This paper studies the unintended effect of English language requirement on educational inequality by investigating how the staggered rollout of English listening tests in China’s high-stakes National College Entrance Exam (NCEE) affected the rural-urban gap in college access. Leveraging administrative data covering the universe of NCEE participants between 1999 and 2003, we find that the introduction of English listening tests significantly lowered rural students’ exam score percentile ranks relative to their urban counterparts, resulting in a 30% increase in the rural-urban gap in college access. Our back-of-the-envelope calculations suggest that, as a result of this policy change, more than 54,000 rural students lost college seats to their urban peers between 1999 and 2003, and another 11,000 rural students who elite colleges could have admitted ended up in non-elite colleges, causing them significant future income losses.

Despite the proliferation of education technologies (EdTech) in education, past reviews that examine their effectiveness in the context of low- and middle-income countries are few and rarely seek to include studies published in languages other than English. This systematic review investigates the effectiveness of educational technology on primary and secondary student learning outcomes in China via a systematic search of both English- and Chinese-language databases. Eighteen (18) unique studies in 21 manuscripts on the effectiveness of EdTech innovations in China met the eligibility criteria. The majority of these evaluate computer aided self-led learning software packages designed to improve student learning (computer assisted learning, CAL), while the rest evaluate the use of education technology to improve classroom instruction (ICI) and remote instruction (RI). The pooled effect size of all included studies indicates a small, positive effect on student learning (0.13 SD, 95% CI [0.10, 0.17]). CAL used a supplement to existing educational inputs – which made up the large majority of positive effect sizes – and RI programs consistently showed positive and significant effects on learning. Our findings indicate no significant differences or impacts on the overall effect based on moderating variables such as the type of implementation approach, contextual setting, or school subject area. Taken together, while there is evidence of the positive impacts of two kinds of EdTech (supplemental computer assisted learning and remote instruction) in China, more evidence is needed to determine the effectiveness of other approaches.

The objective of the current study is to examine the impact of an in-school computer-assisted learning (CAL) intervention on the math achievement of rural students in Taiwan, including a marginalized subgroup of rural students called Xinzhumin, and the factors associated with this impact. In order to achieve this, we conducted a cluster randomized controlled trial involving 1,840 fourth- and fifth-grade students at 95 schools in four relatively poor counties and municipalities of Taiwan during the spring semester of 2019. While the Intention-To-Treat (ITT) analysis found that the CAL intervention had no significant impacts on student math achievement, the Local Average Treatment Effect (LATE) analysis revealed significant associations with the math performance of the most active 20% of students in the treatment group. LATE estimates suggest that using CAL for more than 20 minutes per week for ten weeks corresponds to higher math test scores, both in general (0.16 SD–0.22 SD), and for Xinzhumin students specifically (0.3 SD–0.34 SD). Teacher-level characteristics were associated with compliance rates.

In low- and middle-income countries, urbanization has spurred the expansion of peri-urban communities, or urban communities of formerly rural residents with low socioeconomic status. The growth of these communities offers researchers an opportunity to measure the associations between the level of urbanization and the home language environment (HLE) among otherwise similar populations. Data were collected in 2019 using Language Environment Analysis observational assessment technology from 158 peri-urban and rural households with Han Chinese children (92 males, 66 females) aged 18–24 months in China. Peri-urban children scored lower than rural children in measures of the HLE and language development. In both samples, child age, gender, maternal employment, and sibling number were positively correlated with the HLE, which was in turn correlated with language development.

Besides increasing knowledge, there is another potential mechanism at work when information is delivered to a treatment group: increasing the salience of existing knowledge. We use data from a randomized controlled trial of a health information campaign to explore the relative importance of this additional mechanism in a real-world environment. The health information campaign addressed the benefits of wearing eyeglasses and provided information meant to address the common misconceptions that contribute to low adoption rates of eyeglasses. In total, our study sample included 931 students with poor vision (mostly myopia), their parents, and their homeroom teachers in 84 primary schools in rural China. We find that the health information campaign was able to successfully increase student ownership and wearing of eyeglasses, relative to a control group. We demonstrate that the campaign had a larger impact when levels of preexisting information among certain subgroups of participants—namely, parents of students—were higher while we simultaneously provided new information to others. This suggests that the interaction between directed attention (i.e., salience) and baseline knowledge is important. We do not, however, find similar increases among teachers or the students themselves and additionally find no impacts on academic outcomes.

