Playing hide and seek: Contextual regularity learning develops between 3 and 5 years of age.

The ability to acquire contextual regularities is fundamental in everyday life because it helps us to navigate the environment, directing our attention where relevant events are more likely to occur. Sensitivity to spatial regularities has been largely reported from infancy. Nevertheless, it is currently unclear when children can use this rapidly acquired contextual knowledge to guide their behavior. Evidence of this ability is indeed mixed in school-aged children and, to date, it has never been explored in younger children and toddlers. The current study investigated the development of contextual regularity learning in children aged 3 to 5 years. To this aim, we designed a new contextual learning paradigm in which young children were presented with recurring configurations of bushes and were asked to guess behind which bush a cartoon monkey was hiding. In a series of two experiments, we manipulated the relevance of color and visuospatial cues for the underlying task goal and tested how this affected young children's behavior. Our results bridge the gap between the infant and adult literatures, showing that sensitivity to spatial configurations persists from infancy to childhood, but it is only around the fifth year of life that children naturally start to integrate multiple cues to guide their behavior.

Children's Effortful Control Skills, but Not Their Prosocial Skills, Relate to Their Reactions to Classroom Noise.

Environmental noise is one of the main sources of pollution in today's modern world. Health effects associated with noise depend on both environmental exposure and individuals' noise sensitivity. However, still little is known as to why some children are more noise sensitive than others. Studies to date have focused on adult populations and have not considered both cognitive and personality factors when explaining noise sensitivity. The current research investigates individual differences in noise sensitivity among elementary school children, with the aim of shedding light on its underlying mechanisms. Study 1 (n = 112) validated a novel questionnaire assessing children's reactions to classroom noise against two measures of noise sensitivity that are commonly used in adult populations. Study 2 (n = 237) investigated how children's reactions to classroom noise covaried with their effortful control and prosocial skills, both measured through a teacher report. Prosocial skills were not related to children's reactions to noise. However, children with lower effortful control skills reported more negative reactions to classroom noise. Given the importance of effortful control skills to succeed at school, children at risk of school difficulty might also be the ones who are particularly vulnerable to noise.

Post-error slowing: Large scale study in an online learning environment for practising mathematics and language.

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 Negative Impact of Noise on Adolescents' Executive Function: An Online Study in the Context of Home-Learning During a Pandemic.

UNICEF estimates that 1.6 billion children across the world have had their education impacted by COVID-19 and have attempted to continue their learning at home. With ample evidence showing a negative impact of noise on academic achievement within schools, the current pre-registered study set out to determine what aspects of the home environment might be affecting these students. Adolescents aged 11-18 took part online, with 129 adolescents included after passing a headphone screening task. They filled out a sociodemographic questionnaire, followed by a home environment and noise questionnaire. Participants then completed three executive function tasks (the Flanker, the Backward Digit Span, and the Wisconsin Card Sorting Test) while listening to a soundtrack of either white noise or home-like environmental noise. For purposes of analysis, based on the noise questionnaire, participants were separated into quieter and noisier homes. Results revealed that measures of the home environment significantly correlated with individual perceptions of noise and task performance. In particular, adolescents coming from noisier homes were more likely to report that they studied in a noisy room and that they were annoyed by noise when studying. In terms of noise and task performance, the Flanker task revealed that while older adolescents were more efficient overall than their younger peers, those older adolescents from noisier homes seemed to lose this advantage. Additionally, reaction times for younger adolescents from noisier homes were less impacted by accuracy compared to their peers from quieter homes, though there was no difference for the older adolescents. This evidence suggests that higher in-home noise levels lead to higher rates of annoyance and may be hindering home-learning, with both younger and older adolescents being impacted. Furthermore, the long-term effect of in-home noise on adolescent executive function task performance indicates that these findings transcend the pandemic and would influence in-school learning. Limitations and advantages of online adolescent research without researcher supervision are discussed, including sociodemographics and adapting tasks.

Reading ability in children relates to rhythm perception across modalities.

The onset of reading ability is rife with individual differences, with some children termed "early readers" and some falling behind from the very beginning. Reading skill in children has been linked to an ability to remember nonverbal rhythms, specifically in the auditory modality. It has been hypothesized that the link between rhythm skills and reading reflects a shared reliance on the ability to extract temporal structure from sound. Here we tested this hypothesis by investigating whether the link between rhythm memory and reading depends on the modality in which rhythms are presented. We tested 75 primary school-aged children aged 7-11 years on a within-participants battery of reading and rhythm tasks. Participants received a reading efficiency task followed by three rhythm tasks (auditory, visual, and audiovisual). Results showed that children who performed poorly on the reading task also performed poorly on the tasks that required them to remember and repeat back nonverbal rhythms. In addition, these children showed a rhythmic deficit not just in the auditory domain but also in the visual domain. However, auditory rhythm memory explained additional variance in reading ability even after controlling for visual memory. These results suggest that reading ability and rhythm memory rely both on shared modality-general cognitive processes and on the ability to perceive the temporal structure of sound.

