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The ability to monitor and adjust our performance is crucial for adaptive behaviour, a key component of human cognitive control. One widely studied metric of this behaviour is post-error slowing (PES), the finding that humans tend to slow down their performance after making an error. This study is a first attempt at generalizing the effect of PES to an online adaptive learning environment where children practise mathematics and language skills. This population was of particular interest since the major development of error processing occurs during childhood. Eight million response patterns were collected from 150,000 users aged 5 to 13 years old for 6 months, across 23 different learning activities. PES could be observed in most learning activities and greater PES was associated with greater post-error accuracy. PES also varied as a function of several variables. At the task level, PES was greater when there was less time pressure, when errors were slower, and in learning activities focusing on mathematical rather than language skills. At the individual level, students who chose the most difficult level to practise and had higher skill ability also showed greater PES. Finally, non-linear developmental differences in error processing were found, where the PES magnitude increased from 6 to 9-years-old and decreased from 9 to 13. This study shows that PES underlies adaptive behaviour in an educational context for primary school students.

The exploration and/or manipulation of objects and materials, referred to as object-oriented play (OOP), is one of the most prominent activities children engage in during early childhood. Especially within early childhood education, it is important to be able to assess and understand OOP, its developmental trajectory, and developmental value. This can support early childhood educators to successfully guide or enrich children's OOP, so it becomes a context in which learning can take place. During the past decades, three dominant theoretical perspectives have explained and assessed certain (developmental) aspects of OOP: (1) genetic epistemology, (2) cultural historical psychology, and (3) evolutionary psychology. After reviewing the literature concerning OOP according to each theoretical perspective, this paper aims to synthesize these existing theories into a unified theoretical framework. This theoretical framework can be a starting point for future research on OOP in early childhood (education). We answer the following research questions: Q1. What are the defining labels and features of the exploration and/or manipulation of objects and materials by children in early childhood?; Q2. What is the developmental trajectory of the exploration and/or manipulation of objects and materials by children in early childhood?; Q3. What is the developmental value of the exploration and/or manipulation of objects and materials by children in early childhood?

The question of how learners' motivation influences their academic achievement and vice versa has been the subject of intensive research due to its theoretical relevance and important implications for the field of education. Here, we present our understanding of how influential theories of academic motivation have conceptualized reciprocal interactions between motivation and achievement and the kinds of evidence that support this reciprocity. While the reciprocal nature of the relationship between motivation and academic achievement has been established in the literature, further insights into several features of this relationship are still lacking. We therefore present a research agenda where we identify theoretical and methodological challenges that could inspire further understanding of the reciprocal relationship between motivation and achievement as well as inform future interventions. Specifically, the research agenda includes the recommendation that future research considers (1) multiple motivation constructs, (2) behavioral mediators, (3) a network approach, (4) alignment of intervals of measurement and the short vs. long time scales of motivation constructs, (5) designs that meet the criteria for making causal, reciprocal inferences, (6) appropriate statistical models, (7) alternatives to self-reports, (8) different ways of measuring achievement, and (9) generalizability of the reciprocal relations to various developmental, ethnic, and sociocultural groups.

In early childhood, young children frequently engage in object-oriented play. According to cultural-historical activity theory, object-oriented play provides children with opportunities to learn about the characteristics and cultural applications of objects and materials. These characteristics are referred to as rules or affordances of objects and materials. To date, what kind of rules children explore and follow, and how they do so, has not been extensively studied, even though the understanding of children's learning in object-oriented play is important for early childhood education. In the current explorative study, we analysed how six children aged between two and four years explore, follow, and impose rules during a 10-minute play activity in which they were presented with a fixed set of objects (e.g. oddly shaped blocks, boxes, abstract shaped puppets, etc.). Thematic analysis of video-observations revealed two themes: (1) children explore, follow and impose different types of rules using different strategies, increasing in complexity with age; and (2) children explore, follow or impose rules by various forms of repetition, with older children showing longer and more complex forms of repetition. In the discussion, these themes were interpreted using CHAT.

Research on the impact of guided investigation, including verbal guidance strategies, has expanded in the recent decade, and the current work contributes to this line of research in a museum context. The current in-depth study examines the impact of verbal guidance strategies on family learning at an open-ended museum exhibit, considering participants' individual characteristics. The experiments and conversations of 104 families were observed at an object motion exhibit. Results show that families, with and without guidance, investigated in a meaningful way by performing control-of-variables strategy experiments, investigating a range of variables, and formulating hypotheses and causal explanations. However, the results also show that the process of learning scientific concepts could be improved. Minimal interventions of museum educators positively affected the families' learning process by reducing the number of scientifically incorrect remarks. Interestingly, in addition to discussing the phenomenon, especially the families with highly educated parents discussed the topic of reliability of their experiments, which is an under-investigated aspect of learning through investigation. Only children's cognitive ability and not parental education was modestly, but consistently related to the families' performance.