This study examines the level and equity of household education spending in China using representative microdata. The findings reveal that education expenditure constitutes a substantial portion of household income, averaging around 17.1%. Moreover, there is an inverse relationship between household income and the fraction of income spent on education, with the top quartile spending 10.6% of their income on education, while the bottom quartile spends a staggering 56.8%. Regression analysis indicates an income elasticity of 0.306, implying that education is a necessity good in China. These results underscore the excessive financial burden imposed by education expenditure, particularly on families in the lower income bracket. To promote equal opportunities and achieve broad, long-term economic benefits, it is imperative to implement new public policies in China that improve the affordability of education for a broader segment of the population.

China's higher education system has undergone a rapid expansion over the last two decades. By drawing on hand-collected data, we explore students' experiences in college and in the labor market post-graduation in the wake of this expansion. According to our data, the largest employer of college graduates in the labor market was the state sector, followed by the domestic private sector. To explain the returns to college education in China, we explore three mechanisms: human capital, social networks, and signaling. We find that human capital measures, apart from a student's college English test scores, cannot explain the college wage premium, whereas both social networks (for example, membership of the Communist Party) and signaling matter significantly. This seems to indicate that in China, connections are crucial for student success in the labor market, whereas the higher education system itself is more a system for selecting talented individuals than it is for educating them. Finally, students allocate their time accordingly, for example, by spending more time studying English in college than any other subject.

One out of every three children under the age of 5 in developing countries lives in an environment that impedes human capital development. Children growing up in resource-poor settings are at an increased risk of early developmental delay due to risk factors such as being in environments that lack cognitive stimulation, nutrition, or care in the home environment. Given that early developmental deficits are difficult to reverse later in life, such deficits are key drivers of inequality and impediments for intergenerational mobility. This policy brief reviews this problem and then proposes a design of cost-effective, scalable, and sustainable parental training programs (focusing on psychosocial stimulation for young children) as a global strategy to improve the developmental opportunities of children before they reach the age of 5 in developing countries, to remediate social inequalities, and to boost long-term economic development. We present concrete policy recommendations for the implementation of such programs at scale.

EdTech,  which  includes  computer  assisted  learning  (CAL),  online  education,  and  remote instruction,  was  expanding  rapidly  even  before  the  current  full-scale  substitution  for  in-person learning  at  all  levels  of  education  around  the  world  because  of  COVID-19.  Studies  of  CAL interventions  often  find  positive  effects,  however,  these “CAL  programs”  often  include  non-technology based inputs such as more time on learning and instructional support by facilitators in addition to technology-based components. In this paper, we discuss the possible channels by which CAL programs affect academic outcomes among schoolchildren. We isolate the technology-based effects  of  CAL  from  the  total  program  effects  by  designing  a  novel  multi-treatment  field experiment with more than four thousand schoolchildren in rural China. For the full sample, we find null effects for both the total CAL program and the technology-based effects of CAL (which are measured relative to a traditional pencil-and-paper learning treatment) on math test scores. For boys, however, we find a positive and statistically significant effect of the CAL program, but  do not find evidence of a positive effect for the technology-based effect of CAL. When focusing on grades, we find evidence of positive CAL program effects but find null effects when we isolate the technology-based effects of CAL. Our empirical results suggest that the “Tech” in EdTech may have  relatively  small  additional  effects  on  academic  outcomes  and  yet  that  tech  programs  can substitute atleast to a certain extent for traditional learning.

This study utilizes semi-structured interviews to explore the status quo of teacher training of rural and urban public primary school teachers in Henan Province China. Our findings showed that both rural and urban teachers had very limited training opportunities available to them. Most of the participants did not find the current training opportunities useful in improving their teaching practices. Both rural and urban teachers desired training in pedagogy, educational psychology, and curriculum. Rural teachers particularly expressed the need for training in ICT and classroom management skills. Observing education experts’ demonstration classes is the most preferred training format. Policy implications are discussed.

This study investigated the association between household characteristics, perceived family support (PFS), and the developmental outcomes (resilience, academic performance, and prosociality) among at-risk students. Our large sample included 1564 primary and secondary school students from poor rural China (M = 11.55 years old). Having a caregiver whose resilience score was in the top 50% of the sample was associated with a 0.48-point increase (or 0.31 d effect size), while having a migrant mother was correlated with a 0.26-point decrease (or 0.17 d effect size). PFS was a significant (p < 0.0001) mediator between household characteristics and developmental outcomes. Our study highlights the link between caregiver resilience and PFS, and the healthy functioning of disadvantaged students in a developing context.

