Learning What to Attend to: From the Lab to the Classroom

Mind, brain and education-Neuromechanisms during child development

BACKGROUND AND AIMS

Educational neuroscience has emerged as an interdisciplinary field aimed at elucidating the neurobiological underpinnings of learning and educational outcomes. By synthesizing findings from diverse research endeavours, this Editorial aims to delineate the intricate interplay between neural processes and educational experiences, shedding light on the factors that shape cognitive development and learning trajectories in children.

RESULTS

This Editorial highlights significant advancements, spanning investigations into neural mechanisms, cognitive development and educational interventions on the basis of four exemplary topics and their effects on academic learning and achievement: student's academic self-concept, (cyber-)bullying, reading skills/dyslexia and a growth mindset intervention. Summaries of the four empirical contributions in this special issue are presented and discussed in relation to how they provide insight into the dynamic interplay between neural mechanisms and environmental influences, underscoring the role of early experiences in sculpting brain development and shaping educational outcomes. Furthermore, the integration of neuroscientific techniques (e.g., fMRI, eye-tracking) with educational research methodologies has provided novel insights into the neural correlates of learning processes, executive functions and socio-emotional development during childhood.

CONCLUSIONS

In conclusion, the pivotal role of Educational Neuroscience in bridging the gap between neuroscience and education is highlighted. By elucidating the neurobiological foundations of learning, this interdisciplinary field offers valuable insights for informing evidence-based educational practices and interventions tailored to individual learning profiles. Moving forward, continued collaboration between researchers, educators and policymakers is essential to harnessing the full potential of Educational Neuroscience in promoting cognitive growth and academic success across diverse learner populations.

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.

Are We Ready for Real-world Neuroscience?

Real-world environments are typically dynamic, complex, and multisensory in nature and require the support of top-down attention and memory mechanisms for us to be able to drive a car, make a shopping list, or pour a cup of coffee. Fundamental principles of perception and functional brain organization have been established by research utilizing well-controlled but simplified paradigms with basic stimuli. The last 30 years ushered a revolution in computational power, brain mapping, and signal processing techniques. Drawing on those theoretical and methodological advances, over the years, research has departed more and more from traditional, rigorous, and well-understood paradigms to directly investigate cognitive functions and their underlying brain mechanisms in real-world environments. These investigations typically address the role of one or, more recently, multiple attributes of real-world environments. Fundamental assumptions about perception, attention, or brain functional organization have been challenged-by studies adapting the traditional paradigms to emulate, for example, the multisensory nature or varying relevance of stimulation or dynamically changing task demands. Here, we present the state of the field within the emerging heterogeneous domain of real-world neuroscience. To be precise, the aim of this Special Focus is to bring together a variety of the emerging "real-world neuroscientific" approaches. These approaches differ in their principal aims, assumptions, or even definitions of "real-world neuroscience" research. Here, we showcase the commonalities and distinctive features of the different "real-world neuroscience" approaches. To do so, four early-career researchers and the speakers of the Cognitive Neuroscience Society 2017 Meeting symposium under the same title answer questions pertaining to the added value of such approaches in bringing us closer to accurate models of functional brain organization and cognitive functions.