Preschool children learn about causal structure from conditional interventions.
By Laura Schulz, Alison Gopnik, Clark Glymour. 2007
224 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Developmental and Educational Psychology, Statistics and Probability
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Developmental and Educational Psychology
In Statistics and Probability
Citations in the corpus
- Reconstructing constructivism: Causal models, Bayesian learning mechanisms and the theory theory (2012, unknown): “In fact, a number of experiments suggest that, at least by age 4, children can use information about the interventions of others in sophisticated ways to learn new causal relationships (e.g., Buchsbaum, Gopnik, & Griffiths, 2011; Gopnik et al., 2004; Schulz et al., 2007).”
- On the nature and origin of intuitive theories : learning, physics and psychology (2015, background): “– Alan Turing principles which are present early on, across cultures, and shared with non-human animals [168, 169, 5, 194, 34, 128, 155, 4, 24, 27].”
- Playgol: learning programs through play (2019, background): “Children learn though play [Schulz et al. , 2007; Sim and Xu, 2017; Sim et al. , 2017].”
- Where science starts: spontaneous experiments in preschoolers' exploratory play. (2011, unknown): “Thus despite evidence for the sophistication of children’s causal reasoning, previous work falls short of suggesting that children design interventions that respect principles of experimental design: children might both learn from informative evidence (Gopnik et al., 2001; Schulz & Gopnik, 2004; Sch”