Gorilla in our midst: An online behavioral experiment builder.

Behavioral researchers are increasingly conducting their studies online, to gain access to large and diverse samples that would be difficult to get in a laboratory environment. However, there are technical access barriers to building experiments online, and web browsers can present problems for consistent timing-an important issue with reaction-time-sensitive measures. For example, to ensure accuracy and test-retest reliability in presentation and response recording, experimenters need a working knowledge of programming languages such as JavaScript. We review some of the previous and current tools for online behavioral research, as well as how well they address the issues of usability and timing. We then present the Gorilla Experiment Builder (gorilla.sc), a fully tooled experiment authoring and deployment platform, designed to resolve many timing issues and make reliable online experimentation open and accessible to a wider range of technical abilities. To demonstrate the platform's aptitude for accessible, reliable, and scalable research, we administered a task with a range of participant groups (primary school children and adults), settings (without supervision, at home, and under supervision, in both schools and public engagement events), equipment (participant's own computer, computer supplied by the researcher), and connection types (personal internet connection, mobile phone 3G/4G). We used a simplified flanker task taken from the attentional network task (Rueda, Posner, & Rothbart, 2004). We replicated the "conflict network" effect in all these populations, demonstrating the platform's capability to run reaction-time-sensitive experiments. Unresolved limitations of running experiments online are then discussed, along with potential solutions and some future features of the platform.

Should online math learning environments be tailored to individuals' cognitive profiles?

Online learning environments are well-suited for tailoring the learning experience of children individually and on a large scale. An environment such as Math Garden allows children to practice exercises adapted to their specific mathematical ability; this is thought to maximize their mathematical skills. In the current experiment, we investigated whether learning environments should also consider the differential impact of cognitive load on children's math performance depending on their individual verbal working memory (WM) and inhibitory control (IC) capacity. A total of 39 children (8-11 years old) performed a multiple-choice computerized arithmetic game. Participants were randomly assigned to two conditions where the visibility of time pressure, a key feature in most gamified learning environments, was manipulated. Results showed that verbal WM was positively associated with arithmetic performance in general but that higher IC predicted better performance only when the time pressure was not visible. This effect was mostly driven by the younger children. Exploratory analyses of eye-tracking data (N = 36) showed that when time pressure was visible, children attended more often to the question (e.g., 6 × 8). In addition, when time pressure was visible, children with lower IC, in particular younger children, attended more often to answer options representing operant confusion (e.g., 9 × 4 = 13) and visited more answer options before responding. These findings suggest that tailoring the visibility of time pressure, based on a child's individual cognitive profile, could improve arithmetic performance and may in turn improve learning in online learning environments.

Do cues from multiple modalities support quicker learning in primary schoolchildren?

The current study investigates whether informative, mutually redundant audiovisual cues support better performance in a category learning paradigm. Research suggests that, under some conditions, redundant multisensory cues supports better learning, when compared with unisensory cues. This was examined systematically across two experiments. In Experiment 1, children aged 5, 7, and 10 years were allocated to 1 of the 3 "modality" conditions (audio informative only, visual informative only, and audiovisual informative) and explicitly instructed to learn the category membership of individual exemplars, as determined by a threshold of correct responses. Unisensory or redundant multisensory cues determined category membership, depending on the learning condition. In addition to significant main effects of age group and condition, a significant interaction between age and sensory condition was found, with 5-year-olds performing better when presented with redundant multisensory cues compared to unisensory cues. Ten-year-olds performed better with auditory informative only cues, compared to visual informative only cues, or informative but redundant multisensory cues, with no significant difference between the latter two. In Experiment 2, the multisensory condition was presented to separate groups of 5-, 7-, and 10-year-olds, examining explicit learning outcomes in the audiovisual informative condition. Results showed that children who reached threshold during training were faster, made fewer errors, and performed better during test trials. Learning appeared to be based on the visual informative cues. Findings are discussed in the context of age-related selective attention, suggesting that the value of providing multisensory informative cues to support real-world learning depends on age and instructional context. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Is Classroom Noise Always Bad for Children? The Contribution of Age and Selective Attention to Creative Performance in Noise.

