#Education
Jared KnowlesSometimes education research can be so frustrating. Student school-to-school and district-to-district mobility is critical to understand achievement and interventions. There is no public measure of this readily available at any level of aggregation. Right?
CRDC School Arrest Rates — Bayesian Estimates
Model-based estimates of school-based arrest rates for U.S. school districts and states, by race and sex, derived from the Civil Rights Data Collection.
nature.com
RETRACTED ARTICLE: The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis - Humanities and Social Sciences Communications
https://www.nature.com/articles/s41599-025-04787-y#Sec6 →
It’s important to remember that the most popular and accessed article about ChatGPT and student learning was retracted. The thing is, retraction is just a label, and people can choose to honor or not honor that label. So keep your eyes out for people citing the study.
I’ve been doing education data work for a long time and somehow this never got on my radar: “Since 1979, the Western Interstate Commission for Higher Education (WICHE) has published Knocking at the College Door: Projections of High School Graduates. This analysis projects the number of high school graduates for all 50 states and the District of Columbia…”
I’m grateful there are so many people doing high-quality open source data like this!