Policymakers in developing countries have prioritized the mass expansion of vocational education and training (VET). Evidence suggests, however, that the quality of VET can be poor. One possible reason given by policymakers for this is a lack of resources per student. The goal of this study is to examine whether the quality of VET in developing countries increases by investing greater resources per student. To achieve this goal, we examine the impacts of attending model schools (which have far more resources per student) compared with non-model schools (which have fewer resources) on a range of student cognitive, non-cognitive, and behavioral outcomes. Using representative data from a survey of approximately 12,000 VET students from China, multivariate regression and propensity score matching analyses show that there are no significant benefits, in terms of student outcomes, from attending model vocational high schools, despite their substantially greater resources.

The demand for large-scale assessments in higher education, especially at an international scale, is growing. A major challenge of conducting these assessments, however, is that they require understanding and balancing the interests of multiple stakeholders (government officials, university administrators, and students) and also overcoming potential unwillingness of these stakeholders to participate. In this paper, we take the experience of the Study of Undergraduate Performance (SUPER) in conducting a large-scale international assessment as a case study. We discuss ways in which we mitigated perceived risks, built trust, and provided incentives to ensure the successful engagement of stakeholders during the study’s implementation.

We examine the effects of computer-based versus paper-based assessment of critical thinking skills, adapted from English (in the U.S.) to Chinese. Using data collected based on a random assignment between the two modes in multiple Chinese colleges, we investigate mode effects from multiple perspectives: mean scores, measurement precision, item functioning (i.e. item difficulty and discrimination), response behavior (i.e. test completion and item omission), and user perceptions. Our findings shed light on assessment and item properties that could be the sources of mode effects. At the test level, we find that the computer-based test is more difficult and more speeded than the paper-based test. We speculate that these differences are attributable to the test’s structure, its high demands on reading, and test-taking flexibility afforded under the paper testing mode. Item-level evaluation allows us to identify item characteristics that are prone to mode effects, including targeted cognitive skill, response type, and the amount of adaptation between modes. Implications for test design are discussed, and actionable design suggestions are offered with the goal of minimizing mode effect.

In some accountability regimes, teachers pay more attention to higher achieving students at the expense of lower achieving students. The overall goal of this study is to examine, in this type of accountability regime, the impacts of a pay-for-percentile type scheme in which incentives exist for all students but which are larger for improving the achievement of lower achieving students. Analyzing data from a large-scale randomized experiment in rural China, we find that incentives improve average achievement by 0.10 SDs and the achievement of low-achieving students by 0.15 SDs. We find parallel changes in teacher behavior and curricular coverage. Taken together, the results demonstrate that incentive schemes can effectively address teacher neglect of low-achieving students.

In China, education gaps exist not only between rural and urban students, but also within the population of rural students. Evidence points to poor reading skills development as one possible factor in this gap. If reading skills are moderating variations in academic performance among rural students, what factors in the home and school environment lead some students to develop strong reading skills? Using data from 1870 primary school students in rural China, the results show considerable variation in student reading skills. The home environment is strongly linked to reading skills, whereas school factors are not positively associated with reading skills. These findings suggest that policies and programs to support student reading skills are needed in rural China.

In the preschool period, interactions between teachers and children are an essential input for healthy development. However, it is not well understood how the qualifications of preschool teachers contribute to child development during the preschool period, and previous international studies have returned mixed results. We drew on data from a longitudinal study of 1031 preschool children age 49–65 months in rural China to examine the associations between teacher qualifications and the development of preschool children. The findings showed that 36% of preschool children in the sample are developmentally delayed.Overall, teacher qualifications (education level, specialization in early childhood education, professional ranking, experience and training) were significantly associated with preschool-age child developmental outcomes. Teacher professional ranking and educational attainment were positively and significantly correlated with two measures of child language development, but a degree specialized in early child-hood education was negatively related to vocabulary acquisition. No significant correlations were found between teacher experience or teacher training and child developmental outcomes. The study concludes that policymakers should encourage highly educated and professionally ranked teachers to serve in rural preschools in order to improve the development of preschool children.

This paper seeks to understand the learning outcomes that prevail across key subpopulations in China today. Data from a nationally representative survey show that rural youth are two years behind urban children in math and Chinese. Non-Han minorities, children in poorer counties, and children with less-educated parents are the most vulnerable.

Previous studies reflect a high prevalence of depressive symptoms among Taiwanese adolescents (ages 13–18), but there is an absence of literature related to the risk of depression of children in Taiwan (ages 6–12), particularly among potentially vulnerable subgroups. To provide insight into the distribution of depressive symptoms among children in rural Taiwan and measure the correlation between academic performance, we conducted a survey of 1655 randomly selected fourth and fifth-grade students at 92 sample schools in four relatively low-income counties or municipalities. Using the Center for Epidemiological Studies-Depression Scale (CES-D) we assessed the prevalence of depressive symptoms in this sample, in addition to collecting other data, such as performance on a standardized math test as well as information on a number of individual and household characteristics. We demonstrate that the share of children with clinically significant symptoms is high: 38% of the students were at risk of general depression (depression score ≥ 16) and 8% of the students were at risk of major depression (depression score > 28). The results of the multivariate regression and heterogeneous analysis suggest that poor academic performance is closely associated with a high prevalence of depressive symptoms. Among low-performing students, certain groups were disproportionately affected, including girls and students whose parents have migrated away for work. Results also suggest that, overall, students who had a parent who was an immigrant from another country were at greater risk of depression. These findings highlight the need for greater resource allocation toward mental health services for elementary school students in rural Taiwan, particularly for at-risk groups. 

Educational tracks create differential expectations of student ability, raising concerns that the negative stereotypes associated with lower tracks might threaten student performance. The authors test this concern by drawing on a field experiment enrolling 11,624 Chinese vocational high school students, half of whom were randomly primed about their tracks before taking technical skill and math exams. As in almost all countries, Chinese students are sorted between vocational and academic tracks, and vocational students are stereotyped as having poor academic abilities. Priming had no effect on technical skills and, contrary to hypotheses, modestly improved math performance. In exploring multiple interpretations, the authors highlight how vocational tracking may crystallize stereotypes but simultaneously diminishes stereotype threat by removing academic performance as a central measure of merit. Taken together, the study implies that reminding students about their vocational or academic identities is unlikely to further contribute to achievement gaps by educational track.