Children adapt their information search to goal and statistical structure of a problem.

To be efficient, problem solvers need to be adaptive, tailoring their information search to the specific problem at hand. Across two studies, we investigated the emergence and early development of children's ability to adapt their information search to a given goal (Studies 1 and 2) and to the statistical structure of the problem space (Study 2) to maximize effectiveness. In Study 1, 3-6-year-olds ( = 105) decided which of two cues to look up, the arms or the legs of two monsters, to predict the winner of a throwing or jumping challenge, knowing that monsters with long arms were good throwers and those with long legs were good jumpers.

Toddlers strategically adapt their information search.

Adaptive information seeking is essential for humans to effectively navigate complex and dynamic environments. Here, we developed a gaze-contingent eye-tracking paradigm to examine the early emergence of adaptive information-seeking. Toddlers (N = 60, 18-36 months) and adults (N = 42) either learnt that an animal was equally likely to be found in any of four available locations, or that it was most likely to be found in one particular location.

When is it appropriate to ask a question? The role of age, social context, and personality.

How do children decide when it is appropriate to ask a question? In Study 1 (preregistered), 50 4- and 5-year-olds, 50 7- and 8-year-olds, and 100 adults watched vignettes featuring a child who had a question, and participants indicated whether they thought the child should ask the question "right now." Both adults and children endorsed more question-asking to a well-known informant than to an acquaintance and to someone doing nothing than to someone busy working or busy socializing. However, younger children endorsed asking questions to someone who was busy more often than older children and adults.

The differential impact of active learning on children's memory.

Successful active learning has often been quantified with respect to either the efficiency of information search or the accuracy of subsequent recall. In this article, we explored the hypothesis that children's memory is influenced by the types of information search strategies they implement, which may emphasize different aspects of the task stimuli. As a consequence, younger children's well-documented search inefficiency may turn out to be advantageous and result in better memory for some aspects of the task.

The Efficiency of Question-Asking Strategies in a Real-World Visual Search Task.

In recent years, a multitude of datasets of human-human conversations has been released for the main purpose of training conversational agents based on data-hungry artificial neural networks. In this paper, we argue that datasets of this sort represent a useful and underexplored source to validate, complement, and enhance cognitive studies on human behavior and language use. We present a method that leverages the recent development of powerful computational models to obtain the fine-grained annotation required to apply metrics and techniques from Cognitive Science to large datasets.

Young children's adaptive partner choice in cooperation and competition contexts.

Choosing adequate partners is essential for cooperation, but how children calibrate their partner choice to specific social challenges is unknown. In two experiments, 4- to 7-year-olds (N = 189, 49% girls, mostly White, data collection: 03.2021-09.

Developmental changes in exploration resemble stochastic optimization.

Human development is often described as a 'cooling off' process, analogous to stochastic optimization algorithms that implement a gradual reduction in randomness over time. Yet there is ambiguity in how to interpret this analogy, due to a lack of concrete empirical comparisons. Using data from n = 281 participants ages 5 to 55, we show that cooling off does not only apply to the single dimension of randomness.

Preschoolers search longer when there is more information to be gained.

What drives children to explore and learn when external rewards are uncertain or absent? Across three studies, we tested whether information gain itself acts as an internal reward and suffices to motivate children's actions. We measured 24-56-month-olds' persistence in a game where they had to search for an object (animal or toy), which they never find, hidden behind a series of doors, manipulating the degree of uncertainty about which specific object was hidden. We found that children were more persistent in their search when there was higher uncertainty, and therefore, more information to be gained with each action, highlighting the importance of research on artificial intelligence to invest in curiosity-driven algorithms.

Children seek help based on how others learn.

Do children consider how others learned when seeking help? Across three experiments, German children (N = 536 3-to-8 year olds, 49% female, majority White, tested 2017-2019) preferred to learn from successful active learners selectively by context: They sought help solving a problem from a learner who had independently discovered the solution to a previous problem over those who had learned through instruction or observation, but only when the current problem was novel, yet related, to the learners' problem (Experiment 1). Older, but not younger, children preferred the active learner even when she was offered help (Experiment 2), though only when her discovery was deliberate (Experiment 3). Although a preference to learn from successful active learners emerges early, a genuine appreciation for process beyond outcome increases across childhood.

Smart or just lucky? Inferring question-asking competence from strategies' efficiency versus effectiveness.

Previous research shows that children evaluate the competence of others based on how effectively someone accomplished a goal, that is, based on the observed outcome of an action (e.g., number of attempts needed).

Preschoolers' information search strategies: Inefficient but adaptive.

Although children's sensitivity to others' informativeness emerges early in life, their active information search becomes robustly efficient only around age 10. Young children's difficulty in asking efficient questions has often been hypothesized to be linked to their developing verbal competence and growing vocabulary. In this paper, we offer for the first time a quantitative analysis of 4- to 6-year-old children's information search competence by using a non-verbal version of the 20-questions game, to gain a more comprehensive and fair picture of their active learning abilities.

Children's active physical learning is as effective and goal-targeted as adults'.

We explore how children and adults actively experiment within the physical world to achieve different epistemic goals. In our experiment, one hundred one 4- to 10-year-old children and 24 adults either passively observed or used a touchscreen interface to actively interact with objects in a dynamic physical microworld with the goal of inferring one of two latent physical properties: relative object masses or local forces of attraction and repulsion. We find an age improvement in judgments as well as an advantage for active over passive learning.