While response time and accuracy indicate overall performance, their value in uncovering cognitive processes, underlying learning, is limited. A promising online measure, designed to track decision-making, is computer mouse tracking, where mouse attraction towards different locations may reflect the consideration of alternative response options. Using a speedy arithmetic multiple-choice game in an online adaptive learning environment, we examined whether mouse movements could reflect arithmetic difficulties when error rates are low. Results showed that mouse movements towards alternative responses in correctly answered questions mapped onto the frequency of errors made in this online learning system. This mapping was stronger for the younger children, as well as for easy arithmetic problems. On an individual level, users showed more mouse movement towards their previously made response errors than towards other alternative options. This opens the possibility of adapting feedback and instruction on an individual basis through mouse tracking.

Recently, students' interest in science has been conceptualized as a network model: the science interest network model (SINM) in which affective, behavioural and cognitive components interact together; building on science interest being a dynamic relational construct. In the current study, we combine the Australian Programme for International Student Assessment (PISA) 2006 and Longitudinal Surveys of Australian Youth 2008 data (N = 4758) to investigate relationships between the network characteristics of Year 10 students with their decision to enrol in a science course in Year 12. Specifically, we identified indicators central to the SINM and tested whether they predicted chemistry, physics and biology course enrolment. Students' intentions to pursue a science-related study or career (future intentions in science) and their enjoyment of science (science enjoyment) were the most central indicators for all three science courses. Centrality was strongly related to course enrolment (r = 0.36-0.74), lending support to the validity of network theory in the context of science interest, as central indicators may play an influential role within the network.

Previous work suggests that adolescents are still refining acoustic-phonetic cue use in clear-speech perception. This study shows adolescents' immature perception of reduced speech, in which speech sounds are naturally deleted and merged within and across words. German adults and 16-year-olds listened to either German reduced or unreduced (few or full cues) part- and full phrases (without and with context) in a phrase-intelligibility task. As expected, adolescents had lower scores when adequate perception required flexible acoustic-phonetic cue use most, i.e., when hearing reduced speech without context. Participants also listened to reduced and unreduced words and pseudowords (no context) in a lexical decision task. Here, 16-year-olds had poorer and slower responses than adults overall and particularly when hearing pseudowords. Explanations for the age effects are discussed. We conclude that experience continues to refine linguistic representations, at least until adulthood.

In this article, a science interest network model (SINM) is introduced and a first empirical test of the model is presented. The SINM models interest as a dynamic relational construct, in which different interest components, that is, affective, behavioral, and cognitive components and related motivational components mutually reinforce one another within the development of interest. The dynamical relational perspective hypothesizes that the mutual interactions between interest components underlie the development of interest. Applying the SINM to the PISA 2015 data of 2 countries, that is, the Netherlands and Colombia, we were able to not only illuminate the structure of interactions between the different variables (i.e., indicators) in the networks of different groups of adolescents but we could also make predictions about which variables are of structural importance within the interest construct and as such worthwhile to test as potential candidates for intervention. Additionally, we were able to replicate earlier findings of the literature, namely that (a) enjoyment is central within the interest network and that (b) important structural differences exist in the interest network across countries, which, for instance, point to differences in domain specificity of interest between countries. While the network approach is sensitive to structural differences in science interest across countries, the network structure is stable across subgroups within countries. Future studies are proposed to test theoretically important assumptions of a dynamical perspective on interest, such as the causal role of different interest components in the development of interest.

This study investigates how individual differences in 7- to 9-year-olds' curiosity relate to the inquiry-learning process and outcomes in environments differing in structure. The focus on curiosity as individual differences variable was motivated by the importance of curiosity in science education, and uncertainty being central to both the definition of curiosity and the inquiry-learning environment. Curiosity was assessed with the Underwater Exploration game (Jirout, J., & Klahr, D. (2012). "Children's scientific curiosity: In search of an operational definition of an elusive concept." "Developmental Review," 32, 125-160. doi:10.1016/j.dr.2012.04.002), and inquiry-based learning with the newly developed Scientific Discovery task, which focuses on the principle of designing informative experiments. Structure of the inquiry-learning environment was manipulated by explaining this principle or not. As intelligence relates to learning and possibly curiosity, it was taken into account. Results showed that children's curiosity was positively related to their knowledge acquisition, but not to their quality of exploration. For low intelligent children, environment structure positively affected their quality of exploration, but not their knowledge acquisition. There was no interaction between curiosity and environment structure. These results support the existence of two distinct inquiry-based learning processes--the designing of experiments, on the one hand, and the reflection on performed experiments, on the other--and link children's curiosity to the latter process.

The present study fills a gap in existing visitor research by focusing on the preschool age group. The study explores relationships between parent explanation, children's exploratory behavior, and their domain-specific learning in a shadow exhibition. In addition, the effect of a preceding theater show on child and parent behaviors is examined. In the study, parent-child pairs were observed while playing in a science center exhibition illustrating physical principles of shadows. Parent explanation was scored on a number of domain-general categories, such as causal explanations, evidence descriptions, and content-related directions. Preschoolers' exploratory behavior and learning were quantified by using nonverbal measures. The Exploratory Behavior Scale was used to assess children's exploration of the physical environment. Children's learning was assessed in the knowledge domain of shadow size. Results showed a positive relationship between one type of parent explanation, evidence descriptions, and preschoolers' exploratory behavior. No positive relationships between children's exploration and their domain-specific learning or between parent explanation and children's domain-specific learning were found. Last, theater attendance was found to affect children's learning on shadow size.

