Without needing to recruit a data science team
Written by:
CheeTung (CT) Leong, Co-founder and CEO (Americas)
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The need to use data effectively in schools is not new.
Huge strides have been made since the COVID-19 pandemic, with many school districts already embracing technology and applying it effectively in the classroom.
However, even in 2024 teacher burnout and turnover remain one of the top three concerns for district leaders.
An Institute of Education Sciences report shows up to 9 out of 10 teachers are burnt out, while many states are seeing resignations trend upwards.
44% of teachers leave the profession within five years after getting certified, with this going up to 60-70% in some states.
This is hurting our kids.
New data from the NAEP Long-Term Trend Assessment, show that average test scores for U.S. 13-year-olds have dipped in reading and dropped sharply in math since 2020.
The average scores, fell 4 points in reading and 9 points in math, compared with tests given in the 2019-2020 school year, and are the lowest in decades.
Pandemic closures are likely to have driven some of these results, but there is strong data showing that the teacher exodus is also harming student achievement.
A longitudinal study by Ronfeldt, Loeb, and Wyckoff (2012) for the National Center for Analysis of Longitudinal Data in Education Research shows that teacher attrition reduces student achievement.
Matching the empirical data in recent years closely, high turnover resulted in lower student scores in both math and ELA. Moreover, these effects were even stronger for low-performing students and students of color.
See their results in the table below:
