Natural pedagogy emerges early in development, but good teaching requires tailoring evidence to learners’ knowledge. How does the ability to reason about others’ minds support early pedagogical evidence selection abilities? In 3 experiments (N = 205), we investigated preschool-aged children’s ability to consider others’ knowledge when selecting evidence in the service of teaching. Results from Experiment 1 revealed that 4-year-olds reliably selected evidence to rectify others’ false beliefs, and provided causal explanations in their teaching, whereas 3-year-olds did not. In Experiment 2, we tie children’s evidence selection abilities to theory of mind (ToM) development, above and beyond effects of age and numerical conservation abilities. In Experiment 3, we employed a 6-week training of children’s pedagogical evidence selection with a new teaching task, and further explored the relationship between these skills and children’s ToM abilities. We qualitatively replicated our results from Experiment 2 and report tentative evidence for a link between the pedagogical training and improvements in ToM. Together, our findings suggest important connections between reasoning about others’ minds and evidential reasoning in natural pedagogy during early childhood.

People can reason intuitively, efficiently, and accurately about everyday physical events.Recent accounts suggest that people use mental simulation to make such intuitive physical judgments. But mental simulation models are computationally expensive; how is physical reasoning relatively accurate, while maintaining computational tractability? We suggest that people make use of partial simulation, mentally moving forward in time only parts of the world deemed relevant. We propose a novel partial simulation model, and test it on the physical conjunction fallacy, a recently observed phenomenon (Ludwin-Peery, Bramley, Davis, & Gureckis, 2020) that poses a challenge for full simulation models. We find an excellent fit between our model's predictions and human performance on a set of scenarios that build on and extend those used by Ludwin-Peery et al. (2020), quantitatively and qualitatively accounting for deviations from optimal performance. Our results suggest more generally how we allocate cognitive resources to efficiently represent and simulate physical scenes.

Natural pedagogy emerges early in development, but good teaching requires tailoring evidence to learners’ knowledge. How does the ability to reason about others’ minds support early pedagogical evidence selection abilities? In three experiments (N = 205), we investigated preschool-aged children’s ability to consider others’ knowledge when selecting evidence in the service of teaching. Results from Experiment 1 revealed that four-year-olds reliably selected evidence to rectify others’ false beliefs, and provided causal explanations in their teaching, whereas three-year-olds did not. In Experiment 2, we tie children’s evidence selection abilities to Theory of Mind (ToM) development, above and beyond effects of age and numerical conservation abilities. In Experiment 3, we employed a 6-week training of children’s pedagogical evidence selection with a new teaching task, and further explored the relationship between these skills and children’s ToM abilities. We qualitatively replicated our results from Experiment 2, and report tentative evidence for a link between the pedagogical training and improvements in ToM. Together, our findings suggest important connections between reasoning about others’ minds and evidential reasoning in natural pedagogy in early childhood.

Adapting studies typically run in the lab, preschool, or museum to online data collection presents a variety of challenges. The solutions to those challenges depend heavily on the specific questions pursued, the methods used, and the constraints imposed by available technology. We present a partial sample of solutions, discussing approaches we have developed for adapting studies targeting a range of different developmental populations, from infants to school-aged children, and utilizing various online methods such as high-framerate video presentation, having participants interact with a display on their own computer, having the experimenter interact with both the participant and an actor, recording free-play with physical objects, recording infant looking times both offline and live, and more. We also raise issues and solutions regarding recruitment and representativeness in online samples. By identifying the concrete needs of a given approach, tools that meet each of those individual needs, and interfaces between those tools, we have been able to implement many (but not all) of our studies using online data collection during the COVID-19 pandemic. This systematic review aligning available tools and approaches with different methods can inform the design of future studies, in and outside of the lab.