Advances in Child Development and Behavior最新文献

Disabled people are the largest minority group in the world. Like members of many minority groups, they face considerable prejudice and discrimination-known as ableism. Ableism reflects entrenched beliefs about what human bodies and minds should be like and a devaluation of individuals who deviate from that ideal. There is surprisingly little psychological science about ableism, and even less about its development. This chapter considers how social-cognitive biases evident in early childhood could contribute to its development. The chapter is structured around four biases: Prescriptive reasoning, promiscuous teleology, psychological essentialism, and the positivity bias. For each bias, we review foundational research about how it manifests in early childhood, speculate about its connection to ableism, and outline avenues for additional research. Understanding how social-cognitive biases contribute to the development of ableism is an important first step in efforts to equip children (and adults) with the tools to reject it.

This chapter provides the most comprehensive review of risk and resilience models for child development thus far, synthesizing these interdisciplinary frameworks for ease of use in research and practice. This review specifically focuses on process models with broader conceptualizations of risk and resilience that have effects across multiple developmental domains. Risk and resilience models alike agree that alleviating risk factors is beneficial for children's development, including risks ranging from proximal issues with households (e.g., instability) and caregivers (e.g., insecure attachment, abuse) to relatively distal influences like structural racism and socioeconomic status. Resilience models further add that children who experience risks are not inherently doomed to poorer outcomes, but can draw upon positive factors in development to combat negative effects from risk, which cannot always be avoided. Major positive factors include loving relationships, educational resources, and cultural assets. Risk and resilience are highly multidisciplinary fields that have contributed much to our understanding of human development, with ample room for continued growth. Understanding of risk and resilience processes, especially during sensitive developmental periods like early childhood, provides valuable insight for prevention and intervention research and practices. Risk and resilience models share an interest in deciphering the developmental processes that hinder and help children across domains so that kids can live their best lives, resulting in a better off society for all.

Children's own language production has a role in structuring the language of their conversation partners and influences their own development. Children's active participation in their own language development is most apparent in the rich body of work investigating language in natural environments. The advent of automated measures of vocalizations and movement have made such in situ research increasingly feasible. In this chapter, we review recent research on children's language development in context with a particular focus on research employing automated methods in preschool classrooms for children between ages 2 and 5 years. These automated methods indicate that the speech directed to preschool children from specific peers predicts the child's speech to those peers on a subsequent observation occasion. Similar patterns are seen in the influence of peer and teacher phonemic diversity on the phonemic diversity of children's speech to those partners. In both cases, children's own speech to partners was the best predictor of their language abilities, suggesting their active role in their own development. Finally, new research suggests the potential of machine learning to predict children's speech in group contexts, and to transcribe classroom speech to better understand the content of children's conversations and how they change with development.

Using a structured literature search and meta-regression procedures, this chapter reports a study that sought to determine whether the associations between coordinated attention and language are moderated by operationalizations of coordinated attention, study design, and other participant characteristics. Studies were located using database searches. This resulted in 46 reports or datasets, 464 effect sizes representing 1,482 participants. Meta-regression was used to answer research questions regarding potential moderators of the effects sizes of interest, which were Pearson's r values quantifying the association between coordinated attention and language assessments. In the final models, we observed that overall effect sizes were significantly above zero, suggesting robust effects across variables of interest. Age when coordinated attention was measured was a significant moderator, suggesting that the relations between coordinated attention and language was stronger when coordinated attention was measured at earlier ages. Interestingly, the longitudinal gap duration between coordinated attention measurement and language assessment was a significant moderator suggesting that the relation between coordinated attention and language was stronger when the longitudinal gap duration was longer. We conclude the meta-analysis by suggesting the phenomena of interest-dynamic coordinated visual attention between infant and caregiver-is robust across operationalizations and has predictive value for concurrent and future language abilities.

