Rural girls in China stay in school longer than boys and outperform them in many subjects. This gender gap suggests analogous disparities in early childhood development, a key factor in later educational outcomes. This study examines gender disparities in social-emotional development among 1,301 children aged 18–30 months in rural China. Results indicate that male children trail their female counterparts by 0.18 SD on average on the scale of standardized ASQ:SE score. A large share of the difference is driven by the bottom 10 % of children, where the magnitude of the gender gap (0.34 SD) is 1.9 times larger than at the median (0.19 SD). Demographic characteristics are uncorrelated with the gender gap in heterogeneity analysis, suggesting that the mechanisms underlying observed gender disparities are similar across rural Chinese households.

To examine the association between electronic media exposure and parental language input, Language Environment Analysis technology was used to collect data on electronic media exposure and parental language input in 158 peri-urban and rural households with children aged 18–24 months in southwestern China. The sounds children made and the sounds they heard were quantified. Multiple linear regression and quantile linear regression were used to determine the relationship between electronic media and the outcomes of interest. The results showed that each hour of electronic media exposure was associated with reduced conversational turn count (p < .05) and child vocalization count (p < .05). A large share of the reduction was driven by the higher quantile of children. Reductions associated with electronic exposure were also observed in number of segments and conversational turns. These results may help explain the association between child electronic media exposure and language delay in an under-studied and at-risk population.

Background: To explore the associations between anxiety and depression symptoms and academic burnout among children and adolescents in China, and to examine the role of resilience and self-efficacy in addressing academic burnout.

Methods: A total of 2,070 students in grades 4–8 were recruited from two primary and three middle schools in Shanghai, completed the Elementary School Student Burnout Scale (ESSBS), the Multidimensional Anxiety Scale for Children-Chinese (MASC-C), the Center for Epidemiological Studies Depression Scale (CES-D), the Connor-Davidson Resilience Scale (CD-RISC), and the General Self-Efficacy Scale (GSES), with 95.04% effective response rate. Multivariable regression analyses examining the associations between anxiety / depression symptoms and academic burnout (as well as the associations between resilience / self-efficacy and academic burnout) were performed using STATA 16.0 and SmartPLS 3.0.

Results: Anxiety symptoms (β = 0.124, p < 0.01) and depression symptoms (β = 0.477, p < 0.01) were positively correlated with academic burnout. Resilience partially mediated the association between depression symptoms and academic burnout (β = 0.059, p < 0.01), with a mediation rate of 12.37%. Self-efficacy partially mediated the associations between anxiety symptoms and academic burnout (β = 0.022, p < 0.01) and between depression symptoms and academic burnout (β = 0.017, p < 0.01), with mediation rates of 17.74% and 3.56%, respectively. Resilience and self-efficacy together (β = 0.041, p < 0.01) formed a mediating chain between depression symptoms and academic burnout, with a mediation rate of 8.6%.

Conclusions: Anxiety and depression symptoms were positively associated with academic burnout. Resilience and self-efficacy were found to mediate the associations partially.

To better understand the impacts of parenting interventions (e.g., parental training of psychosocial stimulating activities) on child developmental outcomes and design effective policies to benefit young children, it is essential to identify the mechanisms through which the interventions work. To this end, this paper presents the results of two randomized controlled trials that offered home visitation, parenting trainings to 435 households (with 527 households as the control group) in 174 villages across three provinces in China. The findings from the randomized controlled trials showed that the interventions significantly improved child cognitive development and had a positive effect on the primary caregivers’ parenting practices and their parenting beliefs. The analysis suggests three possible mechanisms through which the parenting interventions affected child cognitive development: changing the parenting beliefs of the primary caregivers, shifting the parenting practices of the primary caregivers, and improving the primary caregivers’ parenting beliefs, thus fostering better parenting practices.

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.

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.