Measuring student mindsets at scale in resource-constrained settings: A toolkit with an application to Brazil during the pandemic.

Mounting evidence that growth mindset-the belief that intelligence is not fixed and can be developed-improves educational outcomes has spurred additional interest in how to measure and promote it in other contexts. Most of this research, however, focuses on high-income countries, where the most common protocols for measuring and intervening on student mindsets rely on connected devices-often unavailable in low- and middle-income countries' schools. This paper develops a toolkit to measure student mindsets in resource-constrained settings, specifically in the context of Brazilian secondary public schools.

Proxying economic activity with daytime satellite imagery: Filling data gaps across time and space.

This paper develops a novel procedure for proxying economic activity with daytime satellite imagery across time periods and spatial units, for which reliable data on economic activity are otherwise not available. In developing this unique proxy, we apply machine-learning techniques to a historical time series of daytime satellite imagery dating back to 1984. Compared to satellite data on night light intensity, another common economic proxy, our proxy more precisely predicts economic activity at smaller regional levels and over longer time horizons.

How can we inspire nations of learners? An investigation of growth mindset and challenge-seeking in two countries.

Here we evaluate the potential for growth mindset interventions (that teach students that intellectual abilities can be developed) to inspire adolescents to be "learners"-that is, to seek out challenging learning experiences. In a previous analysis, the U.S.

Online education platforms scale college STEM instruction with equivalent learning outcomes at lower cost.

Meeting global demand for growing the science, technology, engineering, and mathematics (STEM) workforce requires solutions for the shortage of qualified instructors. We propose and evaluate a model for scaling up affordable access to effective STEM education through national online education platforms. These platforms allow resource-constrained higher education institutions to adopt online courses produced by the country's top universities and departments.

Lessons learned from a data-driven college access program: The National College Advising Corps.

This chapter discusses the collaboration between a national college access program, the National College Advising Corps (NCAC), and its research and evaluation team at Stanford University. NCAC is currently active in almost four hundred high schools and through the placement of a recent college graduate to serve as a college adviser provides necessary information and support for students who may find it difficult to navigate the complex college admission process. The advisers also conduct outreach to underclassmen in an effort to improve the school-wide college-going culture.

Student supports: developmental education and other academic programs.

Low rates of college completion are a major problem in the United States. Less than 60 percent of students at four-year colleges graduate within six years, and at some colleges, the graduation rate is less than 10 percent. Additionally, many students enter higher education ill-prepared to comprehend college-level course material.