Parent–child discrepancies on educational expectations have a significant impact on the holistic development of children, which is crucial for building sustainable educational ecosystems. Based on 7080 samples from the 2019 OECD Survey on Social and Emotional Skills (SSES) conducted in a Chinese city, this study uses the ordinary least squares model and propensity score matching to estimate the causal effect of parent–child discrepancies on educational expectations on children’s social and emotional skills—core competencies for Education for Sustainable Development (ESD)—and further employs the bootstrap method to test its mechanism. The results show that parent–child discrepancies on educational expectations have a significant negative impact on children’s social and emotional skills, with stronger effects observed among boys and 15-year-olds. The parent–child relationship and test anxiety play a chain mediating role in this relationship. The results suggest that to advance the goals of sustainable education, parents should set reasonable educational expectations and pay attention to nurturing their children’s social and emotional skills to foster holistic development within supportive family microsystems.

This study examined the relationship between the urban dialect ability and academic performance of migrant children, as well as the role of school integration between the two. This study collected data from 1687 migrant children aged 5–15 from 28 county-level units (counties, districts, cities) in China, sourced from the 2010 China Education Panel Survey (CEPS). The research results indicate the following: (1) the urban dialect ability of migrant children has a significant positive impact on their academic performance. (2) School identification, peer–peer engagement, and peer acceptance, as the three dimensions of school integration, play a mediating role between the urban dialect ability and academic performance of migrant children. Overall, this study provides theoretical support and policy recommendations for promoting school integration and academic performance development for migrant children.

Social robots are increasingly being integrated into school and home settings to support children’s development. However, their effectiveness in fostering children’s social and emotional learning (SEL) remains insufficiently understood. To address this gap, this study presents a meta-analysis of 66 empirical studies comprising 166 effect sizes and 3468 participants. The findings indicate that social robot interventions produce an overall small-to-moderate positive effect on children’s social and emotional competence. Moderator analyses identified robot role as the only statistically significant moderator of intervention effectiveness. None of the other examined moderator variables showed statistically significant between-group differences. Nevertheless, some descriptive patterns were observed in the estimated effects, with relatively larger effect sizes for cartoon-like and physical robots, individual interaction methods, and generative AI-enabled robots, as well as for longer interventions. Among child characteristics, relatively larger effect sizes were observed for older children, children with special development needs, and those from developed countries. However, these numerical differences should be interpreted cautiously, as they were not supported by statistically significant between-group tests. They therefore do not provide sufficient evidence that these characteristics systematically moderate intervention effectiveness, but may indicate patterns worthy of further investigation. Overall, this study synthesizes the growing evidence base on social robot interventions and provides a basis for identifying potentially relevant intervention characteristics for future research.

Social and emotional learning (SEL) has become increasingly central to educational policy and lifelong development, while advances in robotics have opened new possibilities for supporting socio-emotional competencies through human–robot interaction. Despite the rapid growth of robot-assisted SEL research, this field remains fragmented, with limited understanding of its intellectual structure, thematic foci, and evolution. To address this gap, this study conducted a scientometric analysis of 241 publications indexed in Web of Science using bibliometric methods. Results indicate a steady growth trajectory, with research concentrated in a small number of core countries driving international collaboration. Influential publications and co-citation patterns reveal a strong foundation in autism-related interventions and child-centered social skill development. Thematic mapping shows that motor themes are dominated by soft skills, autism, and interaction design, while emotion recognition and affective computing form technically mature but specialized streams. Foundational concepts such as human–robot interaction and artificial intelligence remain central yet theoretically evolving. Emerging links between robotics, STEM, and project-based learning suggest ongoing pedagogical expansion. This study maps the intellectual and thematic structure of robot-assisted SEL, showing how robots are emerging as mediational agents in hybrid learning systems while revealing uneven integration and misalignments between technological capabilities and pedagogical foundations.