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Social adjustment is critical to educational and occupational attainment. Yet little research has considered how the school's socioeconomic context is associated with social adjustment. In a longitudinal sample of Australian 4- to 8-year-olds (N = 9369; 51% boys) we tested the association between school average socioeconomic status and social skills (parent and teacher reported). Models controlled for age 4 social adjustment and additional covariates. Results showed that children from more advantaged schools are more likely to have better prosocial behavior and fewer peer and conduct problems. An interaction between family and school average socioeconomic status (SES) suggested that this association was mainly present for children from lower SES backgrounds.

Children who are excluded from school may end up being excluded from other social institutions. Yet little research has considered whether low school belonging is a risk factor for not being in education, employment, or training after graduation. Using two longitudinal cohorts from Australia (N = 14,082; 51% Boys), we explored this relationship. Controlling for a range of individual and school-level covariates, we found that low school belonging at age 15 is a consistent and practically significant predictor of not in education, employment, or training (NEET) status at ages 16 to 20. We conclude that this relationship is unlikely to be the product of low school belonging lowering the chances of students graduating high school. Rather, low school belonging had a unique association with NEET beyond graduation. Given that NEET represents a range of vulnerabilities, educational policy and practice must find ways for schools to create opportunities for all students to feel included, valued, and accepted.

Medical education curricula have the potential to impact the gender attitudes of future healthcare providers. This study investigated whether gender-biased imagery from anatomy textbooks had an effect on the implicit and explicit gender attitudes of students. We used an online experimental design in which students (N = 456; 55% female) studying anatomy were randomly assigned to a visual priming task using either gender-neutral or gender-biased images. The impact of this priming task on implicit attitudes was assessed using the Implicit Association Test (IAT) and the impact on explicit attitudes was measured using the Gender Bias in Medical Education Scale. Viewing biased images was significantly positively associated with implicit gender bias as indicated by higher IAT scores in the treatment compared to the control condition (mean IAT difference = 43 milliseconds; Cohen's d = 0.33). In contrast, there was no significant effect of gender-biased images on explicit gender attitudes.

The internet has become the chosen medium for professional learning. Completing professional learning can improve work performance; however, many individuals who begin online courses do not complete them. It is not well understood which influences keep individuals engaged in online professional learning. We address these issues with a systematic review. Our review of 51 studies and 9,583 participants includes a narrative synthesis and a meta-analysis that examined influences on user engagement in online professional learning. We found that course design and employers' provision of time to complete learning are key for engaging learners. Other important influences were learners' reasons for learning (e.g., intrinsic value and perceived usefulness), access to learning support, and opportunities for interaction during the learning experience.

In a representative longitudinal sample of 2,602 Australian children (52% boys; 2% Indigenous; 13% language other than English background; 22% of Mothers born overseas; and 65% Urban) and their mothers (first surveyed in 2003), this article examined if maternal judgments of numeracy and reading ability varied by child demographics and influenced achievement and interest gains. We linked survey data to administrative data of national standardized tests in Year 3, 5, and 7 and found that maternal judgments followed gender stereotype patterns, favoring girls in reading and boys in numeracy. Maternal judgments were more positive for children from non-English speaking backgrounds. Maternal judgments predicted gains in children's achievement (consistently) and academic interest (generally) including during the transition to high school.