GTG Research

A new report by Florence G'sell,  visiting professor in the program on the Governance of Emerging Technologies, at the Cyber Policy Center addresses the urgent need for AI regulation. 

The online child safety ecosystem has already witnessed several key improvements in the months following the April publication of a landmark Stanford Internet Observatory (SIO) report, writes Riana Pfefferkorn, formerly a research scholar at the SIO and now a policy fellow at the Stanford Institute for Human-Centered Artificial Intelligence (HAI).

Background: The association between sleep patterns and young students’ mental health, which is crucial for their development, remains understudied in rural China. Therefore, the relationship between sleep patterns and mental health among primary and junior high school students in rural China was examined. Method: A total of 1592 primary and junior high school students from rural areas of Gansu Province were surveyed, and the Depression Anxiety and Stress Scale (DASS) was utilized to assess mental health, alongside self-reported data on their daily sleep patterns. Results: Significant sleep inadequacies were identified: 28% of students received less than 8 h of sleep on weekdays, and 19% went to bed later than recommended. On weekends, 38% of students had delayed bedtimes, though only 7.2% received less than 8 h of sleep. Notably, a “U-shaped” relationship was uncovered between sleep duration and mental health for students on weekends, with optimal mental health correlated with receiving 10–11 h of sleep, while both shorter and longer sleep durations on weekends worsened outcomes. This pattern is absent on weekdays. Additionally, adequate sleep and an earlier bedtime was linked to a 6–8% decrease in mental health risks. Conclusions: These findings provide valuable insights for policymakers seeking to enhance student mental well-being in rural settings, emphasizing the importance of implementing measures that promote balanced sleep habits among young students.

Policymakers in China have attempted to improve the quality of rural education by investing in teacher salaries through initiatives like the Rural Teachers Support Plan (RTSP). This study estimates the effects of teacher salary increase on students' educational outcomes in rural China by utilizing the exogenous variations of rural teacher salaries induced by the RTSP. It employs an intensity-based difference-in-differences strategy and panel data from 2010 to 2018 with 3,351 rural children. The findings reveal that an increase in teacher salaries had a significant positive impact on students' examination results. Moreover, the results of mechanism analysis indicate that salary increases could have both quality and quantity effects on students' outcomes by increasing the proportion of highly educated teachers and reducing the student–teacher ratio. Our findings contribute to the discussion on the importance of teacher salary incentives in education production functions and provide insights for other countries undertaking rural education reforms.

New research casts doubt on a long-standing theory.

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.

Purpose
China’s rapid urbanization has been associated with increased mental health challenges, especially in rural-to-urban migrant children. This study evaluates the effects of mindfulness and life-skills (LS) training on emotional regulation and anxiety symptoms from a randomized controlled trial aimed at improving the mental health of Chinese migrant children.

Methods
Two intervention arms—mindfulness training (MT) and MT plus LS mentorship (MT + LS)—were compared to a waitlist control group of 368 migrant children aged 9–17 years. Volunteers were trained to deliver interventions to 285 migrant children in small groups of 15 for eight weeks weekly. Social integration varied: migrant children mixed with local children at public schools were considered highly integrated, those in migrant-only classrooms at public schools had intermediate levels of integration, and children in private migrant schools had low integration. Emotion regulation and anxiety symptoms were assessed preintervention, postintervention, and three months postintervention.

Results
Postintervention and compared to the control group, children with high social integration in the MT arm showed increased cognitive reappraisal ability (p < .05) but higher physical anxiety (p < .01). Children with high social integration in the MT + LS arm had lower anxiety symptoms of harm avoidance (p < .01) and physical anxiety (p < .05). Children with low social integration in the MT + LS arm showed lower cognitive reappraisal (p < .01) and poorer overall emotion regulation abilities (p < .01). Three months later, children with intermediate integration in the MT + LS arm had lower separation anxiety (p < .05) and harm avoidance anxiety (p < .05). No other groups showed significant improvements in emotion regulation or reducing in anxiety symptoms three months postintervention.

Discussion
Mindfulness and LS training may benefit Chinese migrant children who have higher levels of social integration but increase anxiety in those with lower social integration. Future research should consider the sociocultural context in which a treatment is implemented.

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.

Childhood is a crucial period of psychological and social development, rendering individuals susceptible to developing mental health issues. Unfortunately, many countries around the world, including China, are facing a shortage of child psychiatrists, which is a significant concern. This Comment was conducted to clarify the current number of child psychiatrists in mainland China, to analyze the reasons for the shortages and to provide constructive suggestions for solving the current shortage.

Purpose
Literature has shown that the intergenerational transmission of cognitive abilities is stronger for children raised in more advantaged environments. However, there has never been an empirical investigation of this pattern in China. This study examines differences in the intergenerational transmission of cognitive capabilities among mothers and young children in urban and rural subpopulations in China and investigates whether these differences are driven by differences in parental investment in the home environment.

Design/methodology/approach
Data collected from randomly selected 6- to 36-month-old babies and their mothers in a Northwestern province in China was used. Child capabilities were assessed by the Bayley Scales of Infant and Toddler Development (3rd edition). Maternal intelligence quotient (IQ) scores were assessed with the Raven’s Progressive Matrices test. The non-parametric regression methods were used to construct the factor scores of child capabilities. The ordinary least squares (OLS) models were employed to investigate the relations between child cognition, maternal IQ and parental investment.

Findings
In urban households, where most children are raised in a positive home environment, child cognitive scores are strongly correlated with maternal IQ. In rural households, where parental investments are lower and more variable, child cognitive scores are not significantly correlated with maternal IQ but are predicted by differences in parental investments in a cognitively stimulating home environment.

Originality/value
This study provides a unique contribution by utilizing rural–urban disparities in China as a unique natural experiment to investigate differences in the transmission of cognitive capabilities across socioeconomic status (SES). It also provides the first empirical evidence of SES differences in the intergenerational transmission of cognitive capabilities in a developing country. This study reveals that intergenerational mother–child cognition associations are disrupted by poor parental investment in rural households but not in urban households.