Negative relationships between mathematics anxiety and achievement appear in many countries globally (Lee, 2009; OECD, 2013), suggesting that mathematics anxiety could be an underconsidered factor in regions with persistently low mathematics achievement. We draw on a national sample of students and their teachers in Belize to examine relations between mathematics anxiety and achievement. The data replicated the negative relationships between students' math anxiety and achievement observed in many higher achieving, higher resourced regions, and importantly also revealed that teachers' mathematics anxiety predicted their students' mathematics attitudes and sometimes achievement. The effects were small overall so the robustness of this relationship is not clear, but they provide novel data toward building a comprehensive theory of mathematics anxiety's relationship to achievement across cultural, gender and age contexts, and offer insight into how addressing mathematics anxiety might improve mathematics teaching and achievement in low resourced countries. Mathematical proficiency is a global area of concern, and improving the efficacy of mathematics education is viewed by many as a key to increasing nations' successful participation in the global economy. In light of the growing
Intense interests are common in children with and without autism spectrum disorder (ASD), and little research has characterized aspects of interests that are unique to or shared among children with and without ASD. We aimed to characterize interests in a sample of infants at high‐familial‐risk (HR) and low‐familial‐risk (LR) for ASD using a novel interview. Participants included HR siblings who were diagnosed with ASD at 24 months (HR‐ASD, n = 56), HR siblings who did not receive an ASD diagnosis at 24 months (HR‐Neg, n = 187), and a LR comparison group (n = 109). We developed and collected data with the Intense Interests Inventory at 18‐ and 24‐months of age, a semi‐structured interview that measures intensity and peculiarity of interests in toddlers and preschool‐aged children. Intensity of interests differed by familial risk at 24 months, with HR‐ASD and HR‐Neg groups demonstrating equivalent intensity of interests that were higher than the LR group. By contrast, peculiarity of interest differed by ASD diagnosis, with the HR‐ASD group showing more peculiar interests than the HR‐Neg and LR groups at 24 months. At 18 months the HR‐ASD group had more peculiar interests than the LR group, though no differences emerged in intensity of interests. This measure may be useful in identifying clinically‐relevant features of interests in young children with ASD. We also replicated previous findings of males showing more intense interests at 18 months in our non‐ASD sample. These results reveal new information about the nature of interests and preoccupations in the early autism phenotype. Lay summary Intense interests are common in young children with autism and their family members. Intense interests are also prevalent among typically‐developing children, and especially boys. Here we catalog interests and features of these interests in a large sample of toddlers enriched for autism risk. Children who had family members with autism had more intense interests, and those who developed autism themselves had more unusual interests at 24 months. These results highlight the importance of different aspects of interest in autism.
Background: To advance early identification efforts, we must detect and characterize neurodevelopmental sequelae of risk among population-based samples early in development. However, variability across the typical-to-atypical continuum and heterogeneity within and across early emerging psychiatric/neurodevelopmental disorders represent fundamental challenges to overcome. Identifying multidimensionally determined profiles of risk, agnostic to DSM categories, via data-driven computational approaches represents an avenue to improve early identification of risk. Methods: Factor mixture modeling (FMM) was used to identify subgroups and characterize phenotypic risk profiles, derived from multiple parent-report measures of typical and atypical behaviors common to autism spectrum disorder, in a community-based sample of 17-to 25-month-old toddlers (n = 1,570). To examine the utility of risk profile classification, a subsample of toddlers (n = 107) was assessed on a distal, independent outcome examining internalizing, externalizing, and dysregulation at approximately 30 months. Results: FMM results identified five asymmetrically sized subgroups. The putative high-and moderate-risk groups comprised 6% of the sample. Followup analyses corroborated the utility of the risk profile classification; the high-, moderate-, and low-risk groups were differentially stratified (i.e., HR > moderate-risk > LR) on outcome measures and comparison of high-and low-risk groups revealed large effect sizes for internalizing (d = 0.83), externalizing (d = 1.39), and dysregulation (d = 1.19). Conclusions: This data-driven approach yielded five subgroups of toddlers, the utility of which was corroborated by later outcomes. Data-driven approaches, leveraging multiple developmentally appropriate dimensional RDoC constructs, hold promise for future efforts aimed toward early identification of at-risk-phenotypes for a variety of early emerging neurodevelopmental disorders.
The use of higher-order thinking talk (HOTT), where speakers identify relations between representations (e.g., comparison, causality, abstraction) is examined in the spontaneous language produced by 64 typically developing (TD) and 46 brain-injured children, observed from 14-58 months at home. HOTT is less frequent in lower-income children and children with brain injuries, but effects differed depending on HOTT complexity and type of brain injury. Controlling for income, children with larger and later-occurring cerebrovascular infarcts produce fewer surface (where relations are more perceptual) and structure (where relations are more abstract) HOTT utterances than TD children. In contrast, children with smaller and earlier occurring periventricular lesions produce HOTT at comparable rates to TD children. This suggests that examining HOTT development may be an important tool for understanding the impacts of brain injury in children. Theoretically, these data reveal that both neurological (size and timing of brain injury) and environmental (family income) factors contribute to these skills.
Las relaciones negativas entre la ansiedad matemática y el rendimiento matemático aparecen en muchos países a nivel mundial (OCDE, 2013; Lee, 2009), lo que sugiere que la ansiedad matemática podría ser un factor subestimado en regiones con un rendimiento matemático persistentemente bajo. Nos basamos en una muestra nacional de estudiantes y sus docentes en Belice para analizar las relaciones entre la ansiedad matemática y el rendimiento matemático. Los datos replican la relación negativa entre estas variables observada en muchas regiones con mejor rendimiento y mayores recursos y, lo que es más importante, también revelan que la ansiedad matemática de los docentes predice las actitudes de sus estudiantes hacia las matemáticas, y algunas veces su rendimiento académico en matemáticas. En términos generales, los efectos no fueron cuantitativamente importantes, por lo cual la robustez de esta relación no es clara, pero aportan resultados novedosos para construir una teoría integral de la relación entre la ansiedad y el rendimiento académico en matemáticas en diferentes contextos culturales, etarios y de género, y brindan información sobre cómo podría mejorar la enseñanza y el rendimiento académico en matemáticas en países de bajos recursos a través del abordaje de la ansiedad matemática.
We investigated whether worked examples could be used to reduce cognitive load on mathematics learners who may have reduced available cognitive resources due to experiencing anxiety or excess stress. Across 2 days, 280 fifth-grade students learned from a difficult lesson on ratio, half of whom reviewed worked examples at key problem-solving opportunities during instruction. We also measured two sources of students' worry during learning: math anxiety and worries about learning during the pandemic. We explored the attentional and affective effects of worked examples and worries in addition to their effects on learning. Results suggest that math anxiety, but not pandemic learning worries, negatively predicted procedural and conceptual learning from the lesson. In line with previous research and cognitive load theory, math anxiety also predicted greater mind wandering during testing and lower situational interest during learning. Critically, reviewing worked examples during learning mitigated these effects on learning and engagement. Pandemic-related learning worries were unrelated to learning outcomes but did predict affective and motivational outcomes. Educational implications are discussed. Educational Impact and Implications StatementMath lessons that compare different solution strategies are effective but demanding, especially for anxious students who have thoughts and worries that compete for their attention. Reviewing worked examples-which are fully-worked out examples of problem solutions-can promote learning by drawing students' attention directly to the key parts of the compared strategies. In our study, we show that having students review worked examples during a ratio lesson that compared two strategies greatly reduced the negative impacts of math anxiety on their learning and attention.
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