Aims: The present study aims to examine: (1) the relationship between young children’s bilingualism and their performance in the Dimensional Card Change Sort (DCCS) task; and (2) whether prefrontal activation was associated with children’s bilingualism and executive function. Methodology: Children performed three sessions of the DCCS and their brain activity during the task was measured using functional nearinfrared spectroscopy (fNIRS). Data and analysis: A sample of bilingual children ( N = 49) was recruited from a preschool with an English immersion program. We examined whether children’s performance in the DCCS was related to their bilingualism and whether the changes in oxygenated hemoglobin in the prefrontal regions were related to their bilingualism and performance in the DCCS. Findings/conclusions: Results showed that children’s English ability was significantly correlated with their behavioral performance in DCCS, and predicted children’s group membership (pass or perseverate). Furthermore, children in the pass group significantly activated the prefrontal cortex than those in the perseverate group, and activation in the prefrontal region was significantly correlated with children’s English ability. Originality: The current study first examined the effect of children’s bilingualism on their executive function and prefrontal activation.

This is the preliminary study of a larger PhD study to be conducted by the first author. The authors would like to thank all the Chinese parents who participated in the study and teachers who facilitated data collection in the kindergarten in Shenzhen, China. The authors also thank Ms. Lin Xunyi for statistical assistance.

This study aims to examine the impact of heavy use of tablets on preschoolers’ executive function during the Dimensional Change Card Sort (DCCS) task using the functional near-infrared spectroscopy (fNIRS). Altogether, 38 Chinese preschoolers (Mage = 5.0 years, SD = 0.69 years, 17 girls) completed the tasks before the COVID-19 lockdown. Eight children never used tablets, while 16 children were diagnosed as the ‘heavy-user’. The results indicated that: (1) the ‘non-user’ outperformed the ‘heavy-user’ with a significantly higher correct rate in the DCCS task; (2) the two groups differed significantly in the activation of the prefrontal cortex (BA 9): the ‘non-user’ pattern is normal and healthy, whereas the ‘heavy-user’ pattern is not normal and needs further exploration.

This study aims to examine the neural correlates of cognitive shifting during the Dimensional Change Card Sort Task (DCCS) task with functional near-infrared spectroscopy. Altogether 49 children completed the DCCS tasks, and 25 children (Mage = 68.66, SD = 5.3) passing all items were classified into the Switch group. Twenty children (Mage = 62.05, SD = 8.13) committing more than one perseverative errors were grouped into the Perseverate group. The Switch group had Brodmann Area (BA) 9 and 10 activated in the pre-switch period and BA 6, 9, 10, 40, and 44 in the post-switch period. In contrast, the Perseverate group had BA 9 and 10 activated in the pre-switch period and BA 8, 9, 10 in the post-switch period. The general linear model results afford strong support to the “V-shape curve” hypothesis by identifying a significant decrease–increase cycle in BA 9 and 44, the neural correlations of cognitive shifting.

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This study examined the neural correlates of mental rota on (MR) in preschoolers using func onal near-infrared spectroscopy (fNIRS). Fortyeight preschoolers completed a MR task in which they were asked to rotate a test s mulus to match a target s mulus. Results of compara ve and General Linear Model (GLM) analyses revealed significant differences between the High Performance (HP) and Low Performance (LP) groups. The two groups differed significantly in oxyhaemoglobin (HbO) change in Brodmann Areas (BAs) 6, 9 and 44. Specifically, significant increase in HbO in BA 44 was observed in both groups, while significant decrease in deoxyhaemoglobin (HbR) in BA 9 was observed only in the HP group and in BA 44 only in the LP group. These results jointly indicated BA 44 as one of the core neural correlates of MR in preschoolers, while BA 6 and BA 9 might also be involved in MR processing under a compensatory mechanism.

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The existing literature has established the effects of emotional labor on teachers’ wellbeing indicators and teaching efficacy, leaving its impact on students’ outcomes unexplored. Following Grandey’s integrative model of emotional labor and social-emotional learning (SEL) framework, this study explored the relationship between teachers’ emotional labor, teaching efficacy, and young children’s social-emotional development and learning in early childhood settings. Thirteen preschools were recruited through stratified random sampling in Shenzhen, China. Altogether, 49 classrooms were involved, and three teachers and six children were sampled from each classroom, resulting in a sample of 124 teachers and 241 children. Teachers’ emotional labor strategy, sense of efficacy, and children’s social-emotional development and learning were surveyed. Structural equation modeling has confirmed that teachers’ natural and surface acting predicted their teaching efficacy. Bootstrapped mediation analysis revealed that the mediation paths from teachers’ emotional labor to children’s learning approaches and social-emotional development varied significantly for teachers in different positions. The study implies that different guidelines and training are needed for teachers in different positions to help them cope with varied emotional labor at work and promote their teaching efficacy for young children’s better development.