The COVID-19-pandemic forced many countries to close schools abruptly in the spring of 2020. These school closures and the subsequent period of distance learning has led to concerns about increasing inequality in education, as children from lower-educated and poorer families have less access to (additional) resources at home. This study analyzes differences in declines in learning gains in primary education in the Netherlands for reading, spelling and math, using rich data on standardized test scores and register data on student and parental background for almost 300,000 unique students. The results show large inequalities in the learning loss based on parental education and parental income, on top of already existing inequalities. The results call for a national focus on interventions specifically targeting vulnerable students.
In many countries, the quality of (large-scale quantitative) educational research is threatened by data challenges. In this article, we present an innovative data research project from the Netherlands in which many of the challenges that come forward in previous literature are addressed. The Netherlands Cohort Study on Education [in Dutch abbreviated as NCO (Nationaal Cohortonderzoek Onderwijs)] uses longitudinal register data on track placement of cohorts of pupils in primary and secondary education from Statistics Netherlands, which will be combined with school admin data on pupils’ performance and data from the major (inter)national surveys. NCO maps pupils’ pathways and performances through primary and secondary education and their trajectory into tertiary education. NCO so far covers more than 10 complete cohorts and is complemented with the newest data every year. These registers are made available at Statistics Netherlands. A major contribution of NCO is that data from school administrative systems and additional research projects are linked with administrative register data, thereby creating a unique data set that enriches not only research, but also policy and practice. This data brief elaborates on the possibilities of this database by exploring and following one of the cohorts over time.
After more than a year of COVID-19 crisis and the school closures that followed all around the world, the concerns about lower learning growth and exacerbated inequalities are larger than ever. In this paper, we use unique data to analyse how one full year of COVID-19 crisis in Dutch primary education has affected learning growth and pre-existing inequalities. We draw on a dataset that includes around 330,000 Dutch primary school students from about 1,600 schools, with standardized test scores for reading, spelling and mathematics, as well as rich (family) background information of the students. The results show a lower learning growth over a full year for all three domains, varying from 0.06 standard deviations for spelling to 0.12 for maths and 0.17 standard deviations for reading. Furthermore, we find that the lower learning growth is (much) larger for vulnerable students with a low socioeconomic background. This implies that pre-existing inequalities between students from different backgrounds have increased. These results are quite alarming and suggest that distance learning could not compensate for classroom teaching, although it prevented some damage that would have occurred if students had not enjoyed any formal education at all.
Using a large dataset of around 500,000 students from about 1,900 schools, this paper shows the effect of two school closures and 1.5 years of the COVID-19 pandemic on standardized learning growth for mathematics, reading, and spelling in Dutch primary education. We find that the school closures have a negative effect on standardized learning growth, amounting to an annual average of 5.5 weeks of learning loss. When analyzing differential effects by socioeconomic status, parental education, household income, household structure, household size, and migration status, we find that the negative effect is larger for the more vulnerable students.
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