Parental investment in the home language environment during the earliest years is a critical predictor of early language development. Because most studies investigating the home language environment and child language development have been conducted in Western, high-income, and developed settings, less is known about such environments in low- or middle-income settings. This study was conducted in a peri-urban area in Southwestern China in a sample of 81 rural migrant and urbanized farmer families with children aged 18-24 months. The home language environment was measured using Language Environment Analysis (LENA) recorders and software, while early language development was measured using the MacArthur-Bates Communicative Developmental Inventories expressive vocabulary scale. Findings reveal large and substantial variation in the sample's home language environments and a strong association between the home language environment and child language development. Certain demographic characteristics, such as household resources, maternal employment, and gender, are associated with the home language environment. These findings highlight the needs for interventions specifically targeting the home language environment to improve early language development of young children and for more research on early childhood development in peri-urban China.

Using premier Language Environment Analysis technology to measure and analyze the home language environment, this observational study aims to describe the home language environment and child language ability, drawing on empirical data from 77 households with children aged 18–24 months from rural China. The results show large variation in measures of the home language environment and early language ability, similar to other rural Chinese samples. Results also demonstrate significant correlations between child age and the home language environment, maternal employment and the home language environment, father’s educational attainment and the home language environment, adult–child conversations and early language ability, and child vocalizations and early language ability.

Purpose: We examine how adolescent free time allocation—namely, screen time and outdoor time—is associated with mental health and academic performance in rural China.

Methods: This paper used a large random sample of rural junior high school students in Ningxia (n = 20,375; age=13.22), with data collected from self-reported demographic questionnaires (to assess free time allocation), the Strengths and Difficulties Questionnaire (to assess mental health), and a standardized math test (to measure academic performance). We utilized a multivariate OLS regression model to examine associations between free time allocation and adolescent outcomes, controlling for individual and family characteristics.

Results: Our sample’s screen time and outdoor time both averaged around 1 hour. About 10% of the sample adolescents reported behavioral difficulties, while a similar percentage (11%) reported abnormal prosocial behaviors. Adolescents with higher levels of screen time (> 2 hours) were 3 percentage points more likely to have higher levels of behavioral difficulties (p< 0.001), indicating that excessive screen time was associated with worse mental health. Meanwhile, outdoor time was associated with better mental health, and positive correlations were observed at all levels of outdoor time (compared to no outdoor time, decreasing the likelihood of higher levels of behavioral difficulties by between 3 and 4 percentage points and of lower prosocial scores by between 6 and 8 percentage points; all p’s< 0.001). For academic performance, average daily screen times of up to 1 hour and 1– 2 hours were both positively associated with standardized math scores (0.08 SD, p< 0.001; 0.07 SD, p< 0.01, respectively), whereas there were no significant associations between outdoor time and academic performance.

Conclusion: Using a large sample size, this study was the first to examine the association between adolescent free time allocation with mental health and academic performance, providing initial insights into how rural Chinese adolescents can optimize their free time.

According to World Bank data, only a handful of economies have risen from middle to high-income status since 1960, when economic catch-up growth in many developing economies took off. This article looks at how China compares to other countries stuck at the middle-income level.

Background
A rich language environment is an important element of a nurturing home environment. Despite their proven importance, vocabulary and conversation have been shown to vary widely across households—even within the same socio-economic class. One significant gap in the existing literature is its nearly exclusive geographic focus on Western and developed settings, with little attention given to poorer communities in lower/middle income countries. The purpose of this study was to empirically illustrate the characteristics of the home language environment in the low SES, non-Western cultural setting of rural China.

Methods
Using Language Environment Analysis (LENA) automated language-analysis system, this study measured the home language environment of 38 children aged 20-27 months in Northwest rural China. Our primary measures of the home language environment were Adult Word Count (AWC), Conversational Turn Count (CTC) and Child Vocalization Count (CVC). Multivariate linear regression models were used to examine the association between home language environment and family/child characteristics, and language skills (Measured by MacArthur-Bates Communicative Developmental Inventory score).

Results
In this paper, by comparison, we found that the home language environment of our rural sample fell far behind that of urban households. We also identify significant, positive correlations between language skills and both AWC and CTC. Our analysis finds no significant correlations between home language environment and family/child characteristics.