What is natural behavior and how does it differ from laboratory-based behavior? The "natural" in natural behavior implies the everyday, complex, ever-changing, yet predictable environment in which children grow up. "Behavior" is motor action and is foundational to psychology, as it includes all things to function in everyday environments. Is behavior demonstrated in the laboratory un-natural? Suppose behavior emerges spontaneously, in a context that is most common to the animal but an observer is there to document it using particular research tools. Is that behavior natural or natural-ish? Methods can powerfully affect conclusions about infant experiences and learning. In the lab, tasks are typically narrowly constrained where infants and children have little opportunity to display the variety of behaviors in their repertoire. Data from naturalistic observations may paint a very different picture of learning and development from those based on structured tasks, exposing striking variability in the environment and behavior and new relations between the organism and its environment. Using motor development as a model system, in this chapter we compare frameworks, methods, and findings originating in the lab and in the field, applied and adapted in different settings. Specifically, we recount our journey of pursuing the study of cultural influences on motor development in Tajikistan, and the challenges, surprises, and lessons learned.

The last 40 years have been marked by a growing appreciation of organized afterschool activities as a developmental context, with evidence that these activities are linked to academic, social, and behavioral outcomes at least in the short term. In this chapter, we focus on research that builds on these earlier advances to extend afterschool research in two areas that are critical to the future of this field. First, we feature research that examines organized activities longitudinally from kindergarten through the end of high school, enabling us to study organized activities in relation to academic, social-emotional, behavioral, and health outcomes in both the short-run and long-run, including into adulthood. We then turn to a second advance: research focused on organized activities that serve minoritized children and adolescents. These studies identify the barriers minoritized youth often face and how activities can be designed to support their positive development, including efforts to provide culturally responsive programming. Promising directions for future research are presented in a third section.

Infant behaviors-walking, vocalizing, playing, interacting with others, and so on-offer an unparalleled window into learning and development. The study of infants requires strategic choices about what to observe, where, when, and how. We argue that loosening study constraints-by allowing infants and caregivers to do whatever they choose, wherever they choose, and with whatever materials they choose-promises to reveal a deep understanding of the everyday data on which learning builds. We show that observations of infants' natural behavior yield unique insights into the nature of visual exploration, object play, posture and locomotion, proximity to caregiver, and communication. Furthermore, we show that by situating the study of behavior in ecologically-valid settings, researchers can gain purchase on the contextual regularities that frame learning. We close by underscoring the value of studies at every point on the research continuum-from cleverly controlled lab-based tasks to fully natural observations in everyday environments. Acceleration in the science of behavior rests on leveraging expertise across disciplines, theoretical positions, and methodological approaches.

Identifying the origins of moral sensitivities, and their elaboration, within infancy and early childhood is a challenging task, given inherent limitations in infants' behavior. Here, I argue for a multi-pronged, multi-method approach that involves cleaving the moral response at its joints. Specifically, I chart the emergence of infants' moral expectations, evaluations, generalization and enforcement, demonstrating that while many moral sensitivities are present in the second year of life, these sensitivities are closely aligned with, and likely driven by, infants' everyday experience. Moreover, qualitative differences exist between the moral responses that are present in infancy and those of later childhood, particularly in terms of enforcement (i.e., a lack of punishment in infancy). These findings set the stage for addressing outstanding critical questions regarding moral development, that include identifying discrete causal inputs to early moral cognition, identifying whether moral cognition is distinct from social cognition early in life, and explaining gaps that exist between moral cognition and moral behavior in development.

Our objective is to scaffold the natural behaviors that support scientific thinking and STEM learning in children through museum exhibit design and development. Here, we describe a collaborative research-to-practice initiative called "Designing Museum Exhibits to Support the Development Scientific Thinking in Informal Learning Environments: A University-Museum-Community Partnership," in which we document natural behavior in the context of children's informal learning environments and detail our plans to translate our findings into exhibit development. This initiative is part of a long-standing university (UT Austin, Center for Applied Cognitive Science), museum (Thinkery-Austin Children's Museum), and community (Austin's Early Learner Community) partnership called Thinkery Connect. Our first aim here is to review best practices in STEM exhibit design that fosters scientific thinking. We will then describe the design of a study on exhibit signage to promote scientific thinking development. We will also discuss our plans to develop and evaluate exhibit signage in context. Our long-term objective is to deepen engagement in activities that build scientific thinking for visitors at children's museums like Thinkery, at home, and in the community.