The Development of Relational Reasoning: An Eyetracking Analysis of Strategy Use and Adaptation in Children and Adults Performing Matrix Completion.

Relational reasoning is a key component of fluid intelligence and an important predictor of academic achievement. Relational reasoning is commonly assessed using matrix completion tasks, in which participants see an incomplete matrix of items that vary on different dimensions and select a response that best completes the matrix based on the relations among items. Performance on such assessments increases dramatically across childhood into adulthood. However, despite widespread use, little is known about the strategies associated with good or poor matrix completion performance in childhood. This study examined the strategies children and adults use to solve matrix completion problems, how those strategies change with age, and whether children and adults adapt strategies to difficulty. We used eyetracking to infer matrix completion strategy use in 6- and 9-year-old children and adults. Across ages, scanning across matrix rows and columns predicted good overall performance, and quicker and higher rates of consulting potential answers predicted poor performance, indicating that optimal matrix completion strategies are similar across development. Indices of good strategy use increased across childhood. As problems increased in difficulty, children and adults increased their scanning of matrix rows and columns, and adults and 9-year-olds also shifted strategies to rely more on consulting potential answers. Adapting strategies to matrix difficulty, particularly increased scanning of rows and columns, was associated with good overall performance in both children and adults. These findings underscore the importance of both spontaneous and adaptive strategy use in individual differences in relational reasoning and its development.

Why doesn't executive function training improve academic achievement? Rethinking individual differences, relevance, and engagement from a contextual framework.

Performance on lab assessments of executive functions predicts academic achievement and other positive life outcomes. A primary goal of research on executive functions has been to design interventions that improve outcomes like academic achievement by improving executive functions. These interventions typically involve extensive practice on abstract lab-based tasks and lead to improvements on these practiced tasks. However, interventions rarely improve performance on non-practiced tasks and rarely benefit outcomes like academic achievement. Contemporary frameworks of executive function development suggest that executive functions develop and are engaged within personal, social, historical, and cultural contexts. Abstract lab-based tasks do not well-capture the real-world contexts that require executive functions and should not be expected to provide generalized benefits outside of the lab. We propose a perspective for understanding individual differences in performance on executive function assessments that focuses on contextual influences on executive functions. We extend this contextual approach to training executive function engagement, rather than training executive functions directly. First, interventions should incorporate task content that is contextually relevant to the targeted outcome. Second, interventions should encourage engaging executive functions through reinforcement and contextual relevance, which may better translate to real-world outcomes than training executive functions directly. While such individualized executive functions interventions do not address systemic factors that greatly impact outcomes like academic achievement, given the extensive resources devoted to improving executive functions, we hypothesize that interventions designed to encourage children's engagement of executive functions hold more promise for impacting real-world outcomes than interventions designed to improve executive function capacities.

Changes in adaptation to time horizons across development.

When making decisions, the amount of time remaining matters. When time horizons are long, exploring unknown options can inform later decisions, but when time horizons are short, exploiting known options should be prioritized. While adults and adolescents adapt their exploration in this way, it is unclear when such adaptation emerges and how individuals behave when time horizons are ambiguous, as in many real-life situations. We examined these questions by having 5- to 6-year-olds (N = 43), 11- to 12-year-olds (N = 40), and adult college students (N = 49) in the United States complete a Simplified Horizons Task under short, long, and ambiguous time horizons. Adaptation to time horizons increased with age: older children and adults explored more when horizons were long than when short, and while some younger children adapted to time horizons, younger children overall did not show strong evidence of adapting. Under ambiguous horizons, older children and adults preferred to exploit over explore, while younger children did not show this preference. Thus, adaptation to time horizons is evident by ages 11-12 and may begin to emerge around 5-6 years, and children decrease their tendencies to explore under short and ambiguous time horizons with development. This developmental shift may lead to less learning but more adaptive decision making. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Adolescents sample more information prior to decisions than adults when effort costs increase.

Making better decisions typically requires obtaining information relevant to that decision. Adolescence is marked by increasing agency in decision-making and an accompanying increase in impulsive decisions, suggesting that one characteristic of adolescent decision-making is a tendency to make less-informed decisions. Adolescents could also be especially averse to the effort associated with acquiring relevant information to make decisions. To investigate this possibility, we recruited adolescents (Mage = 15.02 years) in upper-secondary schools and young adults (Mage = 20.53 years) attending university in the Netherlands to complete an effort-based information sampling task, in which participants could sample information until obtaining sufficient evidence to make a decision. Effort costs for sampling were systematically varied. Surprisingly, adolescents sampled more evidence than adults before making decisions when sampling effort costs were low. Further, adolescents obtained stronger evidence prior to their decisions than adults as effort costs increased, exhibiting less aversion to effort costs associated with information sampling. Exploratory computational models supported these findings. Both adolescents and adults used simple heuristics in deciding whether to sample additional information or make a final decision, and adolescents sought a higher evidence threshold before deciding compared with adults. These results suggest that adolescents may require more certainty to make decisions compared with adults and be less averse to effort costs when gathering information to aid decisions. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Deciding What to Do: Developments in Children's Spontaneous Monitoring of Cognitive Demands.

How do children decide which tasks to take on? Understanding whether and when children begin to monitor cognitive demands to guide task selection is important as children gain increasing independence from adults in deciding which tasks to attempt themselves. In this article, we review evidence suggesting a developmental transition in children's consideration of cognitive demands when making choices about tasks: Although younger children are capable of monitoring cognitive demands to guide task selection, spontaneous monitoring of cognitive demands begins to emerge around 5-7 years. We describe frameworks for understanding when and why children begin to monitor cognitive demands, and propose additional factors that likely influence children's decisions to pursue or avoid cognitively demanding tasks.

Adaptive control and the avoidance of cognitive control demands across development.

Young adults adaptively coordinate their behavior to avoid demands placed on cognitive control. We investigated how this adaptive coordination develops by having 6-7- and 11-12-year-olds and young adults complete a demand selection task, in which participants could select between two tasks that varied in cognitive control demands via differences in rule switch frequency. Adults and older children exhibited significant preference for selecting the less demanding task, as well as a metacognitive signal guiding adaptive demand avoidance behavior across a variety of behavioral and self-report assessments. In contrast, despite evidence of differential demands on cognitive control, younger children did not coordinate their task selections to avoid higher demand. Together, these findings suggest that sensitivity and adaptive responses to control demands emerge with development and are consistent with gradual development of lateral prefrontal cortex, dorsal anterior cingulate cortex, and their functional connectivity, which support effort avoidance in adults.