Conclusion
In this paper, we present the first ever findings using the LENA system to measure the home language environment of young children from poor rural communities in China. We found that the home language environment of lower-SES household was significantly worse than high-SES households, and demonstrated the importance of the home language environment to language skills, pointing to a need for more high-quality studies of the home language environment in rural China to better understand possible mechanisms behind low levels of parent-child language engagement and ways to improve the home language environment.

Introduction Millions of young rural children in China still suffer from poor health and malnutrition, partly due to a lack of knowledge about optimal perinatal and child care among rural mothers and caregivers. Meanwhile, there is an urgent need to improve maternal mental health in rural communities. Comprehensive home visiting programmes delivered by community health workers (CHWs) can bridge the caregiver knowledge gap and improve child health and maternal well-being in low-resource settings, but the effectiveness of this approach is unknown in rural China. Additionally, grandmothers play important roles in child care and family decision-making in rural China, suggesting the importance of engaging multiple caregivers in interventions. The Healthy Future programme seeks to improve child health and maternal well-being by developing a staged-based curriculum that CHWs deliver to mothers and caregivers of young children through home visits with the assistance of a tablet-based mHealth system. This protocol describes the design and evaluation plan for this programme.

Methods and analysis We designed a cluster-randomised controlled trial among 119 rural townships in four nationally designated poverty counties in Southwestern China. We will compare the outcomes between three arms: one standard arm with only primary caregivers participating in the intervention, one encouragement arm engaging primary and secondary caregivers and one control arm with no intervention. Families with pregnant women or infants under 6 months of age are invited to enrol in the 12-month study. Primary outcomes include children’s haemoglobin levels, exclusive breastfeeding rates and dietary diversity in complementary feeding. Secondary outcomes include a combination of health, behavioural and intermediate outcomes.

Despite major advancements in China’s K-12 educational outcomes over the past several decades, large regional inequities in academic achievement still exist, a proximal cause of which are gaps in teaching quality. Although conventional approaches to improving teaching quality for disadvantaged populations have overall been unsuccessful in China (i.e., student relocation to better-resourced urban schools, attracting high-quality teachers to low-resource rural schools, and rural teacher training), technology-assisted instruction may play a role in bridging these gaps. This paper explores why conventional approaches to improving teaching have not been effective in rural China and then describes the potential applications of technology-assisted instruction based on the small but growing body of empirical literature evaluating such interventions in other low- and middle-income countries. The paper concludes that while other (non-tech) interventions have thus far been ineffective at raising teaching quality, China may be uniquely positioned to harness technology-assisted instruction due to a favorable ecosystem for the scaling of EdTech in rural areas, though much more experimental research is necessary to assess which approaches and technologies are most cost-effective and how to best scale them.

Family-level factors that characterize the home environment are critical inputs to early language and cognitive development, and potential mechanisms for improving developmental outcomes in vulnerable populations. Many studies conducted in high-income and Western settings highlight stimulating parenting, the home language environment, and parental self-efficacy as possible mechanisms of early development, though less is known about how these family-level factors impact child development in low- or middle-income settings. Even less is known about these family-level factors and early childhood development in rural China, where rates of cognitive and language delay in children aged 0–3 years are as high as 45% and 46%, respectively. Using data collected from 77 rural households with children aged 18–24 months in Southwestern China, this study examines the associations between stimulating parenting, the home language environment, and parental self-efficacy, and early cognitive and language development. The results indicate that stimulating parenting was significantly associated with cognitive, language, and overall development; the home language environment was only significantly associated with language development; and parental self-efficacy was not significantly associated with any developmental outcomes. The implications of such findings reveal mechanisms for supporting healthy child development in rural China.

As digital devices like computers become more widely available in developing countries, there is a growing need to understand how the time that adolescents spend using these devices for recreational purposes such as playing video games is linked with their mental health outcomes. We measured the amount of time that adolescents in rural China spent playing video games and the association of video game time with their mental health. We collected data from primary and junior high schools in a poor, rural province in northwest China (n = 1603 students) and used the Depression, Anxiety, and Stress Scales (DASS-21) to measure mental health symptoms. The results indicated that the average video game time was about 0.69 h per week. There was a significant association between adolescent video game time and poorer mental health. Each additional hour of playing video games also increased the chance of having moderate or above symptoms. Moreover, boys and non-left-behind children had worse mental health if they played more video games. Our study contributes to literature on the links between recreational screen time and mental health, and it sheds light on an issue addressed by recent government legislation to limit the video game time of minors in China.