Creativity is considered an important skill in learning but little is known about the environmental factors affecting it in classroom settings. Extending adult findings, this study assessed whether moderate multi-talker noise promotes children's creativity, and whether this is modulated by children's age, working memory, and selective attention. Forty-four elementary school children between 5 and 11 years of age, divided into younger and older age groups, participated in this within-subjects' study. The children completed two idea generation tasks; each participant performed the task both in silence and in moderate (64 dB) classroom noise. Selective attention skills, verbal and visuospatial working memory were assessed with behavioral tasks. Results showed that there were no conditions in which classroom noise promoted children's creativity whilst some negative effects of noise were observed. Younger children (between 5 and 8 years of age) with low selective attention skills were especially at risk: they gave fewer ideas in the presence of noise, and these ideas were rated as less original. Children with good selective attention skills were globally protected against the effects of noise, performing, similarly, in silence and noise. Future studies about children's specific creative strategies might help shed light on the mechanisms underlying these effects.

The emergence of object-based visual attention in infancy: A role for family socioeconomic status and competing visual features.

The development of spatial visual attention has been extensively studied in infants, but far less is known about the emergence of object-based visual attention. We tested 3-5- and 9-12-month-old infants on a task that allowed us to measure infants' attention orienting bias toward whole objects when they competed with color, motion, and orientation feature information. Infants' attention orienting to whole objects was affected by the dimension of the competing visual feature. Whether attention was biased toward the whole object or its salient competing feature (e.g., "ball" or "red") changed with age for the color feature, with infants biased toward whole objects with age. Moreover, family socioeconomic status predicted feature-based attention in the youngest infants and object-based attention in the older infants when color feature information competed with whole-object information.

Withstanding the test of time: Multisensory cues improve the delayed retention of incidental learning.

Multisensory tools are commonly employed within educational settings (e.g. Carter & Stephenson, ), and there is a growing body of literature advocating the benefits of presenting children with multisensory information over unisensory cues for learning (Baker & Jordan, ; Jordan & Baker, ). This is even the case when the informative cues are only arbitrarily related (Broadbent, White, Mareschal, & Kirkham, ). However, the delayed retention of learning following exposure to multisensory compared to unisensory cues has not been evaluated, and has important implications for the utility of multisensory educational tools. This study examined the retention of incidental categorical learning in 5-, 7- and 9-year-olds (N = 181) using either unisensory or multisensory cues. Results found significantly greater retention of learning following multisensory cue exposure than with unisensory information when category knowledge was tested following a 24-hour period of delay. No age-related changes were found, suggesting that multisensory information can facilitate the retention of learning across this age range.

Information processes of task-switching and modality-shifting across development.

Developmental research on flexible attentional control in young children has often focused on the role of attention in task-switching in a unimodal context. In real life, children must master the art of switching attention not only between task demands, but also between sensory modalities. Previous study has shown that young children can be efficient at switching between unimodal tasks when the situation allows, incurring no greater task-switching costs than adults. However, young children may still experience a greater demand to shift attention between modalities than older participants. To address this, we tested 4-year-olds, 6-year-olds and adults on a novel cross-modal task-switching paradigm involving multisensory detection tasks. While we found age differences in absolute reaction time and accuracy, young children and adults both exhibited strikingly similar effects in task-switching, modality-shifting, and the interaction between them. Young children did not exhibit a greater attentional bottleneck on either the task level, or on the modality level; thus, the evidence suggests that young children engaged in similar cognitive operations in the current cross-modal tasks to adult participants. It appears that cognitive operations in multisensory task configuration are relatively mature between 4 and 6 years old.

Task switching costs in preschool children and adults.

Past research investigating cognitive flexibility has shown that preschool children make many perseverative errors in tasks that require switching between different sets of rules. However, this inflexibility might not necessarily hold with easier tasks. The current study investigated the developmental differences in cognitive flexibility using a task-switching procedure that compared reaction times and accuracy in 4- and 6-year-olds with those in adults. The experiment involved simple target detection tasks and was intentionally designed in a way that the stimulus and response conflicts were minimal together with a long preparation window. Global mixing costs (performance costs when multiple tasks are relevant in a context), and local switch costs (performance costs due to switching to an alternative task) are typically thought to engage endogenous control processes. If this is the case, we should observe developmental differences with both of these costs. Our results show, however, that when the accuracy was good, there were no age differences in cognitive flexibility (i.e., the ability to manage multiple tasks and to switch between tasks) between children and adults. Even though preschool children had slower reaction times and were less accurate, the mixing and switch costs associated with task switching were not reliably larger for preschool children. Preschool children did, however, show more commission errors and greater response repetition effects than adults, which may reflect differences in inhibitory control.

