title: A rational account of pedagogical reasoning: teaching by, and learning from, examples.
abstract: Much of learning and reasoning occurs in pedagogical situations--situations in which a person who knows a concept chooses examples for the purpose of helping a learner acquire the concept. We introduce a model of teaching and learning in pedagogical settings that predicts which examples teachers should choose and what learners should infer given a teacher's examples. We present three experiments testing the model predictions for rule-based, prototype, and causally structured concepts. The model shows good quantitative and qualitative fits to the data across all three experiments, predicting novel qualitative phenomena in each case. We conclude by discussing implications for understanding concept learning and implications for theoretical claims about the role of pedagogy in human learning.
authors.affiliation: University of Louisville, United States. Electronic address: p.shafto@louisville.edu.
authors.forename: Patrick
authors.initials: P
authors.lastname: Shafto
authors.affiliation: Stanford University, United States.
authors.forename: Noah D
authors.initials: ND
authors.lastname: Goodman
authors.affiliation: University of California, Berkeley, United States.
authors.forename: Thomas L
authors.initials: TL
authors.lastname: Griffiths
mesh_terms: D001499:Bayes Theorem; D003210:Concept Formation; D006801:Humans; D019359:Knowledge; D007858:Learning; D011340:Problem Solving
keywords: Bayesian model; Learning; Teaching