This special issue consists of 20 articles that focus on issues related to Eisenberg and colleagues' (Eisenberg, Cumberland, & Spinrad, 1998; Eisenberg, Spinrad, & Cumberland, 1998) model of emotion socialization processes and its relevance for understanding a range of aspects of children's socioemotional functioning. The various papers…

Social and emotional (SE) skills are known to be linked with many important life outcomes, including academic performance, performance on standardized college entrance exams, and college enrollment. In this technical brief, the authors evaluated whether the five SE skills measured with the Mosaic™ by ACT® predict postsecondary enrollment and…

We propose a simple computational model that describes potential mechanisms underlying the organization and development of the lexical-semantic system in 18-month-old infants. We focus on two independent aspects: (i) on potential mechanisms underlying the development of taxonomic and associative priming, and (ii) on potential mechanisms underlying…

In this article, we integrate two constructionist approaches--the theory of constructed emotion and rational constructivism--to introduce several novel hypotheses for understanding emotional development. We first discuss the hypothesis that emotion categories are abstract and conceptual, whose instances share a goal-based function in a particular…

Early attachment has been commonly hypothesized to predict children's future developmental outcomes, and robust evidence relying on assessments of single caregiver-child attachment patterns has corroborated this hypothesis. Nevertheless, most often children are raised by multiple caregivers, and they tend to form attachment bonds with more than…

In the present work, we explore the development of processing of emotional facial configurations under a predictive processing (or predictive coding) framework. Predictive processing provides a new approach to brain function that has been used to explain a wide range of processes, from perception to socioemotional processing. The explanatory power…

Purpose: We sought to critically analyze and evaluate published evidence regarding feasibility and clinical potential for predicting neurodevelopmental outcomes of the frequency-following responses (FFRs) to speech recordings in neonates (birth to 28 days). Method: A systematic search of MeSH terms in the Cumulative Index to Nursing and Allied…

Neural network models have recently made striking progress in natural language processing, but they are typically trained on orders of magnitude more language input than children receive. What can these neural networks, which are primarily distributional learners, learn from a naturalistic subset of a single child's experience? We examine this…

Developmental researchers often have research questions about cross-lag effects--the effect of one variable predicting a second variable at a subsequent time point. The cross-lag panel model (CLPM) is often fit to longitudinal panel data to examine cross-lag effects; however, its utility has recently been called into question because of its…

This article proposes a novel account for the overuse of free morphemes and underuse of bound morphemes in English as a second language (L2) based on the framework of Distributed Morphology. It will be argued that an Economy Principle 'Do everything in Narrow Syntax (DENS)' operates in the L2 learner's computational system. Consequently,…

Greater financial literacy is critically needed among young adults in the United States, but many financial literacy education courses have been less effective than hoped for by educators and researchers. Additionally, many have not been designed around established curricula or learning science principles, rendering findings difficult for…

Though the future cannot be accurately predicted, it is possible to envisage a number of probable developments which can promote thinking about the future and so promote a more informed stance about what should or should not be done. Studies in technology and society have claimed that the use of a type of forecasting using plausible but imaginary…

Measurement of the building blocks of everyday thought must capture the range of different ways that humans may train, develop, and use their cognitive resources in real world tasks. Executive Function as a construct has been enthusiastically adopted by cognitive and education sciences due to its theorized role as an underpinning of, and…

This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…

This study aimed to test a 5-wave sequential mediation model linking maternal mind-mindedness during infancy to children's school readiness in kindergarten through a serial mediation involving child language and effortful control in toddlerhood and the preschool years. Among a sample of 204 mother-child dyads, we assessed maternal mind-mindedness…