Children's failure to control variables may reflect adaptive decision-making.

Changing one variable at a time while controlling others is a key aspect of scientific experimentation and a central component of STEM curricula. However, children reportedly struggle to learn and implement this strategy. Why do children's intuitions about how best to intervene on a causal system conflict with scientific practices? Mathematical analyses have shown that controlling variables is not always the most efficient learning strategy, and that its effectiveness depends on the "causal sparsity" of the problem, i.

Finding the (most efficient) way out of a maze is easier than asking (good) questions.

We investigate whether a spatial representation of a search task supports 4- to 7-year-old children's information-search strategies, relative to their performance in a question-asking game. Children played two computationally and structurally analogous search games: a the maze-exploration game, in which they had to discover the path through a maze by removing masks covering its passages; and a the 20-questions game, where they had to identify a target monster from a set of eight monsters by asking yes-no questions. Across four experiments, we found that children searched more efficiently when they could make queries nonverbally (Experiments 1 and 2a).

How is the hypothesis space represented? Evidence from young children's active search and predictions in a multiple-cue inference task.

To successfully navigate an uncertain world, one has to learn the relationship between cues (e.g., wind speed, atmospheric pressure) and outcomes (e.

Developmental Trajectories in the Understanding of Everyday Uncertainty Terms.

Dealing with uncertainty and different degrees of frequency and probability is critical in many everyday activities. However, relevant information does not always come in the form of numerical estimates or direct experiences, but is instead obtained through qualitative, rather vague verbal terms (e.g.

Movement Matters! Understanding the Developmental Trajectory of Embodied Planning.

Human motor skills are exceptional compared to other species, no less than their cognitive skills. In this perspective paper, we suggest that "movement matters!," implying that motor development is a crucial driving force of cognitive development, much more impactful than previously acknowledged. Thus, we argue that to fully understand and explain developmental changes, it is necessary to consider the interaction of motor and cognitive skills.

How to Help Young Children Ask Better Questions?

In this paper, we investigate the informativeness of 4- to 6-year-old ( = 125) children's questions using a combined qualitative and quantitative approach. Children were presented with a hierarchical version of the 20-questions game, in which they were given an array of objects that could be organized into three category levels based on shared features. We then tested whether it is possible to scaffold children's question-asking abilities without extensive training.

Development of directed and random exploration in children.

Are young children just random explorers who learn serendipitously? Or are even young children guided by uncertainty-directed sampling, seeking to explore in a systematic fashion? We study how children between the ages of 4 and 9 search in an explore-exploit task with spatially correlated rewards, where exhaustive exploration is infeasible and not all options can be experienced. By combining behavioral data with a computational model that decomposes search into similarity-based generalization, uncertainty-directed exploration, and random exploration, we map out developmental trajectories of generalization and exploration. The behavioral data show strong developmental differences in children's capability to exploit environmental structure, with performance and adaptiveness of sampling decisions increasing with age.

Memory enhancements from active control of learning in children with autism spectrum disorder.

Research with adults and typically developing children has shown that being able to their learning experience, that is, to decide what to learn, when, and at what pace, can boost learning in a variety of contexts. In particular, previous research has shown a robust advantage of active control for episodic memory as compared with conditions lacking this control. In this article, we explore the potential of active control to improve learning of 6- to 12-year-old children diagnosed with autism spectrum disorder.

Searching for Rewards Like a Child Means Less Generalization and More Directed Exploration.

How do children and adults differ in their search for rewards? We considered three different hypotheses that attribute developmental differences to (a) children's increased random sampling, (b) more directed exploration toward uncertain options, or (c) narrower generalization. Using a search task in which noisy rewards were spatially correlated on a grid, we compared the ability of 55 younger children (ages 7 and 8 years), 55 older children (ages 9-11 years), and 50 adults (ages 19-55 years) to successfully generalize about unobserved outcomes and balance the exploration-exploitation dilemma. Our results show that children explore more eagerly than adults but obtain lower rewards.

Stepwise versus globally optimal search in children and adults.

How do children and adults search for information when stepwise-optimal strategies fail to identify the most efficient query? The value of questions is often measured in terms of stepwise information gain (expected reduction of entropy on the next time step) or other stepwise-optimal methods. However, such myopic models are not guaranteed to identify the most efficient sequence of questions, that is, the shortest path to the solution. In two experiments we contrast stepwise methods with globally optimal strategies and study how younger children (around age 8, N = 52), older children (around age 10, N = 99), and adults (N = 101) search in a 20-questions game where planning ahead is required to identify the most efficient first question.

Shake it baby, but only when needed: Preschoolers adapt their exploratory strategies to the information structure of the task.

Previous research has suggested that active engagement with the world drives children's remarkable learning capabilities. We investigated whether preschoolers are "ecological learners," that is, whether they are able to select those active learning strategies that are most informative in a given task. Children had to choose which of two exploratory actions (open vs.

Effects of explanation on children's question asking.

The capacity to search for information effectively by asking informative questions is crucial for self-directed learning and develops throughout the preschool years and beyond. We tested the hypothesis that explaining observations in a given domain prepares children to ask more informative questions in that domain, and that it does so by promoting the identification of features that apply to multiple objects, thus supporting more effective questions. Across two experiments, 4- to 7-year-old children (N  = 168) were prompted to explain observed evidence or to complete a control task prior to a 20-questions game.