A hop, skip and a jump towards evaluating social interaction and learning through play at a child and adolescent inpatient treatment program.

BACKGROUND: The number of inpatient mental health facilities for children and adolescents in the United States is growing rapidly. While undergoing inpatient treatment, children and adolescents can benefit from innovative play opportunities designed to foster social interaction and learning. METHODS: The Playful Learning Landscapes (PLL) initiative is a group of projects designed to transform everyday spaces into opportunities for playful learning. As a part of this initiative, two designs-Lifesize Ruler and Jumping Feet-were installed in an inpatient mental health facility for children and adolescents in the Mid-Atlantic region of the United States. RESULTS: Results of pre-installation and post-installation naturalistic observations suggested that social interactions, the use of STEM-related language and 21st century skills, including confidence, increased after interacting with the installations. CONCLUSIONS: While previous research on PLL projects has demonstrated the efficacy of transforming public spaces into places for playful learning, this research provides support that, even in private, targeted settings, using a trauma-informed approach, children and adolescents, can reap the benefits of playful learning.

Reinventing the public square and early educational settings through culturally informed, community co-design: Playful Learning Landscapes.

What if the environment could be transformed in culturally-responsive and inclusive ways to foster high-quality interactions and spark conversations that drive learning? In this article, we describe a new initiative accomplishing this, called Playful Learning Landscapes (PLL). PLL is an evidence-based initiative that blends findings from the science of learning with community-based participatory research to transform physical public spaces and educational settings into playful learning hubs. Here, we describe our model for conducting this research, which is mindful of three key components: community input, how children learn best, and what children need to learn to be successful in the 21st century economy. We describe how this model was implemented in two PLL case studies: one in a predominantly Latine community and the second in early childhood education classrooms. Furthermore, we describe how research employing our model can be rigorously and reliably evaluated using observational and methodological tools that respond to diverse cultural settings and learning outcomes. For example, our work evaluates how PLL impacts adult-child interaction quality and language use, attitudes about play and learning, and community civic engagement. Taken together, this article highlights new ways to involve community voices in developmental and educational research and provides a model of how science can be translated into practice and evaluated in culturally responsive ways. This synthesis of our process and evaluation can be used by researchers, policymakers, and educators to reimagine early educational experiences with an eye toward the built environment that children inhabit in everyday life, creating opportunities that foster lifelong learning.

How Does the Accuracy of Children's Number Representations Influence the Accuracy of Their Numerical Predictions?

Predictions begin with an extrapolation of the properties of their underlying representations to forecast a future state not presently in evidence. For numerical predictions, sets of numbers are summarized and the result forms the basis of and constrains numerical predictions. One open question is how the accuracy of underlying representations influences predictions, particularly numerical predictions. It is possible that inaccuracies in individual number representations are randomly distributed and averaged over during summarization (e.g., wisdom of crowds). It is also possible that inaccuracies are not random and lead to errors in predictions. We investigated this question by measuring the accuracy of individual number representations of 279 children ages 8-12 years, using a 0-1,000 number line, and numerical predictions, measured using a home run derby task. Consistent with prior research, our results from mixed random effects models evaluating percent absolute error (PAE; prediction error) demonstrated that third graders' representations of individual numbers were less accurate, characterized by overestimation errors, and were associated with overpredictions (i.e., predictions above the set mean). Older children had more accurate individual number representations and a slight tendency to underpredict (i.e., predictions below the set mean). The results suggest that large, systematic inaccuracies appear to skew predictions while small, random errors appear to be averaged over during summarization. These findings add to our understanding of summarization and its role in numerical predictions.

Examining the impact of children's exploration behaviors on creativity.

Creativity is typically measured using divergent thinking tasks where participants are asked to generate multiple responses following a prompt. However, being able to generate responses captures only a partial picture of creativity. Convergent thinking, in which a single solution is chosen, is an equally important part of creativity that is often left out of divergent thinking assessments. Moreover, as the field of creativity evolves, exploration is starting to be recognized as an understudied component of how children generate and apply creative solutions. The current study moved beyond typical divergent thinking tasks and examined a measure of creativity that also captured 4- to 6-year-old children's convergent thinking and exploration behaviors. A total of 130 children participated in a creative problem-solving task where they were asked to remove a ball from a jar using everyday objects. Children's actions were coded as divergent thinking, convergent thinking, or exploration behaviors. Results demonstrated that divergent and convergent thinking performance was not associated with success on the task, indicating that simply generating and selecting more responses is not always enough to achieve a creative outcome. Children's exploration behaviors were positively associated with success on the task. Exploration behaviors were more likely to lead to success if they were purposeful and iterative. These findings provide some of the first evidence that children's exploration is a vital component of creativity.