The self-esteem of students may be significantly associated with their academic performance. However, past research in developing contexts on this issue is limited, particularly among early adolescents. Using a sample of 3101 students from rural primary and junior high schools in China, this study measured their self-esteem by the Rosenberg Self-Esteem Scale (RSES) and explored its association with academic performance. Our findings indicate that students in rural China had both significantly lower self-esteem and a higher prevalence of low self-esteem when compared to past studies of similarly aged students both from urban China and internationally. Furthermore, there was a strong positive correlation between a student’s self-esteem and academic performance. A one-SD increase in RSES score (indicating better self-esteem) was associated with an increase of 0.12 SD in standardized math scores (p < 0.001), and students with low self-esteem (RSES score < 25) scored lower on math tests by 0.14 SD (p < 0.001), which were robust and consistent when employing the propensity score matching method. Our study expands the growing body of empirical evidence on the link between self-esteem and academic performance among rural youth in developing countries and emphasizes the need to improve their self-esteem with the aim of helping them achieve academically.

One out of every three children under age 5 in developing countries lives in conditions that impede human capital development. In this study, we survey the literature on parenting training programs implemented before age 5, with the aim to increase parental investment in human capital accumulation in developing countries. Our review focuses on the implementation and effectiveness of parenting training programs (i.e., training in child psychosocial stimulation and/or training about nutrition). We emphasize the mechanisms that drive treatment-induced change in human capital outcomes and identify the demand- and supply-side behaviors that affect efficacy and effectiveness. Although the literature includes evidence on program features that are associated with successful interventions, further evidence on the dynamics of human capital formation, documentation of medium- to long-term persistence of treatment impacts, and research on the implementation and evaluation of programs at scale are needed to delineate a scalable and inclusive program that provides long-term treatment impacts.

Although eyeglasses have been considered a cost-effective way to combat myopia, the empirical evidence of its impacts on improving learning outcomes is inconsistent. This paper provides empirical evidence examining the effect of providing eyeglasses on academic performance between provinces with a different economic level in western China. Overall, we find a significant impact in Intention-to-Treat analysis and a large and significant local average treatment effect of providing free eyeglasses to students in the poor province but not in the other. The difference in impact between the two provinces is not a matter of experimental design, implementation, or partial compliance. Instead, we find that the lack of impact in the wealthier provinces is mainly due to less blackboard usage in class and wealthier households. Our study found that providing free eyeglasses to disadvantaged groups boosted their academic performance more than to their counterparts.

This study conducts an exploratory analysis of the impacts of a center-based early childhood development intervention on the mental health of caregivers, using data from a cluster-randomized controlled trial of 1664 caregivers (Mage = 36.87 years old) of 6- to 24-month-old children in 100 villages in rural China. Caregivers and children in 50 villages received individual parenting training, group activities and open play space in village parenting centers. The results show no significant overall change in caregiver-reported mental health symptoms after 1 year of intervention. Subgroup analyses reveal heterogeneous effects by caregiver socioeconomic status and identity (mother vs. grandmother). Findings suggest that early childhood development interventions without targeted mental health components may not provide sufficient support to improve caregiver mental health.

Resilience can play an important role in enabling disadvantaged students to succeed academically. However, few studies in low-resource contexts have evaluated resilience as a process (including a child’s internal capabilities and external resources, like the internal capabilities of a child’s caregiver) and as an outcome (e.g., academic achievement). In the current study, we examined the associations among students’ self-reported internal capabilities, their external resources (e.g., caregivers’ internal capabilities), and their academic resilience (operationalized as performance on a math test). The study was conducted among 1609 primary and secondary school students in rural China using the Connor–Davidson Resilience Scale (CD-RISC) to measure internal capabilities. Student CD-RISC scores were positively associated with external resources including caregiver CD-RISC scores, maternal education level, high levels of perceived social support, recreational reading, and involvement in group-based activities at school. A one-point increase in students’ CD-RISC scores was associated with a 0.01 SD increase in math score (p < 0.001), and the math scores of students whose CD-RISC scores were in the bottom quartile were 0.18 SD lower than those of their peers (p < 0.01). High levels of perceived social support and recreational reading were also associated with academic resilience in the adjusted equation. Directions for future research and policy implications are discussed.