Projects per year
Abstract / Description of output
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. With the help of Bayesian statistics and a computational modeling framework for the quantitative analysis of participants’ actions, we show that children’s and adults’ actions are equally successful in targeting their goal-relevant uncertainty, but that adults and older children are better able to use this information to respond correctly.
Keywords / Materials (for Non-textual outputs)
- active learning
- intuitive physics
- Bayesian statistics
- mental simulation
- ognitive development
FingerprintDive into the research topics of 'Children's active physical learning is as effective and goal-targeted as adults''. Together they form a unique fingerprint.
- 1 Active
1/04/21 → 31/03/24