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Abstract 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. Concretely, we convert the computer‐based survey instruments into text messages (SMS). Collecting mindset survey data from 3570 students in São Paulo State as schools gradually reopened in early 2021, we validate our methodology by matching key patterns in our data to previous findings in the literature. We also train a machine learning model on our data and show that it can (1) accurately classify students' SMS responses, (2) accurately classify student mindsets even based on text written in other media, and (3) rate the fidelity of different interventions to the published growth mindset curricula. 

Abstract Socioeconomic disparities in academic progress have persisted throughout the history of the United States, and growth mindset interventions—which shift beliefs about the malleability of intelligence—have shown promise in reducing these disparities. Both the study of such disparities and how to remedy them can benefit from taking the “long view” on adolescent development, following the tradition of John Schulenberg. To do so, this study focuses on the role of growth mindsets in short‐term academic progress during the transition to high school as a contributor to longer‐term educational attainment. Guided by the Mindset × Context perspective, we analyzed new follow‐up data to a one‐year nationally representative study of ninth graders (National Study of Learning Mindsets,n = 10,013; 50% female; 53% white; 63% from lower‐SES backgrounds). A conservative Bayesian analysis revealed that adolescents' growth mindset beliefs at the beginning of ninth grade predicted their enrollment in college 4 years later. These patterns were stronger for adolescents from lower‐SES backgrounds, and there was some evidence that the ninth‐grade math teacher's support for the growth mindset moderated student mindset effects. Thus, a time‐specific combination of student and teacher might alter long‐term trajectories by enabling adolescents to develop and use beliefs at a critical transition point that supports a cumulative pathway of course‐taking and achievement into college. Notably, growth mindset became less predictive of college enrollment after the onset of the COVID‐19 pandemic, which occurred in the second year of college and introduced structural barriers to college persistence. 

Abstract BackgroundSingle‐session interventions have the potential to address young people's mental health needs at scale, but their effects are heterogeneous. We tested whether themindset + supportive contexthypothesis could help explain when intervention effects persist or fade over time. The hypothesis posits that interventions are more effective in environments that support the intervention message. We tested this hypothesis using the synergistic mindsets intervention, a preventative treatment for stress‐related mental health symptoms that helps students appraise stress as a potential asset in the classroom (e.g., increasing oxygenated blood flow) rather than debilitating. In an introductory college course, we examined whether intervention‐consistent messages from instructors sustained changes in appraisals over time, as well as impacts on students' predisposition to try demanding academic tasks that could enhance learning. MethodsWe randomly assigned 1675 students in the course to receive the synergistic mindsets intervention (or a control activity) at the beginning of the semester, and subsequently, to receive intervention‐supportive messages from their instructor (or neutral messages) four times throughout the term. We collected weekly measures of students' appraisals of stress in the course and their predisposition to take on academic challenges. Trial‐registration: OSF.io; DOI: 10.17605/osf.io/fchyn. ResultsA conservative Bayesian analysis indicated that receiving both the intervention and supportive messages led to the greatest increases in positive stress appraisals (0.35SD; 1.00 posterior probability) and challenge‐seeking predisposition (2.33 percentage points; 0.94 posterior probability), averaged over the course of the semester. In addition, intervention effects grew larger throughout the semester when complemented by supportive instructor messages, whereas without these messages, intervention effects shrank somewhat over time. ConclusionsThis study shows, for the first time, that supportive cues in local contexts can be the difference in whether a single‐session intervention's effects fade over time or persist and even amplify.