As this may be my last project focusing mainly on attainment outcomes in schools, I share one (lengthy) thought🧵
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Anyway, I keep meaning to write up a blog post on “falsehoods I have believed about measuring model performance” touching on #AppliedML issues related to #modelEvaluation, #metrics, #monitoring, #observability, and #experiments (#RCTs). The cool kids would call this #AIAlignment in their VC pitch decks, but even us #NormCore ML engineers have to wrestle with how to measure and optimize the real-world impact of our models.
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Anyway, I keep meaning to write up a blog post on “falsehoods I have believed about measuring model performance” touching on #AppliedML issues related to #modelEvaluation, #metrics, #monitoring, #observability, and #experiments (#RCTs). The cool kids would call this #AIAlignment in their VC pitch decks, but even us #NormCore ML engineers have to wrestle with how to measure and optimize the real-world impact of our models.