Behavioral, psychophysiological, and neuropsychological studies have revealed large developmental differences in various learning paradigms where learning from positive and negative feedback is essential. The differences are possibly due to the use of distinct strategies that may be related to spatial working memory and attentional control. In this study, strategies in performing a discrimination learning task were distinguished in a cross-sectional sample of 302 children from 4 to 14 years of age. The trial-by-trial accuracy data were analyzed with mathematical learning models. The best-fitting model revealed three learning strategies: hypothesis testing, slow abrupt learning, and nonlearning. The proportion of hypothesis-testing children increased with age. Nonlearners were present only in the youngest age group. Feature preferences for the irrelevant dimension had a detrimental effect on performance in the youngest age group. The executive functions spatial working memory and attentional control significantly predicted posterior learning strategy probabilities after controlling for age. (Contains 3 figures and 3 tables.)

In this paper, we introduce the Exploratory Behavior Scale (EBS), a quantitative measure of young children's interactivity. More specifically, the EBS is developed from the psychological literature on exploration and play and measures the extent to which preschoolers explore their physical environment. A practical application of the EBS in a science museum is given. The described study was directed at optimizing parent guidance to improve preschoolers' exploration of exhibits in science center NEMO. In Experiment 1, we investigated which adult coaching style resulted in the highest level of exploratory behavior at two exhibits. In Experiment 2, we investigated whether informing parents about an effective way of coaching influenced preschoolers' exploratory behavior at two exhibits. The results of the study demonstrate the added value of the EBS in visitor behavior research: compared to existing global measures of visitor interactivity; the EBS adds information about the quality of the hands-on behavior. Compared to existing detailed measures of visitor interactivity, the EBS has the advantage of being applicable in different museum settings and enabling comparisons between exhibits or exhibitions. In addition, the EBS allows for quantification of unanticipated behavior. (Contains 5 figures, 1 table, and 7 footnotes.)

We present a review of empirical evidence that suggests that a substantial portion of phenotypic variance is due to nonlinear (epigenetic) processes during ontogenesis. The role of such processes as a source of phenotypic variance in human behaviour genetic studies is not fully appreciated. In addition to our review, we present simulation studies of nonlinear epigenetic variance using a computational model of neuronal network development. In each simulation study, time series for monozygotic and dizygotic twins were generated and analysed using conventional behaviour genetic modelling. In the results of these analyses, the nonlinear epigenetic variance was subsumed under the non-shared environmental component. As is commonly found in behaviour genetic studies, observed heritabilities and unique environmentabilities increased with time, whereas common environmentabilities decreased. The fact that the phenotypic effects of nonlinear epigenetic processes appear as unsystematic variance in conventional twin analyses complicates the identification and quantification of the ultimate genetic and environmental causes of individual differences. We believe that nonlinear dynamical system theories provide a challenging perspective on the development of individual differences, which may enrich behaviour genetic studies.

Rule use in perceptual classification was investigated in adults and in 4- to 12-year-old children. Two studies of performance on triad classification tasks with large samples (N=226 and N=328) are presented to (a) contrast theoretical predictions from the holistic-to-analytic-shift theory (Smith & Kemler, 1977) and the differential-sensitivity account (Cook & Odom, 1992), and (b) to contrast findings with Thompson's (1994) rule analysis technique with latent class analysis (LCA). The findings, which demonstrate the value of LCA in this context, support the differential-sensitivity account, but not the holistic-to-analytic-shift theory. All resulting latent class models included two one-dimensional classification rules, but no holistic and no identity rules. In addition, a small, but significant number of children and adults failed to show systematic rule use, even with increased salience of dimensional differences. Furthermore, developmental effects were found primarily with respect to the type of dimensions, to which the children attended. As children develop from 4 to 12 years, the dominant dimension is first brightness, then size, and finally, towards the age of 12, orientation.

Neural networks are applied to a theoretical subject in developmental psychology: modeling developmental transitions. Two issues that are involved will be discussed: discontinuities and acquiring qualitatively new knowledge. We will argue that by the appearance of a bifurcation, a neural network can show discontinuities and may acquire qualitatively new knowledge. First, it is shown that biological principles of neurite outgrowth result in self-organization in a neural network, which is strongly dependent on a bifurcation in the activity dynamics. Second, the effect of a bifurcation due to morphological change is investigated in an Adaptive Resonance Theory (ART) network. Exact ART networks with quantitative differences in network structure at the category level show qualitatively different dynamical regimes, which are separated by bifurcations. These qualitative differences in dynamics affect the cognitive function of Exact ART: Representations of learned categories are local or distributed.