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In response to the COVID-19 pandemic, education systems had to redeploy inputs typically used in schools to remote education. This significantly reduced average student learning, with disadvantaged students experiencing a disproportionately large decline. Not closing these learning losses will have long-lasting effects on productivity and economic growth and dampen social mobility. In the five Eastern European countries analyzed in this paper, not acquiring sufficient learning is not a challenge that began with the pandemic. Perhaps the pandemic and the attention it is bringing to students' learning loss will create the political conditions to implement long-awaited education reforms to reduce the learning gaps and create better conditions for disadvantaged students, the core element of resilient education systems. This paper shows that using data to guide policy decisions, standardized tests as a diagnostic tool, and remediation policies should become permanent features of education systems. The pandemic pushed forward the use of technology in education. Using technology through online tutoring or Computer Assisted Learning can, when designed appropriately, improve students' academic performance, socio-emotional skills, and psychological well-being.
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Many Ecuadorian students entering higher education have cognitive skills gaps in mathematics that undermine their ability to assimilate academic contents. This paper presents the results of a randomized controlled trial assessing the effects on academic outcomes of a Digital Personalized Learning Software for mathematics remediation (the ALEKS software) offered to first-year students entering technical and technological higher education programs in Ecuador amid the COVID-19 pandemic. The possibility to use the software led to a large and marginally significant decline in the probability of repeating a course, as well as a very large positive impact on standardized test scores in math. The analysis finds no impact on the probability of enrolling in the third semester. When disaggregating the impacts, the findings show that the effects on repetition are particularly large for male students, possibly because of higher male enrollment in science, technology, engineering, and mathematics disciplines. When assessing the potential mechanisms, the findings show evidence that the software led to a net increase in hours dedicated to studying mathematics. The results suggest that Digital Personalized Learning Software can be a cost-effective solution for math remediation with potential for large-scale application.
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