Incidental learning in a multisensory environment across childhood.

Multisensory information has been shown to modulate attention in infants and facilitate learning in adults, by enhancing the amodal properties of a stimulus. However, it remains unclear whether this translates to learning in a multisensory environment across middle childhood, and particularly in the case of incidental learning. One hundred and eighty-one children aged between 6 and 10 years participated in this study using a novel Multisensory Attention Learning Task (MALT). Participants were asked to respond to the presence of a target stimulus whilst ignoring distractors. Correct target selection resulted in the movement of the target exemplar to either the upper left or right screen quadrant, according to category membership. Category membership was defined either by visual-only, auditory-only or multisensory information. As early as 6 years of age, children demonstrated greater performance on the incidental categorization task following exposure to multisensory audiovisual cues compared to unisensory information. These findings provide important insight into the use of multisensory information in learning, and particularly on incidental category learning. Implications for the deployment of multisensory learning tasks within education across development will be discussed.

Infant Statistical Learning.

Perception involves making sense of a dynamic, multimodal environment. In the absence of mechanisms capable of exploiting the statistical patterns in the natural world, infants would face an insurmountable computational problem. Infant statistical learning mechanisms facilitate the detection of structure. These abilities allow the infant to compute across elements in their environmental input, extracting patterns for further processing and subsequent learning. In this selective review, we summarize findings that show that statistical learning is both a broad and flexible mechanism (supporting learning from different modalities across many different content areas) and input specific (shifting computations depending on the type of input and goal of learning). We suggest that statistical learning not only provides a framework for studying language development and object knowledge in constrained laboratory settings, but also allows researchers to tackle real-world problems, such as multilingualism, the role of ever-changing learning environments, and differential developmental trajectories.

Infants Rely More on Gaze Cues From Own-Race Than Other-Race Adults for Learning Under Uncertainty.

Differential experience leads infants to have perceptual processing advantages for own- over other-race faces, but whether this experience has downstream consequences is unknown. Three experiments examined whether 7-month-olds (range = 5.9-8.5 months; N = 96) use gaze from own- versus other-race adults to anticipate events. When gaze predicted an event's occurrence with 100% reliability, 7-month-olds followed both adults equally; with 25% (chance) reliability, neither was followed. However, with 50% (uncertain) reliability, infants followed own- over other-race gaze. Differential face race experience may thus affect how infants use social cues from own- versus other-race adults for learning. Such findings suggest that infants integrate online statistical reliability information with prior knowledge of own versus other race to guide social interaction and learning.

Across space and time: infants learn from backward and forward visual statistics.

This study investigates whether infants are sensitive to backward and forward transitional probabilities within temporal and spatial visual streams. Two groups of 8-month-old infants were familiarized with an artificial grammar of shapes, comprising backward and forward base pairs (i.e. two shapes linked by strong backward or forward transitional probability) and part-pairs (i.e. two shapes with weak transitional probabilities in both directions). One group viewed the continuous visual stream as a temporal sequence, while the other group viewed the same stream as a spatial array. Following familiarization, infants looked longer at test trials containing part-pairs than base pairs, although they had appeared with equal frequency during familiarization. This pattern of looking time was evident for both forward and backward pairs, in both the temporal and spatial conditions. Further, differences in looking time to part-pairs that were consistent or inconsistent with the predictive direction of the base pairs (forward or backward) indicated that infants were indeed sensitive to direction when presented with temporal sequences, but not when presented with spatial arrays. These results suggest that visual statistical learning is flexible in infancy and depends on the nature of visual input.

Electrophysiological evidence of heterogeneity in visual statistical learning in young children with ASD.

Statistical learning is characterized by detection of regularities in one's environment without an awareness or intention to learn, and it may play a critical role in language and social behavior. Accordingly, in this study we investigated the electrophysiological correlates of visual statistical learning in young children with autism spectrum disorder (ASD) using an event-related potential shape learning paradigm, and we examined the relation between visual statistical learning and cognitive function. Compared to typically developing (TD) controls, the ASD group as a whole showed reduced evidence of learning as defined by N1 (early visual discrimination) and P300 (attention to novelty) components. Upon further analysis, in the ASD group there was a positive correlation between N1 amplitude difference and non-verbal IQ, and a positive correlation between P300 amplitude difference and adaptive social function. Children with ASD and a high non-verbal IQ and high adaptive social function demonstrated a distinctive pattern of learning. This is the first study to identify electrophysiological markers of visual statistical learning in children with ASD. Through this work we have demonstrated heterogeneity in statistical learning in ASD that maps onto non-verbal cognition and adaptive social function.