Research on ‘moral learning’ examines the roles of domain-general processes, such as Bayesian inference and reinforcement learning, in the development of moral beliefs and values. Alert to the power of these processes, and equipped with both the analytic resources of philosophy and the empirical methods of psychology, ‘moral learners’ are ideally placed to discover the contributions of nature, nurture and culture to moral development. However, I argue that to achieve these objectives research on moral learning needs to overcome nativist bias, (...) and distinguish two kinds of social learning: learning from and learning about. An agent learns from others when there is transfer of competence—what the learner learns is similar to, and causally dependent on, what the model knows. When an agent learns about the social world there is no transfer of competence—observable features of other agents are just the content of what-is-learned. Even learning from does not require explicit instruction. A novice can learn from an expert who is ‘leaking’ her morality in the form of emotionally charged behaviour or involuntary use of vocabulary. To the extent that moral development depends on learning from other agents, there is the potential for cultural selection of moral beliefs and values. (shrink)

According to a widely shared view, experience plays only a limited role in children's acquisition of the capacity to pass the false belief test: at most, it facilitates or attunes the development of mindreading abilities from infancy to early childhood. Against the facilitation—and also the maturation—hypothesis, I report empirical data attesting that children and even adults never come to understand false beliefs when deprived of proper social and linguistic interaction. In contrast to the attunement hypothesis, I argue that alleged mindreading (...) abilities in infancy differ significantly from those required to pass the false belief test at age four. I conclude that children's success in the false belief test reflects the acquisition of a novel psychological competence, and argue that social experience in the form of conversation about mental states teaches children to exploit belief reports to predict intelligent behaviour, and induces their acquisition of a capacity to recognize and track others' beliefs across contexts. (shrink)

Evidence from the knowledge access task and the diverse belief task suggests that, before age four, children may find it difficult to attribute false beliefs to others, despite demonstrating a basic comprehension of the concept of belief. Challenging this view, this article assumes a sociopragmatic perspective on language to argue that even children younger than four may not understand at all the concept of belief but may nevertheless master naïvely the pragmatics of belief reports in specific conversational contexts. The proposal (...) suggests a novel interpretation of both the reasons behind younger children’s difficulty with (elicited-response) false belief tasks, and the critical factors enabling children’s success in them. On the one hand, it proposes that younger children fail (elicited-response) false belief tasks because they do not understand the importance of focusing on an agent’s (verbally ascribed) mental states to infer her practical commitments. On the other hand, it suggests that children’s active engagement in conversations where the caregiver credits an agent with a belief is the critical factor integrating their initially scattered mastery of the pragmatics of belief reports, teaches them to track belief reports across contexts, and accordingly shapes their understanding of belief as a representational mental state. (shrink)

This work uses microgenetic study of classroom learning to illuminate (1) the role of pre-instructional student knowledge in the construction of normative scientific knowledge, and (2) the learning mechanisms that drive change. Three enactments of an instructional sequence designed to lead to a scientific understanding of thermal equilibration are used as data sources. Only data from a scaffolded student inquiry preceding introduction of a normative model were used. Hence, the study involves nearly autonomous student learning. In two classes, students developed (...) stable and socially shared explanations (“causal schemes”) for understanding thermal equilibration. One case resulted in a near-normative understanding, while the other resulted in a non-normative “alternative conception.” The near-normative case seems to be a particularly clear example wherein the constructed causal scheme is a composition of previously documented naïve conceptions. Detailed prior description of these naive elements allows a much better than usual view of the corresponding details of change during construction of the new scheme. A list of candidate mechanisms that can account for observed change is presented. The non-normative construction seems also to be a composition, albeit of a different structural form, using a different (although similar) set of naïve elements. This article provides one of very few high-resolution process analyses showing the productive use of naïve knowledge in learning. (shrink)